Peng Men
Impact in
- Clinical Biochemistry top 10%
- Bacterial Identification and Susceptibility Testing
-
- Diabetes Treatment and Management
- Diabetes Management and Research
Papers in
-
- Diabetes Treatment and Management 11
- Diabetes Management and Research 6
- Diabetes, Cardiovascular Risks, and Lipoproteins 2
-
- Metabolism, Diabetes, and Cancer 4
- Co-authors
- Suodi Zhai (20 shared papers)Rongsheng Zhao (3 shared papers)Chunli Song (3 shared papers)Xin Liu (3 shared papers)Na He (4 shared papers)Yuhui Wang (2 shared papers)Chaojie Liu (2 shared papers)Zhigang Zhao (2 shared papers)
- Journals
- Lipids in Health and Disease (2 papers)Frontiers in Oncology (2 papers)Frontiers in Pharmacology (2 papers)PLoS ONE (2 papers)Osteoporosis International (2 papers)
- Partner nations
- ChinaGermanyUnited Kingdom
In The Last Decade
Peng Men
27 papers receiving 363 citations
Peers
Comparison fields: 5 of 73
- Clinical Biochemistry 47
- Endocrinology, Diabetes and Metabolism 111
- Pharmacology 76
- Infectious Diseases 72
- Applied Microbiology and Biotechnology 6
Countries citing papers authored by Peng Men
This map shows the geographic impact of Peng Men'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 Men with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peng Men more than expected).
Fields of papers citing papers by Peng Men
This network shows the impact of papers produced by Peng Men. 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 Men. The network helps show where Peng Men may publish in the future.
Co-authors
The 25 scholars most cited alongside Peng Men, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 85 | |
| 2 | 2019 | 26 | |
| 3 | 2018 | 25 | |
| 4 | 2017 | 25 | |
| 5 | 2016 | 24 | |
| 6 | 2021 | 21 | |
| 7 | 2017 | 21 | |
| 8 | 2019 | 16 | |
| 9 | 2015 | 15 | |
| 10 | 2019 | 14 | |
| 11 | 2020 | 12 | |
| 12 | 2021 | 11 | |
| 13 | 2018 | 11 | |
| 14 | 2020 | 10 | |
| 15 | 2021 | 9 | |
| 16 | 2020 | 7 | |
| 17 | 2020 | 6 | |
| 18 | 2021 | 5 | |
| 19 | 2020 | 5 | |
| 20 | 2019 | 4 |
About Peng Men
Peng Men is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Oncology, Surgery and Pharmacology, having authored 29 papers that have together received 371 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (11 papers), Diabetes Management and Research (6 papers), Metabolism, Diabetes, and Cancer (4 papers), Peptidase Inhibition and Analysis (3 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Bipolar Disorder and Treatment (2 papers) and Neuropeptides and Animal Physiology (2 papers). The work is most often cited by research in Clinical Biochemistry (47 citations), Endocrinology, Diabetes and Metabolism (111 citations), Pharmacology (76 citations), Infectious Diseases (72 citations) and Applied Microbiology and Biotechnology (6 citations). Peng Men has collaborated with scholars based in China, Germany and United Kingdom. Frequent co-authors include Suodi Zhai, Rongsheng Zhao, Chunli Song, Xin Liu, Na He, Yuhui Wang, Chaojie Liu, Zhigang Zhao, Shuli Qu and Xiaotong Li. Their work appears in journals such as Lipids in Health and Disease, Frontiers in Oncology, Frontiers in Pharmacology, PLoS ONE and Osteoporosis International.
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.