Pan Gao

1.1k citations
29 papers · 794 · h-index 16

Impact in

Papers in

    • Angiogenesis and VEGF in Cancer 2
    • interferon and immune responses 2
    • Atherosclerosis and Cardiovascular Diseases 2

Pan Gao

28 papers receiving 788 citations

Peers

Pan Gao
Comparison fields: 5 of 87
  • Sensory Systems 85
  • Clinical Biochemistry 63
  • Nephrology 53
  • Biochemistry 44
  • Geriatrics and Gerontology 17
Replace Aikaterini Anagnostopoulou with:
Aikaterini Anagnostopoulou United Kingdom
Shyue-Fang Battaglia-Hsu France
John Y. Jun United States
Carolyn L. Buller United States
Jamie W. Meyer United States
Tomohiko Sasase Japan
Zekiye Altun Türkiye
Xiaochun Yang China
Pan Gao relative to Aikaterini Anagnostopoulou United Kingdom Aikaterini Anagnostopoulou's profile →
Citations per field
00.5×2.6×
Aikaterini Anagnostopoulou · 1×
Citations per year

Countries citing papers authored by Pan Gao

Since Specialization
Citations

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

Fields of papers citing papers by Pan Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Pan Gao, 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 Pan Gao Line = papers co-authored together Pan Gao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200991
2 200878
3 202173
4 201570
5 201360
6 201449
7 202147
8 201239
9 200939
10 201524
11 201023
12 200920
13 200818
14 200918
15 202116
16 202015
17 201713
18 201713
19 202011
20 201711

About Pan Gao

Pan Gao is a scholar working on Molecular Biology, Immunology, Cancer Research, Surgery and Cardiology and Cardiovascular Medicine, having authored 29 papers that have together received 794 indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (4 papers), Ion Channels and Receptors (3 papers), interferon and immune responses (2 papers), Protease and Inhibitor Mechanisms (2 papers), Angiogenesis and VEGF in Cancer (2 papers), Aortic aneurysm repair treatments (2 papers), Atherosclerosis and Cardiovascular Diseases (2 papers) and Parathyroid Disorders and Treatments (2 papers). The work is most often cited by research in Sensory Systems (85 citations), Clinical Biochemistry (63 citations), Nephrology (53 citations), Biochemistry (44 citations) and Geriatrics and Gerontology (17 citations). Pan Gao has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Lan Huang, Jianfei Chen, Yang Yu, Shiyong Yu, Hang Xiao, Hui Wu, Wenxue Li, Shengbo Han, Hong Wang and Ruiwei Guo. Their work appears in journals such as Molecular and Cellular Biochemistry, Cardiovascular Research, In Vitro Cellular & Developmental Biology - Animal, Journal of Molecular and Cellular Cardiology and Regulatory Peptides.

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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