Benli Su

1.5k citations
31 papers · 808 · h-index 12

Impact in

Papers in

Benli Su

29 papers receiving 792 citations

Peers

Benli Su
Comparison fields: 5 of 94
  • Endocrinology, Diabetes and Metabolism 380
  • Physiology 249
  • Biochemistry 38
  • Cardiology and Cardiovascular Medicine 107
  • Epidemiology 156
Replace Sarah J. Jackson with:
Sarah J. Jackson United Kingdom
Daniel Castellano‐Castillo Spain
Sang‐Hyun Lee South Korea
Tomás Meroño Argentina
Maimaiti Yisireyili Japan
Carolina M. Perdomo Spain
Margarita Torres‐Tamayo Mexico
Tanja Dujić Bosnia and Herzegovina
Ehtasham Ahmad United Kingdom
Chrysoula Boutari Greece
Benli Su relative to Sarah J. Jackson United Kingdom Sarah J. Jackson's profile →
Citations per field
00.5×2.7×
Sarah J. Jackson · 1×
Citations per year

Countries citing papers authored by Benli Su

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Benli Su Line = papers co-authored together Benli Su links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013193
2 2002182
3 2014115
4 201463
5 201449
6 201637
7 201922
8 201522
9 201416
10 201815
11 201712
12 201912
13 201710
14 201810
15 20159
16 20138
17 20116
18 20114
19 20004
20 20113

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 808 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (8 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Metabolism, Diabetes, and Cancer (5 papers), Diabetes Management and Research (4 papers), Diabetes and associated disorders (4 papers), Cardiovascular Health and Disease Prevention (4 papers), Cerebrovascular and Carotid Artery Diseases (3 papers) and Pancreatic function and diabetes (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (380 citations), Physiology (249 citations), Biochemistry (38 citations), Cardiology and Cardiovascular Medicine (107 citations) and Epidemiology (156 citations). Benli Su has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Sergio Muñoz, Sylvie Franckhauser, Fátima Bosch, Alba Casellas, Efrén Riu, Pedro J. Otaegui, Anna Pujol, Dayi Hu, Changyu Pan and Linong Ji. Their work appears in journals such as Journal of Diabetes, Scientific Reports, PLoS ONE, Journal of Diabetes Investigation and International Journal of Medical Sciences.

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.

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