Pan Gao

1.0k citations
28 papers · 760 · h-index 16

Impact in

Papers in

    • Angiogenesis and VEGF in Cancer 3
    • Kruppel-like factors research 2
    • Atherosclerosis and Cardiovascular Diseases 5

Pan Gao

27 papers receiving 756 citations

Peers

Pan Gao
Comparison fields: 5 of 87
  • Sensory Systems 85
  • Clinical Biochemistry 69
  • Biochemistry 46
  • Nephrology 51
  • Immunology 116
Replace Shyue-Fang Battaglia-Hsu with:
Shyue-Fang Battaglia-Hsu France
Aikaterini Anagnostopoulou United Kingdom
Roman Ginnan United States
Yan‐Hua Du China
John Y. Jun United States
Sudarsan Rajan United States
Carolyn L. Buller United States
Tiffany L. Thai United States
Zekiye Altun Türkiye
Venkanna Pasham Germany
Pan Gao relative to Shyue-Fang Battaglia-Hsu France Shyue-Fang Battaglia-Hsu's profile →
Citations per field
00.5×4.2×
Shyue-Fang Battaglia-Hsu · 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 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200987
2 200875
3 202171
4 201565
5 201359
6 201447
7 202142
8 201237
9 200936
10 201524
11 201022
12 200919
13 200818
14 200917
15 202115
16 202015
17 201713
18 201713
19 201711
20 201511

About Pan Gao

Pan Gao is a scholar working on Molecular Biology, Immunology, Cancer Research, Surgery and Cardiology and Cardiovascular Medicine, having authored 28 papers that have together received 760 indexed citations. Recurring topics across this work include Atherosclerosis and Cardiovascular Diseases (5 papers), NF-κB Signaling Pathways (4 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Angiogenesis and VEGF in Cancer (3 papers), Ion Channels and Receptors (3 papers), Calcium signaling and nucleotide metabolism (2 papers), Kruppel-like factors research (2 papers) and Parathyroid Disorders and Treatments (2 papers). The work is most often cited by research in Sensory Systems (85 citations), Clinical Biochemistry (69 citations), Biochemistry (46 citations), Nephrology (51 citations) and Immunology (116 citations). Pan Gao has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Lan Huang, Jianfei Chen, Yang Yu, Hang Xiao, Shiyong Yu, Wenxue Li, Hui Wu, Shengbo Han, Ruiwei Guo and Hong Wang. Their work appears in journals such as Molecular and Cellular Biochemistry, In Vitro Cellular & Developmental Biology - Animal, Cardiovascular Research, Scientific Reports and Neurochemical Research.

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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