Deborah Webb

1.1k citations
15 papers · 894 · h-index 11

Impact in

    • Cell Adhesion Molecules Research
  • Immunology top 5%
    • Immune Cell Function and Interaction
    • Immune Response and Inflammation
    • T-cell and B-cell Immunology

Papers in

    • Immunodeficiency and Autoimmune Disorders 5
    • Immune Response and Inflammation 4
    • Immunotherapy and Immune Responses 3
    • T-cell and B-cell Immunology 2
    • Chronic Lymphocytic Leukemia Research 6

Deborah Webb

15 papers receiving 864 citations

Peers

Deborah Webb
Comparison fields: 5 of 75
  • Immunology and Allergy 173
  • Immunology 502
  • Virology 53
  • Oncology 290
  • Cell Biology 122
Replace Shalley K. Gupta with:
Shalley K. Gupta United States
Seong Hoe Park South Korea
Chikao Morimoto United States
Christi L. Wood United States
Deborah Hardie United Kingdom
Ricciarda Galandrini Italy
Kevin T. Merrell United States
Alain Vallé France
Lawrence W. Morrissey United States
A. Miyajima Japan
Deborah Webb relative to Shalley K. Gupta United States Shalley K. Gupta's profile →
Citations per field
00.5×3.8×
Shalley K. Gupta · 1×
Citations per year

Countries citing papers authored by Deborah Webb

Since Specialization
Citations

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

Fields of papers citing papers by Deborah Webb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 1993328
2 1990268
3 199184
4 199141
5 201838
6 201628
7 201826
8 198624
9 198720
10 198911
11 199711
12 19899
13 20204
14 20181
15 20171

About Deborah Webb

Deborah Webb is a scholar working on Immunology, Genetics, Nephrology, Virology and Radiology, Nuclear Medicine and Imaging, having authored 15 papers that have together received 894 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (6 papers), Immunodeficiency and Autoimmune Disorders (5 papers), Renal Diseases and Glomerulopathies (4 papers), Immune Response and Inflammation (4 papers), Immunotherapy and Immune Responses (3 papers), HIV Research and Treatment (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Immunology and Allergy (173 citations), Immunology (502 citations), Virology (53 citations), Oncology (290 citations) and Cell Biology (122 citations). Deborah Webb has collaborated with scholars based in United States, Thailand and Israel. Frequent co-authors include Yoji Shimizu, Stephen Shaw, Gijs A. van Seventer, T L Gerrard, Sharon Sweitzer, D S Finbloom, Gerald M. Feldman, Rebecca H. Hackett, Kenichi Igarashi and Emanuel F. Petricoin. Their work appears in journals such as Journal of Leukocyte Biology, The Journal of Immunology, Science, AIDS Research and Human Retroviruses and Clinical 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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