Jian‐Jun Li

369 total papers · 8.7k total citations
256 papers, 5.6k citations indexed

About

Jian‐Jun Li is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Epidemiology. According to data from OpenAlex, Jian‐Jun Li has authored 256 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 143 papers in Surgery, 104 papers in Cardiology and Cardiovascular Medicine and 59 papers in Epidemiology. Recurrent topics in Jian‐Jun Li's work include Lipoproteins and Cardiovascular Health (94 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (41 papers) and Acute Myocardial Infarction Research (37 papers). Jian‐Jun Li is often cited by papers focused on Lipoproteins and Cardiovascular Health (94 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (41 papers) and Acute Myocardial Infarction Research (37 papers). Jian‐Jun Li collaborates with scholars based in China, United States and Japan. Jian‐Jun Li's co-authors include Na‐Qiong Wu, Chun‐Hong Fang, Cheng‐Gang Zhu, Yuan‐Lin Guo, Lichan Tao, Fei Hua, Jiani Xu, Tingting Wang, Ye‐Xuan Cao and Huihui Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Circulation Research.

In The Last Decade

Jian‐Jun Li

235 papers receiving 5.5k citations

Hit Papers

Triglyceride-glucose inde... 2022 2026 2023 2024 2022 2023 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jian‐Jun Li 1.9k 1.9k 1.3k 1.1k 742 256 5.6k
Jian‐Jun Li 2.4k 1.3× 1.2k 0.6× 669 0.5× 878 0.8× 828 1.1× 229 5.5k
Elmo Mannarino 1.6k 0.9× 2.9k 1.5× 1.3k 1.0× 1.2k 1.1× 1.0k 1.4× 206 7.6k
Anna Chiara Frigo 2.3k 1.2× 1.3k 0.7× 1.6k 1.2× 866 0.8× 706 1.0× 237 6.9k
Paolo Calabrò 1.6k 0.9× 3.6k 1.9× 1.5k 1.1× 945 0.9× 1.2k 1.7× 297 7.3k
Alexios S. Antonopoulos 1.6k 0.8× 3.0k 1.6× 1.3k 1.0× 801 0.7× 1.3k 1.8× 198 6.9k
Akira Sekikawa 1.1k 0.6× 1.5k 0.8× 849 0.6× 1.6k 1.5× 1.0k 1.4× 176 6.2k
Stefania Basili 1.5k 0.8× 2.4k 1.3× 2.0k 1.5× 714 0.7× 1.0k 1.4× 243 8.2k
Hubert Scharnagl 2.6k 1.3× 1.6k 0.8× 1.3k 1.0× 1.8k 1.6× 1.4k 1.9× 264 7.3k
Haruo Nakamura 2.2k 1.1× 1.4k 0.7× 600 0.5× 1.0k 1.0× 677 0.9× 302 5.5k
Katsumi Miyauchi 2.8k 1.5× 2.8k 1.5× 624 0.5× 961 0.9× 655 0.9× 302 6.1k

Countries citing papers authored by Jian‐Jun Li

Since Specialization
Citations

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

Fields of papers citing papers by Jian‐Jun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jian‐Jun Li

This figure shows the co-authorship network connecting the top 25 collaborators of Jian‐Jun Li. A scholar is included among the top collaborators of Jian‐Jun Li 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 Jian‐Jun Li. Jian‐Jun Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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