Brian Cao

1.7k citations
40 papers · 1.3k · h-index 17

Impact in

  • Hepatology top 2%
    • Liver physiology and pathology
  • Nephrology top 5%
    • Parathyroid Disorders and Treatments

Papers in

    • Fibroblast Growth Factor Research 4
    • Glycosylation and Glycoproteins Research 3
    • Advanced Biosensing Techniques and Applications 3
    • Viral Infectious Diseases and Gene Expression in Insects 3
    • Liver physiology and pathology 13

Brian Cao

39 papers receiving 1.3k citations

Peers

Brian Cao
Comparison fields: 5 of 87
  • Hepatology 334
  • Nephrology 174
  • Oncology 322
  • Cancer Research 157
  • Molecular Biology 595
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Citations per field
00.5×4.3×
Brian Dolinski · 1×
Citations per year

Countries citing papers authored by Brian Cao

Since Specialization
Citations

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

Fields of papers citing papers by Brian Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004193
2 2001186
3 2005133
4
Met protein expression level correlates with survival in patients with late-stage nasopharyngeal carcinoma.
2002122
5 2008114
6 200465
7 200848
8 200445
9 201345
10 200740
11 200934
12 200826
13 200525
14 200824
15 200521
16 200721
17 200220
18 201016
19 201114
20
Molecular imaging application of radioiodinated anti-EGFR human Fab to EGFR-overexpressing tumor xenografts.
200913

About Brian Cao

Brian Cao is a scholar working on Molecular Biology, Hepatology, Radiology, Nuclear Medicine and Imaging, Surgery and Oncology, having authored 40 papers that have together received 1.3k indexed citations. Recurring topics across this work include Liver physiology and pathology (13 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), Cancer, Hypoxia, and Metabolism (5 papers), Fibroblast Growth Factor Research (4 papers), Glycosylation and Glycoproteins Research (3 papers), Advanced Biosensing Techniques and Applications (3 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers) and Radiopharmaceutical Chemistry and Applications (3 papers). The work is most often cited by research in Hepatology (334 citations), Nephrology (174 citations), Oncology (322 citations), Cancer Research (157 citations) and Molecular Biology (595 citations). Brian Cao has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Ping Zhao, George F. Vande Woude, Yanli Su, James H. Resau, Eric J. Kort, Ling-Mei Wang, Bin Tean Teh, Ping Zhao, Marianne Oskarsson and Robert J. Fisher. Their work appears in journals such as Clinical Cancer Research, PLoS ONE, Journal of Immunological Methods, Molecular Imaging and Infection and Immunity.

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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