Robert Leary

2.1k total citations
27 papers, 1.6k citations indexed

About

Robert Leary is a scholar working on Statistics and Probability, Pharmacology and Molecular Biology. According to data from OpenAlex, Robert Leary has authored 27 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Statistics and Probability, 6 papers in Pharmacology and 4 papers in Molecular Biology. Recurrent topics in Robert Leary's work include Statistical Methods in Clinical Trials (9 papers), Statistical Methods and Bayesian Inference (7 papers) and Antibiotics Pharmacokinetics and Efficacy (6 papers). Robert Leary is often cited by papers focused on Statistical Methods in Clinical Trials (9 papers), Statistical Methods and Bayesian Inference (7 papers) and Antibiotics Pharmacokinetics and Efficacy (6 papers). Robert Leary collaborates with scholars based in United States, United Kingdom and Bulgaria. Robert Leary's co-authors include Jonathan P. K. Doye, Vincent H. Tam, Mark R. Deziel, George L. Drusano, Arnold Louie, Alan Schumitzky, Roger W. Jelliffe, M. Van Guilder, Chetan Bettegowda and Karen Bush and has published in prestigious journals such as Science, Journal of Clinical Investigation and Biophysical Journal.

In The Last Decade

Robert Leary

26 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Robert Leary United States	15	581	434	290	269	224	27	1.6k
Wilhelm Huisinga Germany	26	314 0.5×	74 0.2×	59 0.2×	171 0.6×	1.1k 5.0×	103	2.5k
Kyle Swanson United States	13	211 0.4×	187 0.4×	111 0.4×	79 0.3×	1.5k 6.6×	22	3.4k
Takeshi Hirota Japan	28	229 0.4×	28 0.1×	207 0.7×	129 0.5×	457 2.0×	115	2.7k
Yi Cheng China	34	55 0.1×	127 0.3×	328 1.1×	169 0.6×	1.1k 4.8×	210	3.9k
William R. Baker United States	27	187 0.3×	170 0.4×	23 0.1×	595 2.2×	981 4.4×	102	2.8k
Mita Chatterjee Debnath India	21	107 0.2×	121 0.3×	27 0.1×	42 0.2×	367 1.6×	53	1.3k
Tomás Alarcón Spain	29	67 0.1×	113 0.3×	558 1.9×	189 0.7×	1.4k 6.3×	144	3.4k
M. Tamm Switzerland	32	66 0.1×	96 0.2×	76 0.3×	943 3.5×	469 2.1×	101	3.1k
Monia Guidi Switzerland	22	288 0.5×	45 0.1×	20 0.1×	156 0.6×	183 0.8×	90	1.4k
Paolo Vicini United States	34	145 0.2×	23 0.1×	231 0.8×	262 1.0×	1000 4.5×	127	3.8k

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-authorship network of co-authors of Robert Leary

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Leary. A scholar is included among the top collaborators of Robert Leary 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 Robert Leary. Robert Leary is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Chen, Rong, et al.. (2025). ADPO: automatic-differentiation-assisted parametric optimization. Journal of Pharmacokinetics and Pharmacodynamics. 52(5). 53–53.

2.

Yamada, Walter M., Michael Neely, Jay Bartroff, et al.. (2020). An Algorithm for Nonparametric Estimation of a Multivariate Mixing Distribution with Applications to Population Pharmacokinetics. Pharmaceutics. 13(1). 42–42. 15 indexed citations

3.

Feng, Kairui & Robert Leary. (2016). Toward Personalized Medicine with Physiologically Based Pharmacokinetic Modeling. 2(1). 1–4. 6 indexed citations

4.

Bettegowda, Chetan, Mark Sausen, Robert Leary, et al.. (2014). DETECTION OF CIRCULATING TUMOR DNA IN EARLY AND LATE STAGE HUMAN MALIGNANCIES. Neuro-Oncology. 16(suppl 3). iii7–iii7. 344 indexed citations

5.

Yamada, Walter M., Jay Bartroff, David S. Bayard, et al.. (2013). The Nonparametric Adaptive Grid Algorithm for Population Pharmacokinetic Modeling. 3 indexed citations

6.

Tam, Vincent H., Arnold Louie, Thomas R. Fritsche, et al.. (2007). Impact of Drug‐Exposure Intensity and Duration of Therapy on the Emergence ofStaphylococcus aureusResistance to a Quinolone Antimicrobial. The Journal of Infectious Diseases. 195(12). 1818–1827. 77 indexed citations

7.

Leary, Robert, et al.. (2006). Parametric and Nonparametric Population Methods. Clinical Pharmacokinetics. 45(4). 365–383. 67 indexed citations

8.

Tam, Vincent H., Arnold Louie, Mark R. Deziel, et al.. (2005). Bacterial‐Population Responses to Drug‐Selective Pressure: Examination of Garenoxacin's Effect onPseudomonas aeruginosa. The Journal of Infectious Diseases. 192(3). 420–428. 88 indexed citations

9.

Leary, Robert, et al.. (2004). An Optimal Structure-Discriminative Amino Acid Index for Protein Fold Recognition. Biophysical Journal. 86(1). 411–419. 8 indexed citations

10.

Doye, Jonathan P. K., Robert Leary, Marco Locatelli, & Fabio Schoen. (2004). Global Optimization of Morse Clusters by Potential Energy Transformations. INFORMS journal on computing. 16(4). 371–379. 57 indexed citations

11.

Leary, Robert. (2004). Accurate vs. approximate likelihood methods in population analysis of sparse data sets. Clinical Pharmacology & Therapeutics. 75(2). P30–P30. 2 indexed citations

12.

Jumbe, Nelson L. ‘Shasha’, Arnold Louie, Robert Leary, et al.. (2003). Application of a mathematical model to prevent in vivo amplification of antibiotic-resistant bacterial populations during therapy. Journal of Clinical Investigation. 112(2). 275–285. 201 indexed citations

13.

Jumbe, Nelson L. ‘Shasha’, Arnold Louie, Robert Leary, et al.. (2003). Application of a mathematical model to prevent in vivo amplification of antibiotic-resistant bacterial populations during therapy. Journal of Clinical Investigation. 112(2). 275–285. 196 indexed citations

14.

Leary, Robert. (2001). Flirting with Catastrophe. Science. 293(5537). 2013–2014. 3 indexed citations

15.

Leary, Robert. (2000). Global Optimization on Funneling Landscapes. Journal of Global Optimization. 18(4). 367–383. 161 indexed citations

16.

Leary, Robert & Jonathan P. K. Doye. (1999). Tetrahedral global minimum for the 98-atom Lennard-Jones cluster. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 60(6). R6320–R6322. 146 indexed citations

17.

Jelliffe, Roger W., Michael Van Guilder, Robert Leary, et al.. (1998). NONLINEAR PARAMETRIC AND NONPARAMETRIC POPULATION PHARMACOKINETIC MODELING ON A SUPERCOMPUTER. 1 indexed citations

18.

Heinmets, F. & Robert Leary. (1991). A study of deoxyribonucleotide metabolism and its relation to DNA synthesis. Cell Biophysics. 18(3). 263–277. 2 indexed citations

19.

Messina, Paul, E.W. Felten, Robert Leary, et al.. (1990). Benchmarking advanced architecture computers. Concurrency Practice and Experience. 2(3). 195–255. 17 indexed citations

20.

Leary, Robert. (1955). A mnemonic for the monosaccharides. Journal of Chemical Education. 32(8). 409–409. 1 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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