Pip Divall

2.2k citations
54 papers · 1.3k · 2 hit papers · h-index 14

Impact in

Papers in

Pip Divall

41 papers receiving 1.3k citations

Pip Divall's Hit Papers

The impact of ethnicity on clinical outcomes in COVID-19: A systematic review 2020 · 380 citations
3800+2+4Years since publication100200300400

Peers

Pip Divall
Comparison fields: 5 of 123
  • Modeling and Simulation 94
  • Infectious Diseases 268
  • Health 114
  • Neurology 116
  • Clinical Psychology 145
Replace Shirley Sze with:
Shirley Sze United Kingdom
Daniel Pan United Kingdom
Katherine Mackey United States
Mateusz Jankowski Poland
Francisco Tsz Tsun Lai Hong Kong
Jarosław Pinkas Poland
Xiaofang Liu China
Jiong Yang China
De-min Han China
Jianmin Jin China
Pip Divall relative to Shirley Sze United Kingdom Shirley Sze's profile →
Citations per field
00.5×
Shirley Sze · 1×
Citations per year

Countries citing papers authored by Pip Divall

Since Specialization
Citations

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

Fields of papers citing papers by Pip Divall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Ethnicity and clinical outcomes in COVID-19: A systematic review and meta-analysis
Hit paper breakdown →
2020406
2
The impact of ethnicity on clinical outcomes in COVID-19: A systematic review
Hit paper breakdown →
2020380
3 201398
4 202079
5 202356
6 201831
7 202030
8 201628
9 201926
10 202324
11 202118
12 202215
13 201714
14 202114
15 202413
16
Prevalence of vaginitis, syphilis and HIV infection in women in the Orange Free State.
199411
17 202010
18 20238
19 20236
20 20245

About Pip Divall

Pip Divall is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Orthopedics and Sports Medicine, Neurology and Epidemiology, having authored 54 papers that have together received 1.3k indexed citations. Recurring topics across this work include Orthopedic Surgery and Rehabilitation (6 papers), Shoulder Injury and Treatment (5 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (4 papers), Tendon Structure and Treatment (3 papers), Foot and Ankle Surgery (3 papers), Traumatic Brain Injury and Neurovascular Disturbances (2 papers), Hepatitis C virus research (2 papers) and Acute Ischemic Stroke Management (2 papers). The work is most often cited by research in Modeling and Simulation (94 citations), Infectious Diseases (268 citations), Health (114 citations), Neurology (116 citations) and Clinical Psychology (145 citations). Pip Divall has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Jatinder S. Minhas, Laura B Nellums, Manish Pareek, Daniel Pan, Shirley Sze, Kamlesh Khunti, Laura J. Gray, Joshua Nazareth, Christopher Martin and Clareece R. Nevill. Their work appears in journals such as EClinicalMedicine, The Bone & Joint Journal, The Foot, The American Journal of Sports Medicine and Health Information & Libraries Journal.

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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