Cai H

39 papers receiving 399 citations

Peers

Cai H
Comparison fields: 5 of 79
  • Cancer Research 85
  • Cell Biology 52
  • Gastroenterology 16
  • Molecular Biology 199
  • Endocrinology, Diabetes and Metabolism 46
Replace Rebecca L. McCullough with:
Rebecca L. McCullough United States
Richard T. Ethridge United States
Shigeki Tazawa Japan
Dionigi Lorusso Italy
Jieshuang Jia China
Gregory S. Harmon United States
Beiru Zhang China
Tsuyoshi Nagata Japan
György Biczó Hungary
Cai H relative to Rebecca L. McCullough United States Rebecca L. McCullough's profile →
Citations per field
00.5×2.7×
Rebecca L. McCullough · 1×
Citations per year

Countries citing papers authored by Cai H

Since Specialization
Citations

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

Fields of papers citing papers by Cai H

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Cai H, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Cai H Line = papers co-authored together Cai H links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200859
2 200948
3 200847
4 201937
5 201028
6 202024
7 201622
8 201319
9 201917
10 201915
11 202210
12 20208
13 20157
14 20207
15 20197
16 20205
17
LDL receptor research in China.
19955
18
[Isolation, purification, and functional evaluation of human pancreatic islet].
20094
19
[Study on the application of random amplified polymorphic DNA in Yersinia pestis genotyping].
20004
20 20113

About Cai H

Cai H is a scholar working on Molecular Biology, Surgery, Endocrinology, Diabetes and Metabolism, Genetics and Immunology, having authored 41 papers that have together received 406 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (6 papers), Diabetes and associated disorders (5 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Diabetes Management and Research (2 papers), Healthcare and Venom Research (2 papers), Atherosclerosis and Cardiovascular Diseases (2 papers), Diabetes Treatment and Management (2 papers) and Traditional Chinese Medicine Analysis (2 papers). The work is most often cited by research in Cancer Research (85 citations), Cell Biology (52 citations), Gastroenterology (16 citations), Molecular Biology (199 citations) and Endocrinology, Diabetes and Metabolism (46 citations). Cai H has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jinning Lou, Xiuli Men, Liya Ye, Shiqing Xu, Wenjian Zhang, Haiyan Wang, Claes B. Wollheim, Wenjian Zhang, Honglin Liu and Haiyang Wang. Their work appears in journals such as Diabetes, Journal of Endocrinology, Contemporary Clinical Trials, The International Journal of Biochemistry & Cell Biology and Journal of Cellular Physiology.

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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