Edward Barker

3.7k citations
58 papers · 2.9k · h-index 30

Impact in

  • Virology top 0.2%
    • HIV Research and Treatment
  • Immunology top 1%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Reproductive System and Pregnancy
    • Immunotherapy and Immune Responses

Papers in

    • Immune Cell Function and Interaction 36
    • T-cell and B-cell Immunology 11
    • IL-33, ST2, and ILC Pathways 7
    • Reproductive System and Pregnancy 4
    • HIV Research and Treatment 28

Edward Barker

58 papers receiving 2.8k citations

Peers

Edward Barker
Comparison fields: 5 of 99
  • Virology 1.4k
  • Immunology 1.8k
  • Infectious Diseases 385
  • Epidemiology 493
  • Neurology 138
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Citations per field
00.5×2.6×
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Citations per year

Countries citing papers authored by Edward Barker

Since Specialization
Citations

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

Fields of papers citing papers by Edward Barker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996353
2 2007153
3 2010145
4
Effect of a chimeric anti-ganglioside GD2 antibody on cell-mediated lysis of human neuroblastoma cells.
1991135
5 2004120
6 2009118
7 1995112
8 1994110
9 1998100
10 200898
11 201696
12 199670
13
A mechanism for neutrophil-mediated lysis of human neuroblastoma cells.
199367
14 200765
15 199763
16 200362
17 201660
18 201956
19 200455
20 199753

About Edward Barker

Edward Barker is a scholar working on Immunology, Virology, Infectious Diseases, Epidemiology and Surgery, having authored 58 papers that have together received 2.9k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (36 papers), HIV Research and Treatment (28 papers), T-cell and B-cell Immunology (11 papers), IL-33, ST2, and ILC Pathways (7 papers), Cytomegalovirus and herpesvirus research (6 papers), HIV/AIDS Research and Interventions (5 papers), HIV/AIDS drug development and treatment (4 papers) and Reproductive System and Pregnancy (4 papers). The work is most often cited by research in Virology (1.4k citations), Immunology (1.8k citations), Infectious Diseases (385 citations), Epidemiology (493 citations) and Neurology (138 citations). Edward Barker has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Carl E. Mackewicz, Matthew Bonaparte, Jay A. Levy, Jay A. Levy, Jeffrey P. Ward, Vicente Planelles, Ralph A. Reisfeld, Zachary Davis, Domenico Mavilio and Katharine N. Bossart. Their work appears in journals such as Blood, Cancer Immunology Immunotherapy, PLoS Pathogens, AIDS Research and Human Retroviruses and The Journal of 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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