KI Welsh

1.1k citations
30 papers · 954 · 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 924 citations

Peers

KI Welsh
Comparison fields: 5 of 75
  • Immunology 437
  • Pathology and Forensic Medicine 223
  • Rheumatology 109
  • Virology 35
  • Genetics 185
Replace M. Scudeletti with:
M. Scudeletti Italy
P Bird United Kingdom
Valentina Querci Italy
V. Lepage France
Roger Colobrán Spain
Sarah Q. Crome Canada
Lourdes Mozo Spain
Joshua Levy United States
L Napolitano Italy
Wahiba Chaara France
KI Welsh relative to M. Scudeletti Italy M. Scudeletti's profile →
Citations per field
00.5×2.7×
M. Scudeletti · 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 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997152
2 1995122
3
T cell receptor beta chain polymorphisms are associated with insulin-dependent diabetes.
198783
4 200177
5 199967
6 199655
7 199950
8 199445
9 199442
10 200039
11 200133
12 199732
13
Genetic susceptibility to scleroderma-like syndrome in symptomatic and asymptomatic workers exposed to vinyl chloride.
198629
14 200522
15 199717
16 199816
17 200015
18 199813
19 200111
20 201011

About KI Welsh

KI Welsh is a scholar working on Immunology, Pathology and Forensic Medicine, Epidemiology, Genetics and Surgery, having authored 30 papers that have together received 954 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 (437 citations), Pathology and Forensic Medicine (223 citations), Rheumatology (109 citations), Virology (35 citations) and Genetics (185 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, R. D. G. Leslie, David A. Pyke, Andrew Demaine and B. A. Millward. Their work appears in journals such as Genes and Immunity, Gastroenterology, Diabetologia, Journal of Dermatological Science and The Journal of Immunology.

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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