Jing‐Lu Jin

2.0k citations
54 papers · 1.2k indexed · h-index 21
Topics
Lipoproteins and Cardiovascular Health (32 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (18 papers)Cancer, Lipids, and Metabolism (14 papers)
Journals
CirculationSHILAP Revista de lepidopterologíaJournal of the American College of Cardiology
Partner nations
ChinaBrazilUnited States

In The Last Decade

Jing‐Lu Jin

53 papers receiving 1.2k citations

Peers

Jing‐Lu Jin
Comparison fields: 5 of 76
  • Surgery 616
  • Cardiology and Cardiovascular Medicine 551
  • Endocrinology, Diabetes and Metabolism 502
  • Epidemiology 305
  • Cancer Research 139
Replace Qian Dong with:
Qian Dong China
Ye‐Xuan Cao China
Jeong‐Gun Park United States
Russell Warnick United States
Di Sun China
Jonathan Fialkow United States
Thomas Gossios Greece
Yanglu Zhao United States
Inder M. Singh United States
In Suck Choi South Korea
Jing‐Lu Jin relative to Qian Dong China Qian Dong's profile →
Citations per field
00.5×1.5×
Qian Dong · 1×
Citations per year

Countries citing papers authored by Jing‐Lu Jin

Since Specialization
Citations

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

Fields of papers citing papers by Jing‐Lu Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jing‐Lu Jin. 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 Jing‐Lu Jin. The network helps show where Jing‐Lu Jin may publish in the future.

Co-authorship network of co-authors of Jing‐Lu Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Jing‐Lu Jin. A scholar is included among the top collaborators of Jing‐Lu Jin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jing‐Lu Jin. Jing‐Lu Jin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 2
3 8
4 14
5 38
6 21
7 21
8 27
9 33
10 28
11 11
12 65
13 34
14 2
15 21
16 12
17 167
18 28
19 2
20 17

About Jing‐Lu Jin

Jing‐Lu Jin is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Cancer Research, having authored 54 papers that have together received 1.2k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (32 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (18 papers) and Cancer, Lipids, and Metabolism (14 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (502 citations), Cardiology and Cardiovascular Medicine (551 citations) and Surgery (616 citations). Jing‐Lu Jin has collaborated with scholars based in China, Brazil and United States. Frequent co-authors include Na‐Qiong Wu, Cheng‐Gang Zhu, Yuan‐Lin Guo, Ye‐Xuan Cao, Jian‐Jun Li, Huiwen Zhang, Ying Gao, Qian Dong, Huihui Liu and Di Sun. Their work appears in journals such as Circulation, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

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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