Thomas R. Hawn

15.5k citations
131 papers · 9.9k indexed · 3 hit papers · h-index 47
Topics
Tuberculosis Research and Epidemiology (70 papers)Immune Response and Inflammation (41 papers)Mycobacterium research and diagnosis (40 papers)

In The Last Decade

Thomas R. Hawn

123 papers receiving 9.7k citations

Hit Papers

The innate immune response to bacterial flagellin is medi...200120262009201720012003201250010001.5k2.0k2.5k

Peers

Thomas R. Hawn
Comparison fields: 5 of 146
  • Immunology 5.3k
  • Epidemiology 3.5k
  • Infectious Diseases 3.0k
  • Molecular Biology 2.0k
  • Surgery 1.1k
Replace Kelly D. Smith with:
Kelly D. Smith United States
Mathias W. Hornef Germany
Charles O. Elson United States
Mathias Chamaillard France
William W. Agace Sweden
Joshua Fierer United States
Adrian Ozinsky United States
Edward A. Miao United States
Yasunori Ogura United States
Stefan Hippenstiel Germany
Thomas R. Hawn relative to Kelly D. Smith United States Kelly D. Smith's profile →
Citations per field
00.5×1.5×2.1×
Kelly D. Smith · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 6
5 6
6 9
7 7
8 8
9 43
10 19
11 8
12 34
13 50
14 9
15 94
16 7
17 126
18 159
19 154
20 207

About Thomas R. Hawn

Thomas R. Hawn is a scholar working on Infectious Diseases, Immunology and Endocrinology, having authored 131 papers that have together received 9.9k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (70 papers), Immune Response and Inflammation (41 papers) and Mycobacterium research and diagnosis (40 papers). The work is most often cited by research in Immunology (5.3k citations), Endocrinology (846 citations) and Infectious Diseases (3.0k citations). Thomas R. Hawn has collaborated with scholars based in United States, South Africa and Uganda. Frequent co-authors include Alan Aderem, Kelly D. Smith, Adrian Ozinsky, David M. Underhill, Eugene C. Yi, Fumitaka Hayashi, David R. Goodlett, Jimmy K. Eng, Elizabeth Ann Misch and William R. Berrington. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

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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