Boris Freidlin

10.7k citations
120 papers · 6.4k indexed · h-index 40

Impact in

Papers in

    • Statistical Methods in Clinical Trials 80
    • Advanced Causal Inference Techniques 21
    • Statistical Methods and Bayesian Inference 9
    • Cancer Genomics and Diagnostics 34

Boris Freidlin

116 papers receiving 6.2k citations

Peers

Boris Freidlin
Comparison fields: 5 of 163
  • Statistics and Probability 1.9k
  • Cancer Research 1.2k
  • Oncology 1.9k
  • Genetics 463
  • Pulmonary and Respiratory Medicine 1.3k
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Sumithra J. Mandrekar United States
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John O’Quigley France
Joanna H. Shih United States
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Christophe Le Tourneau France
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Citations per field
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Sumithra J. Mandrekar · 1×
Citations per year

Countries citing papers authored by Boris Freidlin

Since Specialization
Citations

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

Fields of papers citing papers by Boris Freidlin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20244
2 20241
3 20242
4 20240
5 20239
6 20229
7 202220
8 20223
9 20214
10
Expanded access trial of tocilizumab in COVID19+hospitalized cancer patients
20201
11 20193
12 20192
13 20175
14 20168
15 2013101
16 20073
17 200654
18 20042
19 1997433
20 19955

About Boris Freidlin

Boris Freidlin is a scholar working on Statistics and Probability, Cancer Research, Statistics, Probability and Uncertainty, Economics and Econometrics and Management Science and Operations Research, having authored 120 papers that have together received 6.4k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (80 papers), Cancer Genomics and Diagnostics (34 papers), Health Systems, Economic Evaluations, Quality of Life (28 papers), Advanced Causal Inference Techniques (21 papers), Meta-analysis and systematic reviews (15 papers), Optimal Experimental Design Methods (12 papers), Lung Cancer Treatments and Mutations (11 papers) and Statistical Methods and Bayesian Inference (9 papers). The work is most often cited by research in Statistics and Probability (1.9k citations), Cancer Research (1.2k citations), Oncology (1.9k citations), Genetics (463 citations) and Pulmonary and Respiratory Medicine (1.3k citations). Boris Freidlin has collaborated with scholars based in United States, Malaysia and Canada. Frequent co-authors include Edward L. Korn, Richard Simon, Joseph L. Gastwirth, Lisa M. McShane, Larry Rubinstein, Malcolm A. Smith, Janet Dancey, Gang Zheng, Zhaohai Li and Richard H. Simon. Their work appears in journals such as Journal of Clinical Oncology, JNCI Journal of the National Cancer Institute, Clinical Trials, Statistics in Medicine and Clinical Cancer Research.

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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2026