Nigel Sharfe

2.3k citations
34 papers · 1.7k · h-index 19

Impact in

Papers in

    • Immunodeficiency and Autoimmune Disorders 15
    • Immune Cell Function and Interaction 10
    • T-cell and B-cell Immunology 8
    • Angiogenesis and VEGF in Cancer 3
    • Ubiquitin and proteasome pathways 2

Nigel Sharfe

32 papers receiving 1.7k citations

Peers

Nigel Sharfe
Comparison fields: 5 of 77
  • Immunology 885
  • Cellular and Molecular Neuroscience 373
  • Genetics 307
  • Cell Biology 164
  • Oncology 252
Replace Fanping Wang with:
Fanping Wang China
Konstantina Alexandropoulos United States
Takahisa Hachiya Japan
A.‐C. Andres Switzerland
Jasper de Boer United Kingdom
Marita J. Walmsley United Kingdom
H. Daniel Lacorazza United States
Johnson M. Liu United States
Petra Vollmer Germany
Sandro Goruppi United States
Nigel Sharfe relative to Fanping Wang China Fanping Wang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Nigel Sharfe

Since Specialization
Citations

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

Fields of papers citing papers by Nigel Sharfe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999315
2 1997293
3 2000123
4 200291
5 200286
6 199775
7 201073
8 201766
9 199565
10 200364
11 201563
12 200762
13 201361
14 200353
15 201035
16 200631
17 199725
18 201724
19 201519
20 199716

About Nigel Sharfe

Nigel Sharfe is a scholar working on Immunology, Molecular Biology, Cellular and Molecular Neuroscience, Oncology and Cancer Research, having authored 34 papers that have together received 1.7k indexed citations. Recurring topics across this work include Immunodeficiency and Autoimmune Disorders (15 papers), Immune Cell Function and Interaction (10 papers), T-cell and B-cell Immunology (8 papers), Axon Guidance and Neuronal Signaling (6 papers), NF-κB Signaling Pathways (5 papers), Angiogenesis and VEGF in Cancer (3 papers), Cytokine Signaling Pathways and Interactions (3 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Immunology (885 citations), Cellular and Molecular Neuroscience (373 citations), Genetics (307 citations), Cell Biology (164 citations) and Oncology (252 citations). Nigel Sharfe has collaborated with scholars based in Canada, United States and Israel. Frequent co-authors include Chaim M. Roifman, Harjit Dadi, Andrew Freywald, Michal Shahar, Shai Cohen, David Chitayat, Ana Isabel Toro-Montoya, Junyan Zhang, Jo-Anne Herbrick and Daniele Merico. Their work appears in journals such as Blood, Journal of Allergy and Clinical Immunology, The Journal of Immunology, npj Genomic Medicine and Journal of Biological Chemistry.

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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