Stephen Watt

46 papers receiving 920 citations

Peers

Stephen Watt
Comparison fields: 5 of 144
  • Internal Medicine 39
  • Pharmacology 142
  • Radiological and Ultrasound Technology 35
  • Anesthesiology and Pain Medicine 34
  • Spectroscopy 90
Replace Neil Piller with:
Neil Piller Australia
Michael Barker Germany
Marc Lefebvre France
Min Jung Kim South Korea
Xiaoyan Deng China
Akiko Harada Japan
Tadashi Aoki Japan
Michael J. McCabe United States
Mark McAllister United Kingdom
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Countries citing papers authored by Stephen Watt

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Watt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200698
2 201667
3 201666
4 200964
5 200762
6 200559
7 200650
8 200543
9 199341
10 200638
11 201634
12 200528
13 201526
14 199424
15 198523
16 200620
17 198920
18 200418
19 200718
20 200717

About Stephen Watt

Stephen Watt is a scholar working on Molecular Biology, Pharmacology, Physiology, Pulmonary and Respiratory Medicine and Public Health, Environmental and Occupational Health, having authored 48 papers that have together received 953 indexed citations. Recurring topics across this work include Cardiovascular and Diving-Related Complications (6 papers), Mass Spectrometry Techniques and Applications (6 papers), Pain Mechanisms and Treatments (4 papers), Musculoskeletal pain and rehabilitation (4 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers), Pharmaceutical industry and healthcare (3 papers), Analytical Chemistry and Chromatography (2 papers) and Botulinum Toxin and Related Neurological Disorders (2 papers). The work is most often cited by research in Internal Medicine (39 citations), Pharmacology (142 citations), Radiological and Ultrasound Technology (35 citations), Anesthesiology and Pain Medicine (34 citations) and Spectroscopy (90 citations). Stephen Watt has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Jennifer L. Beck, John Ross, J. Andrew Aquilina, Nicholas E. Dixon, Colin J. Jackson, Gottfried Otting, Margaret M. Sheil, Benedikt M. Kessler, Frank Sobott and Holger Kramer. Their work appears in journals such as Rapid Communications in Mass Spectrometry, Occupational Medicine, Journal of the American Society for Mass Spectrometry, Journal of Molecular Biology and The Journal of Antibiotics.

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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