Thomas E. Hudson

3.4k citations
13 papers · 2.0k indexed · 1 hit paper · h-index 11

Thomas E. Hudson

13 papers receiving 2.0k citations

Hit Papers

Fate Tracing Reveals the Pericyte and Not Epithelial Orig...1.1k20092026201420202505007501000

Peers

Thomas E. Hudson
Comparison fields: 5 of 94
  • Nephrology 538
  • Immunology 430
  • Genetics 202
  • Molecular Biology 968
  • Pulmonary and Respiratory Medicine 367
Replace Thian Kui Tan with:
Thian Kui Tan Australia
Eliana Parente Italy
Anita B. Roberts United States
Juan I. Aróstegui Spain
Walter H.A. Kahr Canada
Meera Ramanujam United States
Alan A. Wanderer United States
Jun Mimuro Japan
Ulf Panzer Germany
DF Bainton United States
Thomas E. Hudson relative to Thian Kui Tan Australia Thian Kui Tan's profile →
Citations per field
00.5×1.5×2.3×
Thian Kui Tan · 1×
Citations per year

Countries citing papers authored by Thomas E. Hudson

Since Specialization
Citations

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

Fields of papers citing papers by Thomas E. Hudson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Thomas E. Hudson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Thomas E. Hudson Line = papers co-authored together Thomas E. Hudson links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 201870
2 201641
3 201539
4 201515
5 201464
6 201368
7 2010348
8 2010134
9 2010119
10 201018
11
Fate Tracing Reveals the Pericyte and Not Epithelial Origin of Myofibroblasts in Kidney Fibrosisbreakdown →
20091124
12
Ties that bind.
19971
13
New law on advance directives.
19911

About Thomas E. Hudson

Thomas E. Hudson is a scholar working on Immunology, Nephrology and Infectious Diseases, having authored 13 papers that have together received 2.0k indexed citations. Recurring topics across this work include Immune Response and Inflammation (5 papers), Immunotherapy and Immune Responses (3 papers), Renal and related cancers (3 papers), Immune Cell Function and Interaction (3 papers), Autophagy in Disease and Therapy (2 papers), Tuberculosis Research and Epidemiology (2 papers), Phagocytosis and Immune Regulation (2 papers) and interferon and immune responses (1 paper). The work is most often cited by research in Nephrology (538 citations), Immunology (430 citations) and Genetics (202 citations). Thomas E. Hudson has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Jeremy S. Duffield, Brian T. Nowlin, Shuei‐Liong Lin, Andrew P. McMahon, Joseph V. Bonventre, Akio Kobayashi, M. Todd Valerius, Benjamin D. Humphreys, Bing Li and Rhea N. Coler. Their work appears in journals such as The FASEB Journal, Proceedings of the National Academy of Sciences, PLoS ONE, The Journal of Immunology and Vaccine.

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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