Howard Peach

1.3k citations
24 papers · 873 · h-index 11

Impact in

  • Oncology top 5%
    • Cutaneous Melanoma Detection and Management
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers
    • Inflammatory Biomarkers in Disease Prognosis

Papers in

    • Cutaneous Melanoma Detection and Management 15
    • Inflammatory Biomarkers in Disease Prognosis 2
    • COVID-19 and healthcare impacts 2
    • Cutaneous lymphoproliferative disorders research 3

Howard Peach

23 papers receiving 842 citations

Peers

Howard Peach
Comparison fields: 5 of 73
  • Oncology 659
  • Dermatology 83
  • Immunology 125
  • Epidemiology 170
  • Genetics 134
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Citations per field
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Citations per year

Countries citing papers authored by Howard Peach

Since Specialization
Citations

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

Fields of papers citing papers by Howard Peach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010251
2 2010168
3 2011161
4 201948
5 201043
6 202039
7 201838
8 202028
9 202022
10 202017
11 201911
12 202010
13 201210
14 20179
15 20176
16 20142
17 20032
18 20252
19 20212
20 20081

About Howard Peach

Howard Peach is a scholar working on Oncology, Dermatology, Epidemiology, Molecular Biology and Surgery, having authored 24 papers that have together received 873 indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (15 papers), Cutaneous lymphoproliferative disorders research (3 papers), Nonmelanoma Skin Cancer Studies (3 papers), Inflammatory Biomarkers in Disease Prognosis (2 papers), Melanoma and MAPK Pathways (2 papers), COVID-19 and healthcare impacts (2 papers), Reconstructive Facial Surgery Techniques (2 papers) and Musculoskeletal synovial abnormalities and treatments (2 papers). The work is most often cited by research in Oncology (659 citations), Dermatology (83 citations), Immunology (125 citations), Epidemiology (170 citations) and Genetics (134 citations). Howard Peach has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Martin Gore, Paul Lorigan, Julia Newton‐Bishop, Martin Cook, Christy Walker, B. Powell, Paul Nathan, R.M. MACKIE, Pippa Corrie and N.H. Cox. Their work appears in journals such as Journal of Plastic Reconstructive & Aesthetic Surgery, Annals of Surgical Oncology, European Journal of Cancer, British Journal of Dermatology and Molecular Therapy.

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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