Amy Kerrigan

1.5k total citations · 1 hit paper
8 papers, 763 citations indexed

About

Amy Kerrigan is a scholar working on Infectious Diseases, Surgery and Epidemiology. According to data from OpenAlex, Amy Kerrigan has authored 8 papers receiving a total of 763 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Infectious Diseases, 4 papers in Surgery and 4 papers in Epidemiology. Recurrent topics in Amy Kerrigan's work include Tuberculosis Research and Epidemiology (5 papers), Infectious Diseases and Tuberculosis (2 papers) and Pneumocystis jirovecii pneumonia detection and treatment (2 papers). Amy Kerrigan is often cited by papers focused on Tuberculosis Research and Epidemiology (5 papers), Infectious Diseases and Tuberculosis (2 papers) and Pneumocystis jirovecii pneumonia detection and treatment (2 papers). Amy Kerrigan collaborates with scholars based in United States, Australia and Madagascar. Amy Kerrigan's co-authors include Andrey Borisov, Timothy R. Sterling, Margarita E. Villarino, Nong Shang, Marc Weiner, Dick Menzies, Fred M. Gordin, C. Robert Horsburgh, Marcus Barreto Conde and Richard E. Chaisson and has published in prestigious journals such as New England Journal of Medicine, Clinical Infectious Diseases and Ecology Letters.

In The Last Decade

Amy Kerrigan

7 papers receiving 739 citations

Hit Papers

Three Months of Rifapentine and Isoniazid for Latent Tube... 2011 2026 2016 2021 2011 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amy Kerrigan United States 5 696 562 379 33 31 8 763
Kai Kliiman Estonia 10 635 0.9× 545 1.0× 278 0.7× 27 0.8× 65 2.1× 12 725
Veriko Mirtskhulava Georgia 11 448 0.6× 323 0.6× 167 0.4× 15 0.5× 36 1.2× 17 551
Kamila Romanowski Canada 12 437 0.6× 325 0.6× 201 0.5× 64 1.9× 26 0.8× 30 560
Eileen T. Nelson United States 8 348 0.5× 306 0.5× 190 0.5× 41 1.2× 23 0.7× 8 472
Frauke Rudolf Denmark 14 380 0.5× 247 0.4× 153 0.4× 43 1.3× 24 0.8× 38 489
Joseph Baruch Baluku Uganda 13 392 0.6× 317 0.6× 88 0.2× 53 1.6× 14 0.5× 91 561
Chi Hung Chau China 11 380 0.5× 336 0.6× 193 0.5× 77 2.3× 103 3.3× 26 640
Epifanio Sánchez United States 5 407 0.6× 325 0.6× 156 0.4× 18 0.5× 29 0.9× 5 474
Rosa Yataco United States 14 402 0.6× 320 0.6× 133 0.4× 12 0.4× 59 1.9× 33 511
Carlos Acuña-Villaorduña United States 12 324 0.5× 222 0.4× 130 0.3× 28 0.8× 22 0.7× 28 400

Countries citing papers authored by Amy Kerrigan

Since Specialization
Citations

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

Fields of papers citing papers by Amy Kerrigan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amy Kerrigan

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

All Works

8 of 8 papers shown
1.
Titcomb, Georgia, et al.. (2025). Differential Assembly of Core and Non‐Core Host‐Microbe Network Structures Along a Land‐Use Change Gradient. Ecology Letters. 28(11). e70255–e70255.
2.
Drake, Wonder P., Daniel A. Culver, Robert P. Baughman, et al.. (2020). Phase II Investigation of the Efficacy of Antimycobacterial Therapy in Chronic Pulmonary Sarcoidosis. CHEST Journal. 159(5). 1902–1912. 26 indexed citations
3.
Borisov, Andrey, Jussi Saukkonen, Nigel Scott, et al.. (2019). Nonparticipation reasons in a randomized international trial of a new latent tuberculosis infection regimen. Clinical Trials. 17(1). 39–51. 1 indexed citations
4.
Moro, Ruth N., Andrey Borisov, Jussi Saukkonen, et al.. (2016). Factors Associated With Noncompletion of Latent Tuberculosis Infection Treatment: Experience From the PREVENT TB Trial in the United States and Canada. Clinical Infectious Diseases. 62(11). 1390–1400. 33 indexed citations
5.
Jayakumar, Angelina, Radojka M. Savić, Debra Benator, et al.. (2016). Xpert MTB/RIF Assay Shows Faster Clearance of Mycobacterium tuberculosis DNA with Higher Levels of Rifapentine Exposure. Journal of Clinical Microbiology. 54(12). 3028–3033. 15 indexed citations
6.
Marks, Suzanne M., Harrell W. Chesson, Amy Kerrigan, et al.. (2013). Cost-effectiveness of a 12-dose regimen for treating latent tuberculous infection in the United States. The International Journal of Tuberculosis and Lung Disease. 17(12). 1531–1537. 54 indexed citations
7.
Sterling, Timothy R., Margarita E. Villarino, Andrey Borisov, et al.. (2011). Three Months of Rifapentine and Isoniazid for Latent Tuberculosis Infection. New England Journal of Medicine. 365(23). 2155–2166. 630 indexed citations breakdown →
8.
Teoh, Laurel, Amy Kerrigan, Meryta May, & P Van Asperen. (2005). Pseudo food allergy. Journal of Paediatrics and Child Health. 41(1-2). 63–64. 4 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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