Shannon Kasperbauer

41 total papers · 752 total citations
22 papers, 491 citations indexed

About

Shannon Kasperbauer is a scholar working on Epidemiology, Infectious Diseases and Small Animals. According to data from OpenAlex, Shannon Kasperbauer has authored 22 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Epidemiology, 15 papers in Infectious Diseases and 10 papers in Small Animals. Recurrent topics in Shannon Kasperbauer's work include Mycobacterium research and diagnosis (20 papers), Tuberculosis Research and Epidemiology (15 papers) and Infectious Diseases and Mycology (10 papers). Shannon Kasperbauer is often cited by papers focused on Mycobacterium research and diagnosis (20 papers), Tuberculosis Research and Epidemiology (15 papers) and Infectious Diseases and Mycology (10 papers). Shannon Kasperbauer collaborates with scholars based in United States, South Korea and United Kingdom. Shannon Kasperbauer's co-authors include Charles L. Daley, Mary Ann De Groote, Gwen A. Huitt, Michael Holt, Noah J. Goldstein, J. Benjamin St. Clair, Bennie Lindeque, Adrah Levin, Edward D. Chan and Mary Ann DeGroote and has published in prestigious journals such as Clinical Infectious Diseases, CHEST Journal and Antimicrobial Agents and Chemotherapy.

In The Last Decade

Shannon Kasperbauer

22 papers receiving 478 citations

Author Peers

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

Author Last Decade Papers Cites
Shannon Kasperbauer 419 290 174 110 58 22 491
María Alice da Silva Telles 418 1.0× 354 1.2× 142 0.8× 94 0.9× 24 0.4× 27 480
Jeana L. Benwill 456 1.1× 366 1.3× 233 1.3× 92 0.8× 78 1.3× 10 506
Dina Fisher 351 0.8× 376 1.3× 108 0.6× 142 1.3× 29 0.5× 31 477
Kiyohiko Izumi 394 0.9× 339 1.2× 157 0.9× 83 0.8× 34 0.6× 25 477
Raymond F. Corpe 347 0.8× 271 0.9× 67 0.4× 139 1.3× 45 0.8× 35 457
M Havelková 354 0.8× 310 1.1× 140 0.8× 129 1.2× 26 0.4× 24 425
Cecile Magis‐Escurra 356 0.8× 389 1.3× 161 0.9× 55 0.5× 73 1.3× 24 548
J Banks 349 0.8× 281 1.0× 146 0.8× 80 0.7× 58 1.0× 17 449
Fausta Ardito 323 0.8× 250 0.9× 129 0.7× 168 1.5× 19 0.3× 13 486
Sanne M.H. Zweijpfenning 380 0.9× 322 1.1× 204 1.2× 29 0.3× 85 1.5× 14 407

Countries citing papers authored by Shannon Kasperbauer

Since Specialization
Citations

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

Fields of papers citing papers by Shannon Kasperbauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shannon Kasperbauer

This figure shows the co-authorship network connecting the top 25 collaborators of Shannon Kasperbauer. A scholar is included among the top collaborators of Shannon Kasperbauer 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 Shannon Kasperbauer. Shannon Kasperbauer 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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