Robert Leary

26 papers receiving 1.6k citations

Peers

Robert Leary
Comparison fields: 5 of 131
  • Molecular Medicine 434
  • Applied Microbiology and Biotechnology 137
  • Pharmacology 581
  • Cancer Research 290
  • Clinical Biochemistry 87
Replace Wilhelm Huisinga with:
Wilhelm Huisinga Germany
David Z. D’Argenio United States
Étienne Dumont United States
M. Tamm Switzerland
Kyle Swanson United States
Tomás Alarcón Spain
Dennis M. Grasela United States
Robert J. Bauer United States
William Kirby United States
John McConnell United States
Robert Leary relative to Wilhelm Huisinga Germany Wilhelm Huisinga's profile →
Citations per field
00.5×5.9×
Wilhelm Huisinga · 1×
Citations per year

Countries citing papers authored by Robert Leary

Since Specialization
Citations

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

Fields of papers citing papers by Robert Leary

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014344
2 2003201
3 2003196
4 2000161
5 1999146
6 2002113
7 200588
8 200777
9 200667
10 199762
11 200457
12 200632
13 199017
14 202216
15 202015
16 20048
17 20166
18 20026
19 20096
20 20013

About Robert Leary

Robert Leary is a scholar working on Statistics and Probability, Pharmacology, Molecular Biology, Atomic and Molecular Physics, and Optics and Artificial Intelligence, having authored 27 papers that have together received 1.6k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (9 papers), Statistical Methods and Bayesian Inference (7 papers), Antibiotics Pharmacokinetics and Efficacy (6 papers), Advanced Chemical Physics Studies (4 papers), Statistical Methods and Inference (4 papers), Antibiotic Resistance in Bacteria (4 papers), Protein Structure and Dynamics (3 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Molecular Medicine (434 citations), Applied Microbiology and Biotechnology (137 citations), Pharmacology (581 citations), Cancer Research (290 citations) and Clinical Biochemistry (87 citations). Robert Leary has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Jonathan P. K. Doye, Vincent H. Tam, Arnold Louie, Mark R. Deziel, George L. Drusano, Alan Schumitzky, Roger W. Jelliffe, M. Van Guilder, Bert Vogelstein and James B. Kahn. Their work appears in journals such as Journal of Clinical Investigation, Journal of Global Optimization, The Journal of Infectious Diseases, Clinical Pharmacology & Therapeutics and Antimicrobial Agents and Chemotherapy.

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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