Daniel A. Thomas

1.5k citations
18 papers · 1.0k indexed · h-index 12

Impact in

Papers in

Daniel A. Thomas

18 papers receiving 993 citations

Peers

Daniel A. Thomas
Comparison fields: 5 of 101
  • Cardiology and Cardiovascular Medicine 318
  • Endocrinology, Diabetes and Metabolism 201
  • Neurology 92
  • Infectious Diseases 159
  • Molecular Biology 529
Replace U. Pleiß with:
U. Pleiß Germany
Chad Vickers United States
Soo-Ho Choi United States
Katrina J. Binger Australia
Leif Holmquist Sweden
James M. Gavin United States
Shinichiro Iida Japan
Sam Scanga Canada
Christoph Elsing Germany
Hirotaka Kawakami Japan
Daniel A. Thomas relative to U. Pleiß Germany U. Pleiß's profile →
Citations per field
00.5×9.2×
U. Pleiß · 1×
Citations per year

Countries citing papers authored by Daniel A. Thomas

Since Specialization
Citations

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

Fields of papers citing papers by Daniel A. Thomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

18 of 18 papers shown
#Work
1 20211
2 20217
3 20209
4 201921
5 201990
6 201714
7 201796
8 201217
9 201013
10 20105
11 20104
12 200914
13 200640
14 2005144
15 2004477
16 199011
17 198831
18 198725

About Daniel A. Thomas

Daniel A. Thomas is a scholar working on Dermatology, Molecular Biology, Genetics, Oncology and Organic Chemistry, having authored 18 papers that have together received 1.0k indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (4 papers), Click Chemistry and Applications (3 papers), Chronic Lymphocytic Leukemia Research (2 papers), Protein Degradation and Inhibitors (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Signaling Pathways in Disease (2 papers), Protease and Inhibitor Mechanisms (2 papers) and Advanced Thermodynamics and Statistical Mechanics (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (318 citations), Endocrinology, Diabetes and Metabolism (201 citations), Neurology (92 citations), Infectious Diseases (159 citations) and Molecular Biology (529 citations). Daniel A. Thomas has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Nigel M. Hooper, Peter J. Grant, Gillian Rice, Anthony J. Turner, Nicole T. Watt, David R. Taylor, John P. Evans, Sébastien Campos, John A. Murphy and Jacob T. Bush. Their work appears in journals such as ACS Medicinal Chemistry Letters, Journal of the American Chemical Society, Biochemical Journal, PROTEOMICS and Journal of Pediatric Surgery.

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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