Richard Simon

53.5k total citations · 11 hit papers
352 papers, 35.9k citations indexed

About

Richard Simon is a scholar working on Statistics and Probability, Molecular Biology and Cancer Research. According to data from OpenAlex, Richard Simon has authored 352 papers receiving a total of 35.9k indexed citations (citations by other indexed papers that have themselves been cited), including 128 papers in Statistics and Probability, 94 papers in Molecular Biology and 78 papers in Cancer Research. Recurrent topics in Richard Simon's work include Statistical Methods in Clinical Trials (111 papers), Cancer Genomics and Diagnostics (67 papers) and Gene expression and cancer classification (59 papers). Richard Simon is often cited by papers focused on Statistical Methods in Clinical Trials (111 papers), Cancer Genomics and Diagnostics (67 papers) and Gene expression and cancer classification (59 papers). Richard Simon collaborates with scholars based in United States, India and Italy. Richard Simon's co-authors include Sylvain Durrleman, Stuart Pocock, Sudhir Varma, Yingdong Zhao, Boris Freidlin, N. Mukunda, Kevin K. Dobbin, Ruth M. Pfeiffer, Annette M. Molinaro and Larry Norton and has published in prestigious journals such as Nature, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

In The Last Decade

Richard Simon

346 papers receiving 34.4k citations

Hit Papers

Optimal two-stage designs for phase II clinical trials 1975 2026 1992 2009 1989 1989 1975 2006 2015 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Richard Simon United States 92 8.7k 8.4k 6.6k 6.1k 5.2k 352 35.9k
N. E. Breslow United States 56 6.1k 0.7× 5.0k 0.6× 5.8k 0.9× 8.0k 1.3× 2.4k 0.5× 111 40.1k
Steven N. Goodman United States 78 7.4k 0.9× 6.7k 0.8× 3.6k 0.5× 2.0k 0.3× 5.8k 1.1× 251 28.7k
Donald A. Berry United States 78 14.6k 1.7× 4.5k 0.5× 4.0k 0.6× 3.4k 0.6× 10.8k 2.1× 375 31.9k
Nan M. Laird United States 78 5.5k 0.6× 6.3k 0.8× 6.7k 1.0× 8.1k 1.3× 2.0k 0.4× 240 68.9k
Colin B. Begg United States 73 8.9k 1.0× 4.1k 0.5× 7.3k 1.1× 2.3k 0.4× 2.7k 0.5× 237 40.1k
Ross L. Prentice United States 86 6.6k 0.8× 3.5k 0.4× 2.8k 0.4× 10.5k 1.7× 2.6k 0.5× 383 42.9k
Jeremy M. G. Taylor United States 72 4.0k 0.5× 5.1k 0.6× 4.2k 0.6× 4.6k 0.8× 2.5k 0.5× 402 22.0k
J. Jack Lee United States 111 14.9k 1.7× 17.2k 2.0× 11.4k 1.7× 2.2k 0.4× 7.5k 1.4× 1.1k 50.3k
Nathan Mantel United States 47 7.8k 0.9× 6.6k 0.8× 6.2k 0.9× 3.7k 0.6× 3.7k 0.7× 285 49.1k
Malcolm C. Pike United States 92 10.3k 1.2× 5.7k 0.7× 4.2k 0.6× 1.0k 0.2× 4.8k 0.9× 403 33.2k

Countries citing papers authored by Richard Simon

Since Specialization
Citations

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

Fields of papers citing papers by Richard Simon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Simon

This figure shows the co-authorship network connecting the top 25 collaborators of Richard Simon. A scholar is included among the top collaborators of Richard Simon 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 Richard Simon. Richard Simon 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
3.
Rahma, Osama E., Joshua E. Reuss, Anita Giobbie‐Hurder, et al.. (2020). Early 3+3 Trial Dose-Escalation Phase I Clinical Trial Design and Suitability for Immune Checkpoint Inhibitors. Clinical Cancer Research. 27(2). 485–491. 3 indexed citations
4.
Leuva, Harshraj, Keith Sigel, Mengxi Zhou, et al.. (2019). A novel approach to assess real-world efficacy of cancer therapy in metastatic prostate cancer. Analysis of national data on Veterans treated with abiraterone and enzalutamide. Seminars in Oncology. 46(4-5). 351–361. 17 indexed citations
5.
Zhao, Yingdong, Eric C. Polley, Chih-Jian Lih, et al.. (2015). GeneMed: An Informatics Hub for the Coordination of Next-Generation Sequencing Studies that Support Precision Oncology Clinical Trials. Cancer Informatics. 14s2(Suppl 1). CIN.S17282–CIN.S17282. 28 indexed citations
6.
Kummar, Shivaani, Chih-Jian Lih, Eric C. Polley, et al.. (2015). Application of Molecular Profiling in Clinical Trials for Advanced Metastatic Cancers. JNCI Journal of the National Cancer Institute. 107(4). djv003–djv003. 41 indexed citations
7.
8.
Kummar, Shivaani, Deborah Allen, Anne Monks, et al.. (2013). Cediranib for Metastatic Alveolar Soft Part Sarcoma. Journal of Clinical Oncology. 31(18). 2296–2302. 156 indexed citations
9.
Abaan, Ogan D., Eric C. Polley, Sean Davis, et al.. (2013). The Exomes of the NCI-60 Panel: A Genomic Resource for Cancer Biology and Systems Pharmacology. Cancer Research. 73(14). 4372–4382. 204 indexed citations
10.
Simon, Richard. (2008). The Use of Genomics in Clinical Trial Design. Clinical Cancer Research. 14(19). 5984–5993. 124 indexed citations
11.
Dobbin, Kevin K., Yingdong Zhao, & Richard Simon. (2008). How Large a Training Set is Needed to Develop a Classifier for Microarray Data?. Clinical Cancer Research. 14(1). 108–114. 91 indexed citations
12.
Jiang, Wenyu, Sudhir Varma, & Richard Simon. (2008). Calculating Confidence Intervals for Prediction Error in Microarray Classification Using Resampling. Statistical Applications in Genetics and Molecular Biology. 7(1). Article8–Article8. 32 indexed citations
13.
Yang, Sherry, Richard Simon, Antoinette R. Tan, Diana Nguyen, & Sandra M. Swain. (2005). Gene Expression Patterns and Profile Changes Pre- and Post-Erlotinib Treatment in Patients with Metastatic Breast Cancer. Clinical Cancer Research. 11(17). 6226–6232. 26 indexed citations
14.
Zhao, Yingdong, Ming‐Chung Li, & Richard Simon. (2005). An adaptive method for cDNA microarray normalization. BMC Bioinformatics. 6(1). 28–28. 24 indexed citations
15.
Thall, Peter F., Kathy Russell, & Richard Simon. (1997). Variable Selection in Regression via Repeated Data Splitting. Journal of Computational and Graphical Statistics. 6(4). 416–434. 10 indexed citations
16.
Faraggi, David & Richard Simon. (1996). A SIMULATION STUDY OF CROSS-VALIDATION FOR SELECTING AN OPTIMAL CUTPOINT IN UNIVARIATE SURVIVAL ANALYSIS. Statistics in Medicine. 15(20). 2203–2213. 115 indexed citations
17.
Thall, Peter F., Richard Simon, & David Alan Grier. (1992). Test-Based Variable Selection via Cross-Validation. Journal of Computational and Graphical Statistics. 1(1). 41–61. 6 indexed citations
18.
Flye, M. Wayne, et al.. (1979). Treatment of osteogenic sarcoma. II. Aggressive resection of pulmonary metastases.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 63(5). 753–6. 27 indexed citations
19.
Simon, Richard. (1978). Clinical prognostic factors in osteosarcoma.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 62(2). 193–7. 11 indexed citations
20.
Eisenberger, Mario A., et al.. (1977). 5-fluorouracil versus CCNU in the treatment of metastatic prostatic cancer.. PubMed. 61(8). 1589–90. 12 indexed citations

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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