Simon P. Booth

23 papers receiving 1k citations

Simon P. Booth's Hit Papers

Mapping the human genetic architecture of COVID-19 2021 · 656 citations
6560+1+3Years since publication200400600

Peers

Simon P. Booth
Comparison fields: 5 of 92
  • Rehabilitation 181
  • Infectious Diseases 336
  • Genetics 312
  • Bioengineering 17
  • Epidemiology 129
Replace Norma Tiraboschi Foss with:
Norma Tiraboschi Foss Brazil
Veerendra Kumar Singapore
Jôji Tada Japan
Girija R. Dhamdhere United States
Xiwen Zhao China
Michael D. Wagoner United States
Wesley P. Thayer United States
Ana Paula Fávaro Trombone Brazil
Clark F. Schierle United States
Alireza Baradaran‐Rafii Iran
Simon P. Booth relative to Norma Tiraboschi Foss Brazil Norma Tiraboschi Foss's profile →
Citations per field
00.5×5×10×14.9×
Norma Tiraboschi Foss · 1×
Citations per year

Countries citing papers authored by Simon P. Booth

Since Specialization
Citations

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

Fields of papers citing papers by Simon P. Booth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Simon P. Booth. 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 Simon P. Booth. The network helps show where Simon P. Booth may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Mapping the human genetic architecture of COVID-19
Hit paper breakdown →
2021656
2 2015126
3 201263
4 201849
5 202045
6 200939
7 200827
8 201416
9 202010
10 20259
11 20138
12 20206
13 20074
14 20174
15 20194
16 20194
17 20083
18 20062
19 20082
20 20122

About Simon P. Booth

Simon P. Booth is a scholar working on Epidemiology, Rehabilitation, Emergency Medical Services, Occupational Therapy and Statistics, Probability and Uncertainty, having authored 24 papers that have together received 1.1k indexed citations. Recurring topics across this work include Burn Injury Management and Outcomes (18 papers), Wound Healing and Treatments (6 papers), Bacterial biofilms and quorum sensing (2 papers), Delphi Technique in Research (2 papers), Biosensors and Analytical Detection (2 papers), Optical Imaging and Spectroscopy Techniques (1 paper), Occupational Health and Safety in Workplaces (1 paper) and Patient Safety and Medication Errors (1 paper). The work is most often cited by research in Rehabilitation (181 citations), Infectious Diseases (336 citations), Genetics (312 citations), Bioengineering (17 citations) and Epidemiology (129 citations). Simon P. Booth has collaborated with scholars based in United Kingdom and Uruguay. Frequent co-authors include Baljit S. Dheansa, A. Toby A. Jenkins, Thet Naing, Amber E. Young, Brian V. Jones, Jonathan Nzakizwanayo, Diana R. Alves, Jessica E. Bean, Justin R. Sharpe and Diana J. Lawrence‐Watt. Their work appears in journals such as Burns, Journal of Hospital Infection, BMJ Open, Journal of Plastic Reconstructive & Aesthetic Surgery and ACS Applied Materials & Interfaces.

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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