Benli Su
Impact in
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- Diabetes Treatment and Management
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Diabetes Management and Research
- Physiology top 10%
- Adipose Tissue and Metabolism
- Diet and metabolism studies
Papers in
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- Diabetes Treatment and Management 4
- Diabetes, Cardiovascular Risks, and Lipoproteins 4
-
- Metabolism, Diabetes, and Cancer 3
- Gut microbiota and health 2
- Co-authors
- Sergio Muñoz (1 shared paper)Sylvie Franckhauser (1 shared paper)Pedro J. Otaegui (1 shared paper)Fátima Bosch (1 shared paper)Alba Casellas (1 shared paper)Anna Pujol (1 shared paper)Efrén Riu (1 shared paper)Dayi Hu (5 shared papers)
- Journals
- Journal of Diabetes (4 papers)PLoS ONE (2 papers)Scientific Reports (2 papers)Journal of Medical Internet Research (1 paper)Frontiers in Endocrinology (1 paper)
- Partner nations
- ChinaPhilippinesTürkiye
In The Last Decade
Benli Su
29 papers receiving 817 citations
Peers
Comparison fields: 5 of 89
- Endocrinology, Diabetes and Metabolism 274
- Physiology 213
- Biochemistry 36
- Molecular Biology 233
- Epidemiology 105
Countries citing papers authored by Benli Su
This map shows the geographic impact of Benli Su'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 Benli Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benli Su more than expected).
Fields of papers citing papers by Benli Su
This network shows the impact of papers produced by Benli Su. 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 Benli Su. The network helps show where Benli Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Benli Su, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 197 | |
| 2 | 2002 | 192 | |
| 3 | 2014 | 118 | |
| 4 | 2014 | 64 | |
| 5 | 2014 | 49 | |
| 6 | 2016 | 39 | |
| 7 | 2015 | 24 | |
| 8 | 2019 | 23 | |
| 9 | 2014 | 16 | |
| 10 | 2018 | 15 | |
| 11 | 2017 | 13 | |
| 12 | 2019 | 12 | |
| 13 | 2018 | 11 | |
| 14 | 2017 | 10 | |
| 15 | 2015 | 10 | |
| 16 | 2013 | 8 | |
| 17 | 2011 | 6 | |
| 18 | 2011 | 4 | |
| 19 | 2000 | 4 | |
| 20 | 2014 | 3 |
About Benli Su
Benli Su is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Cardiology and Cardiovascular Medicine, Surgery and Pulmonary and Respiratory Medicine, having authored 31 papers that have together received 834 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Cardiovascular Health and Disease Prevention (4 papers), Metabolism, Diabetes, and Cancer (3 papers), Cerebrovascular and Carotid Artery Diseases (3 papers), Diabetes and associated disorders (2 papers), Gut microbiota and health (2 papers) and Advanced Glycation End Products research (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (274 citations), Physiology (213 citations), Biochemistry (36 citations), Molecular Biology (233 citations) and Epidemiology (105 citations). Benli Su has collaborated with scholars based in China, Philippines and Türkiye. Frequent co-authors include Sergio Muñoz, Sylvie Franckhauser, Pedro J. Otaegui, Fátima Bosch, Alba Casellas, Anna Pujol, Efrén Riu, Dayi Hu, Qiuhe Ji and Jianping Weng. Their work appears in journals such as Journal of Diabetes, PLoS ONE, Scientific Reports, Journal of Medical Internet Research and Frontiers in Endocrinology.
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.