Michael J. Borucki

28 total papers · 831 total citations
22 papers, 630 citations indexed

About

Michael J. Borucki is a scholar working on Infectious Diseases, Epidemiology and Virology. According to data from OpenAlex, Michael J. Borucki has authored 22 papers receiving a total of 630 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Infectious Diseases, 10 papers in Epidemiology and 7 papers in Virology. Recurrent topics in Michael J. Borucki's work include HIV/AIDS Research and Interventions (7 papers), HIV/AIDS drug development and treatment (7 papers) and HIV Research and Treatment (7 papers). Michael J. Borucki is often cited by papers focused on HIV/AIDS Research and Interventions (7 papers), HIV/AIDS drug development and treatment (7 papers) and HIV Research and Treatment (7 papers). Michael J. Borucki collaborates with scholars based in United States, United Kingdom and Israel. Michael J. Borucki's co-authors include Tejinder S. Ahuja, James J. Grady, Srinivasan Rajaraman, Vahakn B. Shahinian, A K Haque, Juan P. Olano, William Hollander, Michelle Onorato, Daniel Freeman and Gwen Baillargeon and has published in prestigious journals such as Annals of Internal Medicine, Clinical Infectious Diseases and The Journal of Infectious Diseases.

In The Last Decade

Michael J. Borucki

19 papers receiving 605 citations

Author Peers

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

Author Last Decade Papers Cites
Michael J. Borucki 430 275 183 166 65 22 630
A. Frésard 283 0.7× 243 0.9× 63 0.3× 125 0.8× 79 1.2× 47 665
Audra Deveikis 414 1.0× 278 1.0× 99 0.5× 266 1.6× 12 0.2× 21 688
José Mayo 283 0.7× 209 0.8× 143 0.8× 62 0.4× 27 0.4× 33 639
Clifton A. Hawkes 343 0.8× 293 1.1× 35 0.2× 247 1.5× 28 0.4× 14 627
Anthony B. Minnefor 213 0.5× 259 0.9× 58 0.3× 146 0.9× 19 0.3× 28 599
Christoph Rudin 281 0.7× 241 0.9× 134 0.7× 158 1.0× 5 0.1× 33 668
Manuel Fernández Guerrero 256 0.6× 192 0.7× 78 0.4× 116 0.7× 7 0.1× 46 587
Roberto Novati 187 0.4× 367 1.3× 86 0.5× 165 1.0× 204 3.1× 24 715
Ryan Cooper 562 1.3× 275 1.0× 220 1.2× 131 0.8× 53 0.8× 23 735
Jorge Luján‐Zilbermann 215 0.5× 322 1.2× 133 0.7× 79 0.5× 12 0.2× 25 630

Countries citing papers authored by Michael J. Borucki

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Borucki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael J. Borucki. 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 J. Borucki. The network helps show where Michael J. Borucki may publish in the future.

Co-authorship network of co-authors of Michael J. Borucki

This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Borucki. A scholar is included among the top collaborators of Michael J. Borucki 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 Michael J. Borucki. Michael J. Borucki 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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