Nigel Tai

81 papers receiving 2.0k citations

Peers

Nigel Tai
Comparison fields: 5 of 133
  • Critical Care and Intensive Care Medicine 420
  • Emergency Medicine 449
  • Internal Medicine 87
  • Biomaterials 260
  • Surgery 659
Replace Filip De Somer with:
Filip De Somer Belgium
Christian Probst Germany
Vinay Badhwar United States
Alfred H. Stammers United States
Gulshan K. Sethi United States
Joseph G. Murphy United States
Thomas Lustenberger Germany
Wolfgang Konertz Germany
Leonard A.R. Golding United States
Per Örtenwall Sweden
Nigel Tai relative to Filip De Somer Belgium Filip De Somer's profile →
Citations per field
00.5×3.5×
Filip De Somer · 1×
Citations per year

Countries citing papers authored by Nigel Tai

Since Specialization
Citations

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

Fields of papers citing papers by Nigel Tai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000214
2 2009126
3 201298
4 201390
5 200985
6 201983
7 200177
8 201577
9 201172
10 199965
11 201160
12 200258
13 201353
14 201238
15 201534
16 202034
17 201934
18 200634
19 200734
20 201832

About Nigel Tai

Nigel Tai is a scholar working on Emergency Medicine, Critical Care and Intensive Care Medicine, Surgery, Pulmonary and Respiratory Medicine and Artificial Intelligence, having authored 88 papers that have together received 2.1k indexed citations. Recurring topics across this work include Trauma and Emergency Care Studies (28 papers), Trauma, Hemostasis, Coagulopathy, Resuscitation (23 papers), Vascular Procedures and Complications (9 papers), Venous Thromboembolism Diagnosis and Management (6 papers), Bayesian Modeling and Causal Inference (6 papers), Trauma Management and Diagnosis (6 papers), Pelvic and Acetabular Injuries (5 papers) and Electronic Health Records Systems (4 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (420 citations), Emergency Medicine (449 citations), Internal Medicine (87 citations), Biomaterials (260 citations) and Surgery (659 citations). Nigel Tai has collaborated with scholars based in United Kingdom, United States and Türkiye. Frequent co-authors include Zane Perkins, George Hamilton, Henryk J. Salacinski, Alexander M. Seifalian, Karim Brohi, William Marsh, Todd E. Rasmussen, A. Edwards, Mark J. Midwinter and Barbaros Yet. Their work appears in journals such as British journal of surgery, The Journal of Trauma: Injury, Infection, and Critical Care, Emergency Medicine Journal, Journal of Vascular Surgery 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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