Phil Lake

1.5k citations
40 papers · 1.4k · h-index 18

Impact in

  • Immunology top 2%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation
    • Monoclonal and Polyclonal Antibodies Research

Papers in

    • T-cell and B-cell Immunology 18
    • Immune Cell Function and Interaction 13
    • Immunotherapy and Immune Responses 11
    • Immune Response and Inflammation 4
    • Toxin Mechanisms and Immunotoxins 3
    • Monoclonal and Polyclonal Antibodies Research 16

Phil Lake

38 papers receiving 1.2k citations

Peers

Phil Lake
Comparison fields: 5 of 75
  • Immunology 930
  • Radiology, Nuclear Medicine and Imaging 475
  • Virology 40
  • Epidemiology 259
  • Immunology and Allergy 38
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Citations per field
00.5×1.5×1.9×
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Citations per year

Countries citing papers authored by Phil Lake

Since Specialization
Citations

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

Fields of papers citing papers by Phil Lake

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1982195
2 1979175
3 1983151
4 1982138
5 1977108
6 198260
7 199546
8 198244
9 198743
10 197841
11 198537
12 200129
13 198427
14 198221
15
The dissociation of interleukin-2 production and antigen-specific helper activity by clonal analysis.
198321
16 199520
17 197918
18 197617
19 200117
20 198315

About Phil Lake

Phil Lake is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Epidemiology and Genetics, having authored 40 papers that have together received 1.4k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (18 papers), Monoclonal and Polyclonal Antibodies Research (16 papers), Immune Cell Function and Interaction (13 papers), Immunotherapy and Immune Responses (11 papers), Influenza Virus Research Studies (4 papers), Immune Response and Inflammation (4 papers), Toxin Mechanisms and Immunotoxins (3 papers) and Liver physiology and pathology (2 papers). The work is most often cited by research in Immunology (930 citations), Radiology, Nuclear Medicine and Imaging (475 citations), Virology (40 citations), Epidemiology (259 citations) and Immunology and Allergy (38 citations). Phil Lake has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include David D. Eckels, Jonathan R. Lamb, James N. Woody, N Mitchison, Robert J. Hartzman, Edward A. Clark, Geoffrey H. Sunshine, Nicola Green, Mark Brunswick and Armead H. Johnson. Their work appears in journals such as The Journal of Immunology, Nature, European Journal of Immunology, Cold Spring Harbor Symposia on Quantitative Biology and Molecular Immunology.

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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