Daniel C. Thomas

1.8k citations
31 papers · 1.3k · h-index 18

Impact in

Papers in

Daniel C. Thomas

29 papers receiving 1.2k citations

Peers

Daniel C. Thomas
Comparison fields: 5 of 80
  • Endocrinology, Diabetes and Metabolism 345
  • Nephrology 122
  • Oncology 225
  • Internal Medicine 27
  • Pulmonary and Respiratory Medicine 252
Replace David Scott‐Coombes with:
David Scott‐Coombes United Kingdom
Yersu Kapran Türkiye
Lloyd A. Mack Canada
Judith M. Joyce United States
Orhan Ağcaoğlu Türkiye
Beth‐Ann Shanker United States
G. McGreal Ireland
Barney Harrison United Kingdom
Anna Forsythe United States
Roel E. Reddingius Netherlands
Daniel C. Thomas relative to David Scott‐Coombes United Kingdom David Scott‐Coombes's profile →
Citations per field
00.5×5.4×
David Scott‐Coombes · 1×
Citations per year

Countries citing papers authored by Daniel C. Thomas

Since Specialization
Citations

This map shows the geographic impact of Daniel C. 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 C. 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 C. Thomas more than expected).

Fields of papers citing papers by Daniel C. Thomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008246
2 2008150
3 2017136
4 2009134
5 201683
6 201177
7 202057
8 201849
9 201136
10 201834
11 201833
12 201928
13 201624
14 201723
15 202122
16 201620
17 201820
18 201618
19 201716
20 201713

About Daniel C. Thomas

Daniel C. Thomas is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Nephrology, Surgery and Molecular Biology, having authored 31 papers that have together received 1.3k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (6 papers), Cutaneous Melanoma Detection and Management (4 papers), Parathyroid Disorders and Treatments (3 papers), Advanced Biosensing Techniques and Applications (2 papers), Thyroid and Parathyroid Surgery (2 papers), Cardiac electrophysiology and arrhythmias (1 paper), Venous Thromboembolism Diagnosis and Management (1 paper) and Cardiac, Anesthesia and Surgical Outcomes (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (345 citations), Nephrology (122 citations), Oncology (225 citations), Internal Medicine (27 citations) and Pulmonary and Respiratory Medicine (252 citations). Daniel C. Thomas has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Sanziana A. Roman, Julie Ann Sosa, Tracy Wang, Charles T. Tuggle, Leon Boudourakis, Robert Udelsman, Anthony W. Kim, Justin D. Blasberg, Frank C. Detterbeck and Brian N. Arnold. Their work appears in journals such as Surgery, Journal of Thoracic Oncology, Annals of Surgery, Journal of Surgical Research and The Annals of Thoracic 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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