John O’Quigley

7.9k citations
142 papers · 5.8k · 1 hit paper · h-index 39

Impact in

Papers in

John O’Quigley

135 papers receiving 5.5k citations

John O’Quigley's Hit Papers

Continual Reassessment Method: A Practical Design for Phase 1 Clinical Trials in Cancer 1990 · 1.1k citations
1.1k0+12+24Years since publication2505007501000

Peers

John O’Quigley
Comparison fields: 5 of 166
  • Statistics and Probability 3.2k
  • Management Science and Operations Research 1.5k
  • Hematology 497
  • Statistics, Probability and Uncertainty 228
  • Cancer Research 415
Replace Boris Freidlin with:
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Sumithra J. Mandrekar United States
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John O’Quigley relative to Boris Freidlin United States Boris Freidlin's profile →
Citations per field
00.5×2×3×3.7×
Boris Freidlin · 1×
Citations per year

Countries citing papers authored by John O’Quigley

Since Specialization
Citations

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

Fields of papers citing papers by John O’Quigley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John O’Quigley. 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 John O’Quigley. The network helps show where John O’Quigley may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 142 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Continual Reassessment Method: A Practical Design for Phase 1 Clinical Trials in Cancer
Hit paper breakdown →
19901115
2 1999476
3 1996271
4 2000264
5 1989210
6
Graft failure in patients receiving T cell-depleted HLA-identical allogeneic marrow transplants.
1988177
7 1991129
8 2011126
9 1988120
10 2004119
11 1985111
12 1989110
13 2001106
14 200796
15 200389
16 201481
17 200275
18 200272
19 200370
20 199869

About John O’Quigley

John O’Quigley is a scholar working on Statistics and Probability, Management Science and Operations Research, Economics and Econometrics, Cancer Research and Molecular Biology, having authored 142 papers that have together received 5.8k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (74 papers), Statistical Methods and Inference (36 papers), Optimal Experimental Design Methods (36 papers), Statistical Methods and Bayesian Inference (24 papers), Health Systems, Economic Evaluations, Quality of Life (22 papers), Advanced Causal Inference Techniques (18 papers), Statistical Distribution Estimation and Applications (11 papers) and Cancer Genomics and Diagnostics (11 papers). The work is most often cited by research in Statistics and Probability (3.2k citations), Management Science and Operations Research (1.5k citations), Hematology (497 citations), Statistics, Probability and Uncertainty (228 citations) and Cancer Research (415 citations). John O’Quigley has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Margaret S. Pepe, Lloyd D. Fisher, Alexia Iasonos, Larry Z. Shen, Mark R. Conaway, Nolan A. Wages, Janez Stare, Sarah Zohar, Xavier Paolettí and Sylvie Chevret. Their work appears in journals such as Statistics in Medicine, Biometrics, Contemporary Clinical Trials, Journal of the Royal Statistical Society Series C (Applied Statistics) and Journal of Clinical Oncology.

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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