David W. Thomas

395 papers receiving 16.4k citations

David W. Thomas's Hit Papers

Clinical development success rates for investigational drugs 2014 · 1.7k citations
1.7k0+18+36Years since publication50010001.5k

Peers

David W. Thomas
Comparison fields: 5 of 213
  • Rehabilitation 2.1k
  • Transplantation 281
  • Immunology 2.3k
  • Microbiology 587
  • Molecular Medicine 437
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Countries citing papers authored by David W. Thomas

Since Specialization
Citations

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

Fields of papers citing papers by David W. Thomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David W. Thomas, 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 David W. Thomas Line = papers co-authored together David W. Thomas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 407 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Clinical development success rates for investigational drugs
Hit paper breakdown →
20141729
2
Complete Chemical Synthesis, Assembly, and Cloning of a Mycoplasma genitalium Genome
Hit paper breakdown →
2008851
3
CTLA4-Ig and anti-CD40 ligand prevent renal allograft rejection in primates
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1997776
4
Effects of Drugs on Clinical Laboratory Tests
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1972529
5 2012377
6 2005273
7 2012229
8 2009214
9 2008212
10 1973202
11 1995195
12 2015192
13 2008174
14 2009165
15 2001162
16 1998159
17 2000158
18 2010151
19 2004150
20 2018144

About David W. Thomas

David W. Thomas is a scholar working on Molecular Biology, Immunology, Rehabilitation, Surgery and Radiology, Nuclear Medicine and Imaging, having authored 407 papers that have together received 17.4k indexed citations. Recurring topics across this work include Wound Healing and Treatments (52 papers), T-cell and B-cell Immunology (44 papers), Immunotherapy and Immune Responses (36 papers), Immune Cell Function and Interaction (34 papers), Monoclonal and Polyclonal Antibodies Research (23 papers), Antibiotic Resistance in Bacteria (17 papers), Immune Response and Inflammation (17 papers) and Antimicrobial Peptides and Activities (14 papers). The work is most often cited by research in Rehabilitation (2.1k citations), Transplantation (281 citations), Immunology (2.3k citations), Microbiology (587 citations) and Molecular Medicine (437 citations). David W. Thomas has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Katja E. Hill, Michael Hay, Jesse Rosenthal, Phil Stephens, Keith G Harding, Ethan M. Shevach, David W. Williams, Elaine L. Ferguson, D S Young and Ryan Moseley. Their work appears in journals such as The Journal of Immunology, Wound Repair and Regeneration, BDJ, British Journal of Oral and Maxillofacial Surgery and The Medical Journal of Australia.

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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