Jin Yan

517 total citations
14 papers, 411 citations indexed

About

Jin Yan is a scholar working on Molecular Biology, Epidemiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jin Yan has authored 14 papers receiving a total of 411 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Epidemiology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jin Yan's work include Autophagy in Disease and Therapy (6 papers), Ubiquitin and proteasome pathways (3 papers) and Histone Deacetylase Inhibitors Research (3 papers). Jin Yan is often cited by papers focused on Autophagy in Disease and Therapy (6 papers), Ubiquitin and proteasome pathways (3 papers) and Histone Deacetylase Inhibitors Research (3 papers). Jin Yan collaborates with scholars based in United States, China and France. Jin Yan's co-authors include Michael C. Wooten, M. Lamar Seibenhener, Jianxiong Jiang, Marie W. Wooten, Jorge Moscat, María T. Díaz‐Meco, Yifeng Du, Kristi L. Norris, Meghan Kapur and Venkat Giri Magupalli and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Jin Yan

14 papers receiving 408 citations

Peers

Jin Yan
Comparison fields: 5 of 68
  • Molecular Biology 275
  • Epidemiology 120
  • Cellular and Molecular Neuroscience 87
  • Cell Biology 68
  • Neurology 65
Replace Zhong Yan Gan with:
Zhong Yan Gan Australia
Marian Fernandez-Estévez Spain
Nadja Patenge Germany
Isabelle Lang‐Rollin United States
Daniela Strobbe Italy
Odetta Antico United Kingdom
Mario Rodríguez‐Arribas Spain
Limor Avrahami Israel
Damian M. S. Spencer Australia
Nsikan Akpan United States
Zhong Yan Gan Australia View profile →
Citations per field, relative to Jin Yan
Jin Yan · 1×
Citations per year, relative to Jin Yan
Jin Yan · 1×

Countries citing papers authored by Jin Yan

Since Specialization
Citations

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

Fields of papers citing papers by Jin Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Yan

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

All Works

14 of 14 papers shown
# Work Indexed citations
1 3
2 2
3 4
4
Yishen Qingli Heluo Granule in the Treatment of Chronic Kidney Disease: Network Pharmacology Analysis and Experimental Validation
13
5 14
6 17
7 73
8 25
9 64
10 26
11 27
12 97
13 17
14 29

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