Robert A. Beckman

5.4k citations
113 papers · 3.7k · h-index 33

Impact in

Papers in

Robert A. Beckman

110 papers receiving 3.6k citations

Peers

Robert A. Beckman
Comparison fields: 5 of 155
  • Cancer Research 600
  • Statistics and Probability 325
  • Oncology 686
  • Molecular Biology 1.7k
  • Modeling and Simulation 109
Replace Robert J. Kinders with:
Robert J. Kinders United States
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S. Percy Ivy United States
Paul J. Smith United Kingdom
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Philippe L. Bédard Canada
Robert J. Jones United Kingdom
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Robert A. Beckman relative to Robert J. Kinders United States Robert J. Kinders's profile →
Citations per field
00.5×4.7×
Robert J. Kinders · 1×
Citations per year

Countries citing papers authored by Robert A. Beckman

Since Specialization
Citations

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

Fields of papers citing papers by Robert A. Beckman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 113 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012255
2 2006218
3 1992172
4 2008164
5 1985164
6 2005152
7 2002139
8 2002129
9 1979109
10 1979103
11 2020102
12 1996102
13 198194
14 200781
15 201276
16 201176
17 201374
18 201373
19 200669
20 200466

About Robert A. Beckman

Robert A. Beckman is a scholar working on Oncology, Statistics and Probability, Molecular Biology, Cancer Research and Economics and Econometrics, having authored 113 papers that have together received 3.7k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (27 papers), Cancer Genomics and Diagnostics (24 papers), Health Systems, Economic Evaluations, Quality of Life (17 papers), HER2/EGFR in Cancer Research (11 papers), Lung Cancer Treatments and Mutations (9 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), Colorectal Cancer Treatments and Studies (8 papers) and Optimal Experimental Design Methods (8 papers). The work is most often cited by research in Cancer Research (600 citations), Statistics and Probability (325 citations), Oncology (686 citations), Molecular Biology (1.7k citations) and Modeling and Simulation (109 citations). Robert A. Beckman has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Lawrence A. Loeb, James R. Heath, Cong Chen, Hugh M. Davis, Louis M. Weiner, Jason H. Bielas, Albert S. Mildvan, Sophia N. Yaliraki, Mauricio Barahona and Michael Diehl. Their work appears in journals such as Statistics in Biopharmaceutical Research, Journal of Clinical Oncology, Clinical Cancer Research, PLoS ONE and Proceedings of the National Academy of Sciences.

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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