Brian C. Cunningham

8.5k citations
47 papers · 6.9k indexed · 3 hit papers · h-index 33

Brian C. Cunningham

45 papers receiving 6.5k citations

Hit Papers

Rational Design of Potent Antagonists to the Human Growth...52719892026200120132505007501000

Peers

Brian C. Cunningham
Comparison fields: 5 of 137
  • Endocrinology, Diabetes and Metabolism 1.7k
  • Radiology, Nuclear Medicine and Imaging 1.5k
  • Molecular Biology 4.4k
  • Immunology and Allergy 282
  • Immunology 936
Replace Werner Reutter with:
Werner Reutter Germany
Aviv Gazit Israel
Norman M. Greenberg United States
Sandip K. Basu United States
Yves A. Muller Germany
Takao Hayakawa Japan
Trond Berg Norway
A. D’Arcy Switzerland
W.S. Somers United States
Jane B. Trepel United States
Brian C. Cunningham relative to Werner Reutter Germany Werner Reutter's profile →
Citations per field
00.5×1.5×2.5×
Werner Reutter · 1×
Citations per year

Countries citing papers authored by Brian C. Cunningham

Since Specialization
Citations

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

Fields of papers citing papers by Brian C. Cunningham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 202312
3 20231
4 2000330
5 1998210
6 1998216
7 199764
8 199747
9 199757
10 199656
11 199619
12
Impact of the Human Genome Project at the interface between patent and FDA laws.
19962
13 199646
14 199420
15 1993442
16 199287
17 19926
18 1991187
19 198765
20 1986110

About Brian C. Cunningham

Brian C. Cunningham is a scholar working on Endocrinology, Diabetes and Metabolism, Biotechnology and Immunology and Allergy, having authored 47 papers that have together received 6.9k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (15 papers), Monoclonal and Polyclonal Antibodies Research (14 papers), Glycosylation and Glycoproteins Research (7 papers), Angiogenesis and VEGF in Cancer (6 papers), Cell Adhesion Molecules Research (4 papers), Enzyme Production and Characterization (4 papers), Peptidase Inhibition and Analysis (3 papers) and Metabolism, Diabetes, and Cancer (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.7k citations), Radiology, Nuclear Medicine and Imaging (1.5k citations) and Molecular Biology (4.4k citations). Brian C. Cunningham has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include James A. Wells, Germaine Fuh, Abraham M. de Vos, Michael G. Mulkerrin, Henry B. Lowman, Mark Ultsch, Karl R. Clauser, Hans W. Christinger, Bing Li and Yves A. Muller. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences, Biochemistry, Journal of Biological Chemistry and Journal of Antimicrobial Chemotherapy.

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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