Nick Dand

3.2k citations
28 papers · 638 · h-index 11

Impact in

    • Dermatology and Skin Diseases
    • Dermatologic Treatments and Research
  • Immunology top 10%
    • Psoriasis: Treatment and Pathogenesis

Papers in

    • Psoriasis: Treatment and Pathogenesis 13
    • Genomics and Rare Diseases 3
    • Genetic Associations and Epidemiology 3
    • Digestive system and related health 2

Nick Dand

25 papers receiving 632 citations

Peers

Nick Dand
Comparison fields: 5 of 85
  • Dermatology 222
  • Immunology 384
  • Biological Psychiatry 21
  • Drug Discovery 1
  • Rheumatology 72
Replace Tianshuang Wu with:
Tianshuang Wu United States
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Yasumasa Kanai Japan
Nilgün Akdeniz Türkiye
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Citations per field
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Citations per year

Countries citing papers authored by Nick Dand

Since Specialization
Citations

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

Fields of papers citing papers by Nick Dand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017124
2 2020110
3 2019101
4 201962
5 201851
6 201740
7 202333
8 202230
9 202120
10 202315
11 202415
12 20217
13 20135
14 20155
15 20244
16 20233
17 20183
18 20252
19 20232
20 20231

About Nick Dand

Nick Dand is a scholar working on Immunology, Genetics, Molecular Biology, Dermatology and Rheumatology, having authored 28 papers that have together received 638 indexed citations. Recurring topics across this work include Psoriasis: Treatment and Pathogenesis (13 papers), Bioinformatics and Genomic Networks (4 papers), Dermatology and Skin Diseases (4 papers), Asthma and respiratory diseases (4 papers), Genomics and Rare Diseases (3 papers), Genetic Associations and Epidemiology (3 papers), Digestive system and related health (2 papers) and Hair Growth and Disorders (2 papers). The work is most often cited by research in Dermatology (222 citations), Immunology (384 citations), Biological Psychiatry (21 citations), Drug Discovery (1 citation) and Rheumatology (72 citations). Nick Dand has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Catherine Smith, Satveer K. Mahil, Francesca Capon, Juliet N. Barker, Michael A. Simpson, Richard B. Warren, C.E.M. Griffiths, Richard C. Trembath, Nick J. Reynolds and Deborah Stocken. Their work appears in journals such as Journal of Investigative Dermatology, British Journal of Dermatology, Clinical and Experimental Dermatology, JAMA Dermatology and Annals of the Rheumatic Diseases.

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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