David G. Watt

1.7k citations
21 papers · 1.2k indexed · h-index 14
Topics
Inflammatory Biomarkers in Disease Prognosis (9 papers)Cardiac, Anesthesia and Surgical Outcomes (6 papers)Cancer, Lipids, and Metabolism (5 papers)

In The Last Decade

David G. Watt

21 papers receiving 1.2k citations

Peers

David G. Watt
Comparison fields: 5 of 107
  • Oncology 560
  • Surgery 455
  • Cardiology and Cardiovascular Medicine 242
  • Pulmonary and Respiratory Medicine 207
  • Epidemiology 154
Replace Panagiotis Kitsoulis with:
Panagiotis Kitsoulis Greece
Stephen J. Golding United Kingdom
Wesley Hsu United States
Bülent Yalçın Türkiye
Shinsuke Okada Japan
Giovanna Cuomo Italy
P Rouleau United States
Dale H. Brown Canada
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David G. Watt relative to Panagiotis Kitsoulis Greece Panagiotis Kitsoulis's profile →
Citations per field
00.5×7.3×
Panagiotis Kitsoulis · 1×
Citations per year

Countries citing papers authored by David G. Watt

Since Specialization
Citations

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

Fields of papers citing papers by David G. Watt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David G. Watt

This figure shows the co-authorship network connecting the top 25 collaborators of David G. Watt. A scholar is included among the top collaborators of David G. Watt 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 David G. Watt. David G. Watt 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
1 112
2 12
3 100
4 56
5 1
6 5
7 257
8 96
9 36
10 157
11 68
12 60
13 34
14 5
15 26
16 13
17 6
18 13
19
Doppler detection of thresholds for decompression-induced venous gas emboli in the awake rat.
6
20 158

About David G. Watt

David G. Watt is a scholar working on Emergency Medicine, Oncology and Cancer Research, having authored 21 papers that have together received 1.2k indexed citations. Recurring topics across this work include Inflammatory Biomarkers in Disease Prognosis (9 papers), Cardiac, Anesthesia and Surgical Outcomes (6 papers) and Cancer, Lipids, and Metabolism (5 papers). The work is most often cited by research in Complementary and Manual Therapy (58 citations), Oncology (560 citations) and Orthodontics (53 citations). David G. Watt has collaborated with scholars based in United Kingdom, United States and Israel. Frequent co-authors include Donald C. McMillan, Paul G. Horgan, James H. Park, Stephen T. McSorley, Campbell S.D. Roxburgh, Greg J. Evans, Laura J. Balcer, Steven Galetta, Danielle Leong and Ross D. Dolan. Their work appears in journals such as Journal of Clinical Oncology, PLoS ONE and Annals of 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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