Jinjin Cai

916 total citations
21 papers, 693 citations indexed

About

Jinjin Cai is a scholar working on Molecular Biology, Epidemiology and Physiology. According to data from OpenAlex, Jinjin Cai has authored 21 papers receiving a total of 693 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Epidemiology and 5 papers in Physiology. Recurrent topics in Jinjin Cai's work include Autophagy in Disease and Therapy (4 papers), Adipose Tissue and Metabolism (3 papers) and Adipokines, Inflammation, and Metabolic Diseases (3 papers). Jinjin Cai is often cited by papers focused on Autophagy in Disease and Therapy (4 papers), Adipose Tissue and Metabolism (3 papers) and Adipokines, Inflammation, and Metabolic Diseases (3 papers). Jinjin Cai collaborates with scholars based in United States, China and France. Jinjin Cai's co-authors include Matthew K. Topham, Timothy E. Graham, Ashot Sargsyan, Stephen Gee, Hanan Abramovici, Fumio Sakane, Akinobu Taketomi, Rana V. Smalling, Stephen M. Prescott and Sihem Boudina and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Oncology.

In The Last Decade

Jinjin Cai

18 papers receiving 683 citations

Peers

Jinjin Cai
Comparison fields: 5 of 93
  • Molecular Biology 408
  • Epidemiology 157
  • Physiology 136
  • Biochemistry 99
  • Cell Biology 87
Replace Mary Y. K. Lee with:
Mary Y. K. Lee Hong Kong
Kuo‐Hui Su Taiwan
Anne Reifel‐Miller United States
Goowon Yang South Korea
Inmaculada Valle Spain
Juan M. Esteve Spain
Ilwola Mattagajasingh United States
Jeremy DeRicco United States
Masahiro Okouchi Japan
Mary Y. K. Lee Hong Kong View profile →
Citations per field, relative to Jinjin Cai
Jinjin Cai · 1×
Citations per year, relative to Jinjin Cai
Jinjin Cai · 1×

Countries citing papers authored by Jinjin Cai

Since Specialization
Citations

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

Fields of papers citing papers by Jinjin Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinjin Cai

This figure shows the co-authorship network connecting the top 25 collaborators of Jinjin Cai. A scholar is included among the top collaborators of Jinjin Cai 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 Jinjin Cai. Jinjin Cai 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
# Work Indexed citations
1 0
2 4
3 15
4 0
5 17
6 19
7 75
8 7
9 1
10 18
11 74
12 69
13 29
14 5
15 111
16 19
17 76
18 83
19 52
20
[Advances in the research on P34CDC2 kinase].
0

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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