KI Welsh

1.1k citations
29 papers · 899 · h-index 16

Impact in

  • Immunology top 5%
    • T-cell and B-cell Immunology
    • Immunodeficiency and Autoimmune Disorders
    • Immune Cell Function and Interaction
    • Systemic Sclerosis and Related Diseases
    • Autoimmune Bullous Skin Diseases

Papers in

KI Welsh

29 papers receiving 880 citations

Peers

KI Welsh
Comparison fields: 5 of 71
  • Immunology 411
  • Pathology and Forensic Medicine 202
  • Virology 35
  • Rheumatology 102
  • Gastroenterology 33
Replace V. Lepage with:
V. Lepage France
Valentina Querci Italy
P Bird United Kingdom
Roger Colobrán Spain
L Napolitano Italy
M. J. Giphart Netherlands
Piotr Kuśnierczyk Poland
Zdenka Fronek United States
Milvia Casato Italy
E. D. Albert Germany
KI Welsh relative to V. Lepage France V. Lepage's profile →
Citations per field
00.5×4.0×
V. Lepage · 1×
Citations per year

Countries citing papers authored by KI Welsh

Since Specialization
Citations

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

Fields of papers citing papers by KI Welsh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997147
2 1995118
3
T cell receptor beta chain polymorphisms are associated with insulin-dependent diabetes.
198781
4 200164
5 199964
6 199654
7 199945
8 199444
9 199438
10 200038
11 200133
12 199731
13
Genetic susceptibility to scleroderma-like syndrome in symptomatic and asymptomatic workers exposed to vinyl chloride.
198629
14 200518
15 199717
16 199815
17 199812
18 200011
19 200110
20 201010

About KI Welsh

KI Welsh is a scholar working on Immunology, Pathology and Forensic Medicine, Epidemiology, Genetics and Surgery, having authored 29 papers that have together received 899 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (8 papers), Diabetes and associated disorders (5 papers), Autoimmune Bullous Skin Diseases (4 papers), Immune Cell Function and Interaction (4 papers), Systemic Sclerosis and Related Diseases (4 papers), Microscopic Colitis (3 papers), Inflammatory Bowel Disease (3 papers) and Diabetes Management and Research (2 papers). The work is most often cited by research in Immunology (411 citations), Pathology and Forensic Medicine (202 citations), Virology (35 citations), Rheumatology (102 citations) and Gastroenterology (33 citations). KI Welsh has collaborated with scholars based in United Kingdom, United States and Russia. Frequent co-authors include Charles G. Mullighan, M. Bunce, H Chapel, SE Marshall, Carol M. Artlett, David Briggs, Andrew Demaine, David A. Pyke, R. D. G. Leslie and B. A. Millward. Their work appears in journals such as Genes and Immunity, Gastroenterology, Diabetologia, British Journal of Dermatology and Journal of Dermatological Science.

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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