Nicholas Easom

12.5k citations
23 papers · 933 · h-index 9

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • IL-33, ST2, and ILC Pathways
  • Hepatology top 5%
    • Hepatitis C virus research

Papers in

    • Immune Cell Function and Interaction 8
    • T-cell and B-cell Immunology 4
    • Hepatitis B Virus Studies 2
    • Trypanosoma species research and implications 1

Nicholas Easom

21 papers receiving 926 citations

Peers

Nicholas Easom
Comparison fields: 5 of 70
  • Immunology 588
  • Hepatology 181
  • Epidemiology 323
  • Oncology 166
  • Applied Microbiology and Biotechnology 10
Replace Celeste Pallant with:
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Nicholas Easom relative to Celeste Pallant United Kingdom Celeste Pallant's profile →
Citations per field
00.5×3.0×
Celeste Pallant · 1×
Citations per year

Countries citing papers authored by Nicholas Easom

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas Easom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012272
2 2017257
3 2004147
4 201879
5 202044
6 201637
7 200131
8 201723
9 202013
10 20227
11 20184
12 20124
13 20213
14 20223
15 20232
16 20222
17 20211
18 20221
19 20201
20 20241

About Nicholas Easom

Nicholas Easom is a scholar working on Immunology, Epidemiology, Infectious Diseases, Oncology and Molecular Biology, having authored 23 papers that have together received 933 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (8 papers), T-cell and B-cell Immunology (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Hepatitis B Virus Studies (2 papers), COVID-19 Clinical Research Studies (2 papers), CAR-T cell therapy research (1 paper), Trypanosoma species research and implications (1 paper) and Vaccine Coverage and Hesitancy (1 paper). The work is most often cited by research in Immunology (588 citations), Hepatology (181 citations), Epidemiology (323 citations), Oncology (166 citations) and Applied Microbiology and Biotechnology (10 citations). Nicholas Easom has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include Mala K. Maini, Laura J. Pallett, Upkar S. Gill, Patrick Kennedy, Anna Schurich, Kerstin A. Stegmann, John Trowsdale, Neil T. Young, Dimitra Peppa and Brian R Davidson. Their work appears in journals such as The Journal of Immunology, Open Forum Infectious Diseases, The Journal of Experimental Medicine, Transactions of the Royal Society of Tropical Medicine and Hygiene and Seminars in Liver Disease.

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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