Yun Jing

90 total papers · 430 total citations
34 papers, 311 citations indexed

About

Yun Jing is a scholar working on Neurology, Endocrinology, Diabetes and Metabolism and Biomedical Engineering. According to data from OpenAlex, Yun Jing has authored 34 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Neurology, 6 papers in Endocrinology, Diabetes and Metabolism and 6 papers in Biomedical Engineering. Recurrent topics in Yun Jing's work include Myasthenia Gravis and Thymoma (12 papers), Pituitary Gland Disorders and Treatments (5 papers) and Parkinson's Disease and Spinal Disorders (4 papers). Yun Jing is often cited by papers focused on Myasthenia Gravis and Thymoma (12 papers), Pituitary Gland Disorders and Treatments (5 papers) and Parkinson's Disease and Spinal Disorders (4 papers). Yun Jing collaborates with scholars based in China, United States and France. Yun Jing's co-authors include Lei Yu, Sangmee Ahn Jo, Raymond Tabibiazar, Paul A. Rosenberg, Jing Zhao, Nina Irwin, Larry I. Benowitz, Pierre Borne, Claudia A. O. Stuermer and Fei Li and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and Advanced Functional Materials.

In The Last Decade

Yun Jing

29 papers receiving 303 citations

Author Peers

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

Author Last Decade Papers Cites
Yun Jing 91 45 39 39 38 34 311
Yuan Yang 61 0.7× 20 0.4× 22 0.6× 59 1.5× 10 0.3× 30 341
Longlong Zheng 81 0.9× 21 0.5× 15 0.4× 91 2.3× 7 0.2× 20 322
Alexander Berg 14 0.2× 87 1.9× 18 0.5× 56 1.4× 4 0.1× 23 296
Chao Sun 66 0.7× 42 0.9× 28 0.7× 82 2.1× 3 0.1× 29 338
Shujian Li 56 0.6× 14 0.3× 27 0.7× 33 0.8× 7 0.2× 23 287
Li-tian Huang 94 1.0× 36 0.8× 26 0.7× 123 3.2× 3 0.1× 14 344
Minoru Aoyagi 77 0.8× 27 0.6× 16 0.4× 49 1.3× 44 329
Longmin Chen 24 0.3× 22 0.5× 15 0.4× 81 2.1× 5 0.1× 18 225
Kazuki Ohuchi 46 0.5× 31 0.7× 19 0.5× 159 4.1× 2 0.1× 31 277
Lingling Yao 31 0.3× 52 1.2× 16 0.4× 88 2.3× 3 0.1× 29 300

Countries citing papers authored by Yun Jing

Since Specialization
Citations

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

Fields of papers citing papers by Yun Jing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yun Jing

This figure shows the co-authorship network connecting the top 25 collaborators of Yun Jing. A scholar is included among the top collaborators of Yun Jing 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 Yun Jing. Yun Jing 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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2026