Tom Macleod

1.3k citations
47 papers · 928 · h-index 18

Impact in

    • Dermatology and Skin Diseases
    • Skin Protection and Aging
    • Contact Dermatitis and Allergies
  • Immunology top 10%
    • Psoriasis: Treatment and Pathogenesis
    • IL-33, ST2, and ILC Pathways

Papers in

    • Skin Protection and Aging 7
    • Contact Dermatitis and Allergies 6
    • Dermatology and Skin Diseases 5
    • Psoriasis: Treatment and Pathogenesis 9
    • IL-33, ST2, and ILC Pathways 3

Tom Macleod

41 papers receiving 864 citations

Peers

Tom Macleod
Comparison fields: 5 of 98
  • Dermatology 397
  • Immunology 301
  • Immunology and Allergy 56
  • Rheumatology 127
  • Hematology 35
Replace Wiesław Gliński with:
Wiesław Gliński Poland
Gabriele Fenini Switzerland
Hiroshi Nagai Japan
Muneo Ohkido Japan
Roberta Di Caprio Italy
Jai Il Youn South Korea
Jinrong Zeng China
Tej Pratap Singh United States
Serena Lembo Italy
Shigeo Nishiyama Japan
Tom Macleod relative to Wiesław Gliński Poland Wiesław Gliński's profile →
Citations per field
00.5×10×12.7×
Wiesław Gliński · 1×
Citations per year

Countries citing papers authored by Tom Macleod

Since Specialization
Citations

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

Fields of papers citing papers by Tom Macleod

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017118
2 201681
3 202279
4 201873
5 202156
6 200146
7 202343
8 197143
9 197239
10 202335
11 197031
12 197528
13 197527
14 202225
15 197223
16 201922
17 197521
18 199618
19 200016
20 198916

About Tom Macleod

Tom Macleod is a scholar working on Dermatology, Immunology, Rheumatology, Molecular Biology and Oncology, having authored 47 papers that have together received 928 indexed citations. Recurring topics across this work include Psoriasis: Treatment and Pathogenesis (9 papers), Skin Protection and Aging (7 papers), Contact Dermatitis and Allergies (6 papers), Dermatology and Skin Diseases (5 papers), Spondyloarthritis Studies and Treatments (4 papers), IL-33, ST2, and ILC Pathways (3 papers), melanin and skin pigmentation (2 papers) and Systemic Lupus Erythematosus Research (2 papers). The work is most often cited by research in Dermatology (397 citations), Immunology (301 citations), Immunology and Allergy (56 citations), Rheumatology (127 citations) and Hematology (35 citations). Tom Macleod has collaborated with scholars based in United Kingdom, Israel and Germany. Frequent co-authors include Dennis McGonagle, Miriam Wittmann, W. FRAIN-BELL, Martin Stacey, E.J. Raffle, F Hutchinson, Charlie Bridgewood, ‬‬‬‬Abdulla Watad, Jens Malte Baron and Joseph S. Ainscough. Their work appears in journals such as British Journal of Dermatology, Frontiers in Immunology, The Lancet Rheumatology, RMD Open and Arthritis & Rheumatology.

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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