Michael O’Kelly

8.9k citations
26 papers · 7.0k · 1 hit paper · h-index 13

Impact in

  • Genetics top 0.2%
    • Glioma Diagnosis and Treatment
    • Cancer Genomics and Diagnostics
    • MicroRNA in disease regulation
    • Cancer, Hypoxia, and Metabolism

Papers in

    • Statistical Methods in Clinical Trials 16
    • Advanced Causal Inference Techniques 12
    • Statistical Methods and Bayesian Inference 5
    • Statistical Methods and Inference 4
    • Health Systems, Economic Evaluations, Quality of Life 10

Michael O’Kelly

23 papers receiving 6.9k citations

Michael O’Kelly's Hit Papers

Comprehensive genomic characterization defines human glioblastoma genes and core pathways 2008 · 6.4k citations
6.4k0+6+12Years since publication2.0k4.0k6.0k

Peers

Michael O’Kelly
Comparison fields: 5 of 125
  • Genetics 2.3k
  • Cancer Research 2.2k
  • Molecular Biology 3.6k
  • Statistics and Probability 379
  • Oncology 986
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Michael O’Kelly relative to Jim Vaught United States Jim Vaught's profile →
Citations per field
00.5×2×3.0×
Jim Vaught · 1×
Citations per year

Countries citing papers authored by Michael O’Kelly

Since Specialization
Citations

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

Fields of papers citing papers by Michael O’Kelly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Comprehensive genomic characterization defines human glioblastoma genes and core pathways
Hit paper breakdown →
20086384
2 2013120
3 201496
4 202059
5 202052
6 202051
7 201338
8 201334
9 201631
10 201629
11 202028
12 200414
13 201013
14 201611
15 20197
16 20177
17 20106
18 20196
19 20236
20 20135

About Michael O’Kelly

Michael O’Kelly is a scholar working on Statistics and Probability, Economics and Econometrics, Statistics, Probability and Uncertainty, Pharmacology and Infectious Diseases, having authored 26 papers that have together received 7.0k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (16 papers), Advanced Causal Inference Techniques (12 papers), Health Systems, Economic Evaluations, Quality of Life (10 papers), Statistical Methods and Bayesian Inference (5 papers), Statistical Methods and Inference (4 papers), Advanced Statistical Process Monitoring (2 papers), COVID-19 Clinical Research Studies (2 papers) and Meta-analysis and systematic reviews (2 papers). The work is most often cited by research in Genetics (2.3k citations), Cancer Research (2.2k citations), Molecular Biology (3.6k citations), Statistics and Probability (379 citations) and Oncology (986 citations). Michael O’Kelly has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Bohdana Ratitch, Robert L. Tosiello, Ilya A. Lipkovich, Craig H. Mallinckrodt, Geert Molenberghs, Pritibha Singh, James Roger, Jonathan William Bartlett, Niti Goel and Christy Chuang‐Stein. Their work appears in journals such as Therapeutic Innovation & Regulatory Science, Pharmaceutical Statistics, Statistics in Biopharmaceutical Research, Journal of Biopharmaceutical Statistics and Nature.

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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