Robert L. Camp

16.1k total citations · 4 hit papers
118 papers, 12.8k citations indexed

About

Robert L. Camp is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Robert L. Camp has authored 118 papers receiving a total of 12.8k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Molecular Biology, 56 papers in Oncology and 19 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Robert L. Camp's work include HER2/EGFR in Cancer Research (26 papers), Gene expression and cancer classification (14 papers) and Cell Adhesion Molecules Research (14 papers). Robert L. Camp is often cited by papers focused on HER2/EGFR in Cancer Research (26 papers), Gene expression and cancer classification (14 papers) and Cell Adhesion Molecules Research (14 papers). Robert L. Camp collaborates with scholars based in United States, Canada and Spain. Robert L. Camp's co-authors include David L. Rimm, Marisa Dolled‐Filhart, Gina G. Chung, Harriet M. Kluger, Lori A. Charette, Ellen Puré, Amanda Psyrri, Diane Kowalski, Bruce G. Haffty and Ziwei Yu and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Medicine.

In The Last Decade

Robert L. Camp

118 papers receiving 12.6k citations

Hit Papers

X-Tile 2000 2026 2008 2017 2004 2000 2002 2006 500 1000 1.5k 2.0k 2.5k

Peers

Robert L. Camp
Comparison fields: 5 of 150
  • Molecular Biology 6.2k
  • Oncology 5.7k
  • Cancer Research 2.4k
  • Pulmonary and Respiratory Medicine 2.3k
  • Surgery 1.5k
Replace Timothy J. Yeatman with:
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Peter Schraml Switzerland
Peter M. Siegel Canada
Federico Rojo Spain
Timothy J. Yeatman United States View profile →
Citations per field, relative to Robert L. Camp
Robert L. Camp · 1×
Citations per year, relative to Robert L. Camp
Robert L. Camp · 1×

Countries citing papers authored by Robert L. Camp

Since Specialization
Citations

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

Fields of papers citing papers by Robert L. Camp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert L. Camp. 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 Robert L. Camp. The network helps show where Robert L. Camp may publish in the future.

Co-authorship network of co-authors of Robert L. Camp

This figure shows the co-authorship network connecting the top 25 collaborators of Robert L. Camp. A scholar is included among the top collaborators of Robert L. Camp based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Robert L. Camp. Robert L. Camp is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 24
2 30
3 260
4 52
5 69
6 98
7 50
8 34
9 33
10 42
11 110
12 21
13 90
14 54
15 93
16 34
17 66
18
Quantitative analysis of breast cancer tissue microarrays shows that both high and normal levels of HER2 expression are associated with poor outcome.
184
19 81
20 74

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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