Open Access
Open access

Microbiology spectrum

American Society for Microbiology
American Society for Microbiology
ISSN: 21650497

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SCImago
Q1
WOS
Q2
Impact factor
3.7
SJR
1.028
CiteScore
3.2
Categories
Ecology
Immunology and Microbiology (miscellaneous)
Infectious Diseases
Physiology
Cell Biology
Genetics
Microbiology (medical)
Areas
Biochemistry, Genetics and Molecular Biology
Environmental Science
Immunology and Microbiology
Medicine
Years of issue
2013-2025
journal names
Microbiology spectrum
MICROBIOL SPECTR
Publications
7 100
Citations
83 238
h-index
99
Top-3 citing journals
Frontiers in Microbiology
Frontiers in Microbiology (3228 citations)
Microbiology spectrum
Microbiology spectrum (2154 citations)
Microorganisms
Microorganisms (1654 citations)
Top-3 organizations
Zhejiang University
Zhejiang University (131 publications)
Yangzhou University
Yangzhou University (94 publications)
Top-3 countries
China (2290 publications)
USA (2073 publications)
United Kingdom (404 publications)

Most cited in 5 years

Found 
from chars
Publications found: 69
Science of Nonalcoholic Fatty Liver Disease in Anti-Aging Medicine 2011
Sumida Y., Naito Y., Hashimoto E., Aoi W., Takahashi Y., Yonei Y., Yoshikawa T.
ANTI-AGING MEDICINE 2012 citations by CoLab: 1
Adiponectin and Healthy Aging in Centenarians
Arai Y., Hirose N.
ANTI-AGING MEDICINE 2012 citations by CoLab: 8
Anti-Aging Medicine and Reproductive Health
Jinno M., Tamura H., Yonei Y.
ANTI-AGING MEDICINE 2012 citations by CoLab: 2
Active Component in Green Tea Catechins and Effective Intake Period for Prevention of Age-related Brain Dysfunction
Unno K., Yamamoto H., Ohtaki T., Ishikawa Y., Noda S., Maeda K., Fujitani K., Miyazaki H., Takabayashi F., Sasaki T., Hoshino M.
ANTI-AGING MEDICINE 2011 citations by CoLab: 5
Protection and Therapy of Photoaging
Kawada A.
ANTI-AGING MEDICINE 2011 citations by CoLab: 2
Nω-(carboxymethyl)arginine Accumulates in Glycated Collagen and Klotho-deficient Mouse Skin
Shimasaki S., Kubota M., Yoshitomi M., Takagi K., Suda K., Mera K., Fujiwara Y., Nagai R.
ANTI-AGING MEDICINE 2011 citations by CoLab: 3
Development of a Model of Functional Endocrine Age in Japanese People
Nomoto K., Arita S., Yonei Y.
ANTI-AGING MEDICINE 2011 citations by CoLab: 10
Effects of Health Food Containing Cistanche Deserticola Extract on QOL and Safety in Elderly: An Open Pilot Study of 12-week Oral Treatment
Yonei Y., Kitano T., Ogura M., Hori M., Watanabe M., Hamada U., Matsuoka S., Ono E., Ohno T., Shen M.
ANTI-AGING MEDICINE 2011 citations by CoLab: 2
Glycation Stress and Photo-Aging in Skin
Ichihashi M., Yagi M., Nomoto K., Yonei Y.
ANTI-AGING MEDICINE 2011 citations by CoLab: 33
Relationship Between the Change in Daily Step Count and Brachial-Ankle Wave Velocity During a Pedometer-Based Physical Activity Program for Older Adults
Miyazaki R., Yonei Y., Azuma Y., Chiba H., Hayashi K., Yamatsu K., Ishii K.
ANTI-AGING MEDICINE 2011 citations by CoLab: 2
Effects of Age and Body Mass Index on Accuracy of Simple Moderate Vigorous Physical Activity Monitor Under Controlled Condition
Ayabe M., Aoki J., Kumahara H., Ishii K., Yonei Y., Tanaka H.
ANTI-AGING MEDICINE 2011 citations by CoLab: 1
Effects of Body Mass Index (BMI), Dietary Intake and Serum Antioxidant Vitamin Concentration on Urinary 8-hydroxydeoxyguanosine and F2-isoprostane Excretions
Narukawa T., Anzai Y., Murakami T., Isogai R., Nakagawa S., Yamada H.
ANTI-AGING MEDICINE 2011 citations by CoLab: 10  |  Abstract
Objective: The objective of this study was to identify the optimal BMI and desirable dietary habits for reducing oxidative stress and thereby slowing aging and preventing chronic diseases. We examined the relationships between urinary 8-hydroxydeoxyguanosine (8-OHdG) and F2-isoprostane excretions with BMI, dietary intakes and serum antioxidant vitamin concentrations. Method: The subjects were 15 people undergoing an Anti-Aging checkup (average age 64.9 [42-79], average BMI 23.2[16.0-31.6]).Exclusion criteria included a history of cancer, cardiovascular disease, stroke, diabetes, and current smoking. The serum parameters examined were α-carotene, β-carotene, vitamin C and vitamin E, the urinary parameters were 8-OHdG and F2-isoprostane and the dietary intake parameters were energy, carbohydrate, fat, protein, α-carotene, β-carotene, vitamin C, vitamin E and fruit and vegetable. Results: The relationships between urinary 8-OHdG and F2-isoprostane excretions and BMI both followed a quadratic curve with the lowest levels at BMI 23 (8-OHdG: R²= 0.749, F2-isoprostane: R² = 0.519). Multiple linear regression analysis showed that important variation factors for urinary 8-OHdG excretion were BMI and carbohydrate/energy ratio (R²= 0.826). Important variation factors for urinary F2-isoprostane excretion were BMI and serum vitamin E concentration (R²=0.613). Conclusion: The relationships between urinary 8-OHdG and F2-isoprostane excretions and BMI both followed a U-shaped curve with the lowest levels at BMI 23.
ATP Released from Low-dose Gamma Ray-irradiated Cells Activates Intracellular Antioxidant Systems via Purine Receptors
Kojima S., Takai E., Tsukimoto M.
ANTI-AGING MEDICINE 2011 citations by CoLab: 9
Effects of Exercise and Anti-Aging
Nakajima T., Yasuda T., Sato Y., Morita T., Yamasoba T.
ANTI-AGING MEDICINE 2011 citations by CoLab: 14
Functional Age and Bouts of Physical Activity in Middle-Aged to Older Japanese Adults; Yurin-Study
Ayabe M., Yonei Y., Miyazaki R., Kumahara H., Sakane N., Ishii K.
ANTI-AGING MEDICINE 2011 citations by CoLab: 1

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Publishing countries

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China, 2290, 32.25%
USA, 2073, 29.2%
United Kingdom, 404, 5.69%
Germany, 385, 5.42%
France, 349, 4.92%
Japan, 308, 4.34%
Canada, 287, 4.04%
Spain, 276, 3.89%
Australia, 227, 3.2%
Republic of Korea, 189, 2.66%
India, 174, 2.45%
Netherlands, 171, 2.41%
Italy, 169, 2.38%
Switzerland, 134, 1.89%
Brazil, 123, 1.73%
Denmark, 123, 1.73%
Belgium, 113, 1.59%
Sweden, 100, 1.41%
Israel, 78, 1.1%
Austria, 70, 0.99%
Thailand, 60, 0.85%
South Africa, 60, 0.85%
Portugal, 59, 0.83%
Mexico, 59, 0.83%
Singapore, 54, 0.76%
Poland, 53, 0.75%
Finland, 47, 0.66%
Czech Republic, 47, 0.66%
Ireland, 39, 0.55%
Norway, 38, 0.54%
Chile, 37, 0.52%
Egypt, 33, 0.46%
Colombia, 32, 0.45%
Argentina, 31, 0.44%
New Zealand, 30, 0.42%
Russia, 28, 0.39%
Pakistan, 25, 0.35%
Bangladesh, 23, 0.32%
Iran, 23, 0.32%
Saudi Arabia, 21, 0.3%
Uganda, 21, 0.3%
Hungary, 20, 0.28%
Turkey, 18, 0.25%
Greece, 16, 0.23%
Malaysia, 15, 0.21%
Slovenia, 15, 0.21%
Ghana, 14, 0.2%
Kenya, 14, 0.2%
Nigeria, 13, 0.18%
Peru, 13, 0.18%
Ethiopia, 12, 0.17%
Puerto Rico, 10, 0.14%
Vietnam, 9, 0.13%
Tunisia, 9, 0.13%
Georgia, 8, 0.11%
Indonesia, 8, 0.11%
Qatar, 8, 0.11%
Venezuela, 7, 0.1%
Kuwait, 7, 0.1%
Lebanon, 7, 0.1%
UAE, 7, 0.1%
Cambodia, 6, 0.08%
Serbia, 6, 0.08%
Slovakia, 6, 0.08%
Sudan, 6, 0.08%
Philippines, 6, 0.08%
Croatia, 6, 0.08%
Ecuador, 6, 0.08%
Iraq, 5, 0.07%
Cameroon, 5, 0.07%
Malawi, 5, 0.07%
Mali, 5, 0.07%
Sri Lanka, 5, 0.07%
Costa Rica, 4, 0.06%
Nepal, 4, 0.06%
Estonia, 3, 0.04%
Algeria, 3, 0.04%
Armenia, 3, 0.04%
Bahrain, 3, 0.04%
Gabon, 3, 0.04%
Gambia, 3, 0.04%
Iceland, 3, 0.04%
Côte d'Ivoire, 3, 0.04%
Latvia, 3, 0.04%
Mozambique, 3, 0.04%
Namibia, 3, 0.04%
Oman, 3, 0.04%
Paraguay, 3, 0.04%
Romania, 3, 0.04%
Tanzania, 3, 0.04%
Kazakhstan, 2, 0.03%
Benin, 2, 0.03%
Zambia, 2, 0.03%
Zimbabwe, 2, 0.03%
Cuba, 2, 0.03%
Laos, 2, 0.03%
Luxembourg, 2, 0.03%
Malta, 2, 0.03%
Myanmar, 2, 0.03%
New Caledonia, 2, 0.03%
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China, 2268, 36.29%
USA, 1607, 25.71%
Germany, 329, 5.26%
United Kingdom, 309, 4.94%
Japan, 303, 4.85%
France, 264, 4.22%
Spain, 244, 3.9%
Canada, 243, 3.89%
Australia, 197, 3.15%
Republic of Korea, 178, 2.85%
India, 167, 2.67%
Italy, 152, 2.43%
Netherlands, 152, 2.43%
Brazil, 117, 1.87%
Switzerland, 117, 1.87%
Denmark, 109, 1.74%
Belgium, 104, 1.66%
Sweden, 85, 1.36%
Israel, 70, 1.12%
Austria, 62, 0.99%
Thailand, 58, 0.93%
Mexico, 55, 0.88%
Portugal, 51, 0.82%
Poland, 49, 0.78%
South Africa, 48, 0.77%
Czech Republic, 47, 0.75%
Singapore, 46, 0.74%
Finland, 46, 0.74%
Norway, 37, 0.59%
Chile, 34, 0.54%
Egypt, 33, 0.53%
Ireland, 32, 0.51%
Colombia, 29, 0.46%
Argentina, 28, 0.45%
Russia, 27, 0.43%
Pakistan, 25, 0.4%
Bangladesh, 23, 0.37%
New Zealand, 23, 0.37%
Iran, 22, 0.35%
Saudi Arabia, 21, 0.34%
Uganda, 20, 0.32%
Hungary, 18, 0.29%
Turkey, 16, 0.26%
Malaysia, 15, 0.24%
Ghana, 14, 0.22%
Greece, 14, 0.22%
Kenya, 14, 0.22%
Slovenia, 14, 0.22%
Nigeria, 13, 0.21%
Peru, 12, 0.19%
Ethiopia, 12, 0.19%
Tunisia, 9, 0.14%
Vietnam, 8, 0.13%
Indonesia, 8, 0.13%
Qatar, 7, 0.11%
Kuwait, 7, 0.11%
UAE, 7, 0.11%
Venezuela, 6, 0.1%
Cambodia, 6, 0.1%
Serbia, 6, 0.1%
Slovakia, 6, 0.1%
Sudan, 6, 0.1%
Philippines, 6, 0.1%
Croatia, 6, 0.1%
Ecuador, 6, 0.1%
Iraq, 5, 0.08%
Cameroon, 5, 0.08%
Lebanon, 5, 0.08%
Malawi, 5, 0.08%
Mali, 5, 0.08%
Sri Lanka, 4, 0.06%
Estonia, 3, 0.05%
Armenia, 3, 0.05%
Bahrain, 3, 0.05%
Gabon, 3, 0.05%
Gambia, 3, 0.05%
Costa Rica, 3, 0.05%
Côte d'Ivoire, 3, 0.05%
Latvia, 3, 0.05%
Mozambique, 3, 0.05%
Namibia, 3, 0.05%
Nepal, 3, 0.05%
Oman, 3, 0.05%
Paraguay, 3, 0.05%
Puerto Rico, 3, 0.05%
Romania, 3, 0.05%
Tanzania, 3, 0.05%
Kazakhstan, 2, 0.03%
Algeria, 2, 0.03%
Benin, 2, 0.03%
Georgia, 2, 0.03%
Zambia, 2, 0.03%
Zimbabwe, 2, 0.03%
Iceland, 2, 0.03%
Cuba, 2, 0.03%
Laos, 2, 0.03%
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