Thomas R. Hawn

15.5k total citations · 3 hit papers
131 papers, 9.9k citations indexed

About

Thomas R. Hawn is a scholar working on Infectious Diseases, Epidemiology and Immunology. According to data from OpenAlex, Thomas R. Hawn has authored 131 papers receiving a total of 9.9k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Infectious Diseases, 68 papers in Epidemiology and 68 papers in Immunology. Recurrent topics in Thomas R. Hawn's work include Tuberculosis Research and Epidemiology (70 papers), Immune Response and Inflammation (41 papers) and Mycobacterium research and diagnosis (40 papers). Thomas R. Hawn is often cited by papers focused on Tuberculosis Research and Epidemiology (70 papers), Immune Response and Inflammation (41 papers) and Mycobacterium research and diagnosis (40 papers). Thomas R. Hawn collaborates with scholars based in United States, South Africa and Uganda. Thomas R. Hawn's co-authors include Alan Aderem, Kelly D. Smith, Adrian Ozinsky, David M. Underhill, Fumitaka Hayashi, David R. Goodlett, Jimmy K. Eng, Eugene C. Yi, Elizabeth Ann Misch and William R. Berrington and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Thomas R. Hawn

123 papers receiving 9.7k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The innate immune response to bacterial flagellin is mediated by Toll-like receptor 5

2001 2.8k citations Fumitaka Hayashi, Kelly D. Smith et al. Nature profile →
A Common Dominant TLR5 Stop Codon Polymorphism Abolishes Flagellin Signaling and Is Associated with Susceptibility to Legionnaires' Disease

2003 467 citations Thomas R. Hawn, Annelies Verbon et al. profile →
Host Genotype-Specific Therapies Can Optimize the Inflammatory Response to Mycobacterial Infections

2012 420 citations Tran Thi Hong Chau, Thomas R. Hawn et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Thomas R. Hawn United States	47	5.3k	3.5k	3.0k	2.0k	1.1k	131	9.9k
Larry S. Schlesinger United States	59	3.6k 0.7×	3.6k 1.1×	4.3k 1.4×	3.0k 1.5×	854 0.8×	161	9.9k
Michel Huerre France	64	3.2k 0.6×	3.0k 0.9×	5.0k 1.7×	2.4k 1.2×	2.0k 1.8×	214	12.9k
Joshua Fierer United States	55	3.0k 0.6×	2.9k 0.8×	2.6k 0.8×	2.0k 1.0×	1.0k 0.9×	191	11.1k
Kelly D. Smith United States	42	7.7k 1.5×	2.1k 0.6×	1.4k 0.5×	3.4k 1.7×	830 0.8×	121	13.8k
Mathias W. Hornef Germany	53	2.7k 0.5×	1.6k 0.5×	1.9k 0.6×	3.7k 1.9×	884 0.8×	142	9.2k
Hiroshi Kiyono Japan	66	7.8k 1.5×	1.7k 0.5×	1.6k 0.5×	2.7k 1.4×	1.0k 0.9×	232	12.6k
Ralf R. Schumann Germany	50	5.6k 1.1×	2.4k 0.7×	1.2k 0.4×	2.2k 1.1×	698 0.6×	111	9.8k
Adrian Ozinsky United States	25	7.0k 1.3×	2.4k 0.7×	1.4k 0.5×	2.2k 1.1×	378 0.3×	31	10.5k
Ingo B. Autenrieth Germany	55	2.9k 0.5×	1.5k 0.4×	2.0k 0.7×	3.6k 1.8×	738 0.7×	215	10.6k
Sho Yamasaki Japan	48	5.6k 1.1×	1.9k 0.6×	2.1k 0.7×	4.2k 2.1×	786 0.7×	198	10.8k

Countries citing papers authored by Thomas R. Hawn

Since Specialization

Citations

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

Fields of papers citing papers by Thomas R. Hawn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas R. Hawn. 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 Thomas R. Hawn. The network helps show where Thomas R. Hawn may publish in the future.

Co-authorship network of co-authors of Thomas R. Hawn

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

All Works

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20 of 20 papers shown

Dill‐McFarland, Kimberly A., Glenna J. Peterson, Shawn Skerrett, et al.. (2025). Shared and distinct responses of human and murine alveolar macrophages and monocyte-derived macrophages to Mycobacterium tuberculosis. ImmunoHorizons. 9(11).

Tram, Khai Hoan, Jerry S. Zifodya, Jennifer M. Ross, et al.. (2025). Pulmonary Tuberculosis Infectiousness of Persons Identified Through Active and Passive Case-finding in a High-burden Setting. Open Forum Infectious Diseases. 12(3). ofaf077–ofaf077.

Nduba, Videlis, et al.. (2025). Association of Mycobacterium tuberculosis aerosolization and HIV coinfection in the index case with T cell responses in household contacts. Scientific Reports. 15(1). 224–224.

Nduba, Videlis, Wilfred Murithi, Glenna J. Peterson, et al.. (2024). Mycobacterium tuberculosis cough aerosol culture status associates with host characteristics and inflammatory profiles. Nature Communications. 15(1). 7604–7604. 6 indexed citations

Campo, Monica, et al.. (2024). Human Alveolar and Monocyte-Derived Human Macrophage Responses to Mycobacterium tuberculosis. The Journal of Immunology. 213(2). 161–169. 5 indexed citations

Yu, Krystle K. Q., Malisa T. Smith, Shamin Li, et al.. (2024). MR1-restricted T cell clonotypes are associated with “resistance” to Mycobacterium tuberculosis infection. JCI Insight. 9(9). 6 indexed citations

Zhao, Lue Ping, Terry P. Lybrand, Peter B. Gilbert, et al.. (2021). Tracking SARS-CoV-2 Spike Protein Mutations in the United States (January 2020—March 2021) Using a Statistical Learning Strategy. Viruses. 14(1). 9–9. 9 indexed citations

LaCourse, Sylvia M., Barbra A. Richardson, John Kinuthia, et al.. (2020). Infant TB Infection Prevention Study (iTIPS): a randomised trial protocol evaluating isoniazid to prevent M. tuberculosis infection in HIV-exposed uninfected children. BMJ Open. 10(1). e034308–e034308. 8 indexed citations

LaCourse, Sylvia M., Barbra A. Richardson, John Kinuthia, et al.. (2020). A Randomized Controlled Trial of Isoniazid to Prevent Mycobacterium tuberculosis Infection in Kenyan Human Immunodeficiency Virus–Exposed Uninfected Infants. Clinical Infectious Diseases. 73(2). e337–e344. 7 indexed citations

10.

Lu, Lenette L., Malisa T. Smith, Krystle K. Q. Yu, et al.. (2019). IFN-γ-independent immune markers of Mycobacterium tuberculosis exposure. Nature Medicine. 25(6). 977–987. 161 indexed citations

11.

Misch, Elizabeth Ann, Munyaradzi Musvosvi, Muki Shey, et al.. (2018). Toll-like receptor chaperone HSP90B1 and the immune response to Mycobacteria. PLoS ONE. 13(12). e0208940–e0208940. 19 indexed citations

12.

Hamann, Lutz, Javeed A. Shah, Annelies Verbon, et al.. (2018). The common HAQ STING variant impairs cGAS-dependent antibacterial responses and is associated with susceptibility to Legionnaires’ disease in humans. PLoS Pathogens. 14(1). e1006829–e1006829. 43 indexed citations

13.

Shah, Javeed A., Munyaradzi Musvosvi, Muki Shey, et al.. (2017). A Functional Toll-Interacting Protein Variant Is Associated with Bacillus Calmette-Guérin–Specific Immune Responses and Tuberculosis. American Journal of Respiratory and Critical Care Medicine. 196(4). 502–511. 34 indexed citations

14.

Bajema, Kristina L., Kaivon Pakzad-Vaezi, Thomas R. Hawn, & Kathryn L. Pepple. (2017). Tuberculous uveitis: association between anti-tuberculous therapy and clinical response in a non-endemic country. Journal of Ophthalmic Inflammation and Infection. 7(1). 19–19. 8 indexed citations

15.

Andrews, Jason R., Mark Hatherill, Hassan Mahomed, et al.. (2015). The Dynamics of QuantiFERON-TB Gold In-Tube Conversion and Reversion in a Cohort of South African Adolescents. American Journal of Respiratory and Critical Care Medicine. 191(5). 584–591. 94 indexed citations

16.

Witt, Ann M., et al.. (2014). Role of Oral Antibiotics in Treatment of Breastfeeding Women with Chronic Breast Pain Who Fail Conservative Therapy. Breastfeeding Medicine. 9(2). 63–72. 7 indexed citations

17.

O’Mahony, D. Shane, et al.. (2008). Differential Constitutive and Cytokine-Modulated Expression of Human Toll-like Receptors in Primary Neutrophils, Monocytes, and Macrophages. International Journal of Medical Sciences. 5(1). 1–8. 126 indexed citations

18.

Hawn, Thomas R., Elizabeth Ann Misch, Sarah J. Dunstan, et al.. (2007). A common human TLR1 polymorphism regulates the innate immune response to lipopeptides. European Journal of Immunology. 37(8). 2280–2289. 159 indexed citations

19.

Bochud, Pierre–Yves, Thomas R. Hawn, & Alan Aderem. (2003). Cutting Edge: A Toll-Like Receptor 2 Polymorphism That Is Associated with Lepromatous Leprosy Is Unable to Mediate Mycobacterial Signaling. The Journal of Immunology. 170(7). 3451–3454. 207 indexed citations

20.

Hayashi, Fumitaka, Kelly D. Smith, Adrian Ozinsky, et al.. (2001). The innate immune response to bacterial flagellin is mediated by Toll-like receptor 5. Nature. 410(6832). 1099–1103. 2793 indexed citations breakdown →

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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