Peng Bin
Impact in
- Animal Science and Zoology top 2%
- Animal Nutrition and Physiology
- Meat and Animal Product Quality
- Biological Psychiatry top 10%
Papers in
-
- Gut microbiota and health 14
- Retinoids in leukemia and cellular processes 3
- Physiology 12
- Pain Mechanisms and Treatments 4
- Diet and metabolism studies 4
- Co-authors
- Yulong Yin (14 shared papers)Gang Liu (12 shared papers)Wenkai Ren (13 shared papers)Xihong Zhou (2 shared papers)Ruilin Huang (1 shared paper)Yordan Martínez (2 shared papers)Dairon Más Toro (1 shared paper)M. Valdivié (1 shared paper)
- Journals
- Food & Function (4 papers)Neuroreport (2 papers)BioMed Research International (2 papers)Amino Acids (2 papers)Frontiers in Microbiology (2 papers)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Peng Bin
47 papers receiving 1.8k citations
Peng Bin's Hit Papers
Peers
Comparison fields: 5 of 125
- Animal Science and Zoology 240
- Biological Psychiatry 47
- Aquatic Science 90
- Nutrition and Dietetics 163
- Aging 19
Countries citing papers authored by Peng Bin
This map shows the geographic impact of Peng Bin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Peng Bin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peng Bin more than expected).
Fields of papers citing papers by Peng Bin
This network shows the impact of papers produced by Peng Bin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Peng Bin. The network helps show where Peng Bin may publish in the future.
Co-authors
The 25 scholars most cited alongside Peng Bin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The role of methionine on metabolism, oxidative stress, and diseases Hit paper breakdown → | 2017 | 439 |
| 2 | 2017 | 191 | |
| 3 | 2018 | 121 | |
| 4 | 2020 | 96 | |
| 5 | 2011 | 83 | |
| 6 | 2017 | 68 | |
| 7 | 2018 | 53 | |
| 8 | 2011 | 43 | |
| 9 | 2016 | 41 | |
| 10 | 2018 | 39 | |
| 11 | 2020 | 36 | |
| 12 | 2022 | 33 | |
| 13 | 2016 | 32 | |
| 14 | 2020 | 29 | |
| 15 | 2018 | 29 | |
| 16 | 2012 | 29 | |
| 17 | 2018 | 29 | |
| 18 | 2017 | 28 | |
| 19 | 2018 | 27 | |
| 20 | 2020 | 25 |
About Peng Bin
Peng Bin is a scholar working on Molecular Biology, Physiology, Infectious Diseases, Nutrition and Dietetics and Food Science, having authored 50 papers that have together received 1.8k indexed citations. Recurring topics across this work include Gut microbiota and health (14 papers), Viral gastroenteritis research and epidemiology (4 papers), Pain Mechanisms and Treatments (4 papers), Probiotics and Fermented Foods (4 papers), Diet and metabolism studies (4 papers), Retinoids in leukemia and cellular processes (3 papers), Antibiotic Resistance in Bacteria (3 papers) and Folate and B Vitamins Research (3 papers). The work is most often cited by research in Animal Science and Zoology (240 citations), Biological Psychiatry (47 citations), Aquatic Science (90 citations), Nutrition and Dietetics (163 citations) and Aging (19 citations). Peng Bin has collaborated with scholars based in China, United States and India. Frequent co-authors include Yulong Yin, Gang Liu, Wenkai Ren, Xihong Zhou, Ruilin Huang, Yordan Martínez, Dairon Más Toro, M. Valdivié, Xue Li and Wenxin Yan. Their work appears in journals such as Food & Function, Neuroreport, BioMed Research International, Amino Acids and Frontiers in Microbiology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.