William M. O’Leary

48 total papers · 1.6k total citations
43 papers, 1.2k citations indexed

About

William M. O’Leary is a scholar working on Molecular Biology, Microbiology and Epidemiology. According to data from OpenAlex, William M. O’Leary has authored 43 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 10 papers in Microbiology and 9 papers in Epidemiology. Recurrent topics in William M. O’Leary's work include Reproductive tract infections research (9 papers), Antibiotic Resistance in Bacteria (4 papers) and Microbial Metabolic Engineering and Bioproduction (4 papers). William M. O’Leary is often cited by papers focused on Reproductive tract infections research (9 papers), Antibiotic Resistance in Bacteria (4 papers) and Microbial Metabolic Engineering and Bioproduction (4 papers). William M. O’Leary collaborates with scholars based in United States, Austria and France. William M. O’Leary's co-authors include John I. Gallin, Donald Kaye, Dana M. Fowlkes, Christine E. Swenson, June K. Dunnick, Attila Tóth, Gerald B. Dooher, John Macleod, William J. Suling and Teh‐Yung Liu and has published in prestigious journals such as Nature, New England Journal of Medicine and Journal of Biological Chemistry.

In The Last Decade

William M. O’Leary

42 papers receiving 1.0k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
William M. O’Leary 393 212 181 157 122 43 1.2k
Donatella Verbanac 590 1.5× 85 0.4× 183 1.0× 78 0.5× 103 0.8× 67 1.4k
S. Sankari 312 0.8× 74 0.3× 114 0.6× 63 0.4× 152 1.2× 84 1.4k
Phillip Cash 395 1.0× 82 0.4× 167 0.9× 79 0.5× 38 0.3× 44 971
Paul C. Legolvan 387 1.0× 71 0.3× 140 0.8× 27 0.2× 32 0.3× 26 1.3k
Ourlad Alzeus G. Tantengco 152 0.4× 124 0.6× 303 1.7× 44 0.3× 58 0.5× 95 943
Linlin Hu 359 0.9× 69 0.3× 106 0.6× 96 0.6× 33 0.3× 69 928
Juan C. Cancino‐Díaz 493 1.3× 114 0.5× 112 0.6× 17 0.1× 98 0.8× 82 1.2k
Wanglong Zheng 365 0.9× 70 0.3× 130 0.7× 108 0.7× 120 1.0× 76 1.4k
J. A. Cole 423 1.1× 189 0.9× 79 0.4× 26 0.2× 27 0.2× 33 1.1k
Wenkui Dai 748 1.9× 104 0.5× 269 1.5× 17 0.1× 81 0.7× 68 1.5k

Countries citing papers authored by William M. O’Leary

Since Specialization
Citations

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

Fields of papers citing papers by William M. O’Leary

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William M. O’Leary

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

All Works

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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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