Yanbing Li

7.0k citations
246 papers · 4.2k · h-index 35

Impact in

Papers in

Yanbing Li

233 papers receiving 4.1k citations

Peers

Yanbing Li
Comparison fields: 5 of 151
  • Endocrinology, Diabetes and Metabolism 1.0k
  • Cancer Research 634
  • Nephrology 147
  • Molecular Biology 1.3k
  • Pathology and Forensic Medicine 237
Replace Chunyu Zeng with:
Chunyu Zeng China
Venkatesh Krishnan United States
Li Yan China
Dachun Yao Greece
Assunta Pandolfi Italy
Jung‐Min Koh South Korea
Yao Sun United States
Christophe Beauloye Belgium
Beom‐Jun Kim South Korea
Younan Chen China
Yanbing Li relative to Chunyu Zeng China Chunyu Zeng's profile →
Citations per field
00.5×1.5×2.4×
Chunyu Zeng · 1×
Citations per year

Countries citing papers authored by Yanbing Li

Since Specialization
Citations

This map shows the geographic impact of Yanbing Li'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 Yanbing Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanbing Li more than expected).

Fields of papers citing papers by Yanbing Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yanbing Li. 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 Yanbing Li. The network helps show where Yanbing Li may publish in the future.

Co-authors

The 25 scholars most cited alongside Yanbing Li, 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 Yanbing Li Line = papers co-authored together Yanbing Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 246 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004246
2 2012175
3 2015113
4 2009107
5 202197
6 202186
7 201376
8 201475
9 201469
10 201167
11 201465
12 201662
13 201760
14 199560
15 202259
16 201654
17 201552
18 202052
19 201851
20 201650

About Yanbing Li

Yanbing Li is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Surgery, Cancer Research and Pathology and Forensic Medicine, having authored 246 papers that have together received 4.2k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (10 papers), Metabolism, Diabetes, and Cancer (9 papers), MicroRNA in disease regulation (9 papers), Cancer-related molecular mechanisms research (8 papers), RNA modifications and cancer (8 papers), Pancreatic function and diabetes (7 papers), Gestational Diabetes Research and Management (7 papers) and Advanced Glycation End Products research (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.0k citations), Cancer Research (634 citations), Nephrology (147 citations), Molecular Biology (1.3k citations) and Pathology and Forensic Medicine (237 citations). Yanbing Li has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Haipeng Xiao, Zhimin Huang, Hongyu Guan, Xiaopei Cao, Zhihong Liao, Shuang Yu, Liehua Liu, Hai Li, Hongyu Guan and Shubin Hong. Their work appears in journals such as Diabetes Research and Clinical Practice, The Journal of Clinical Endocrinology & Metabolism, Endocrine Connections, Journal of Diabetes and Thyroid.

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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