J. Bagley

593 citations
15 papers · 470 · h-index 11

Impact in

  • Virology top 5%
    • HIV Research and Treatment
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

    • T-cell and B-cell Immunology 5
    • Immune Cell Function and Interaction 5
    • Immunotherapy and Immune Responses 2
    • Atherosclerosis and Cardiovascular Diseases 2
    • Fungal and yeast genetics research 2
    • Glycosylation and Glycoproteins Research 1

J. Bagley

15 papers receiving 464 citations

Peers

J. Bagley
Comparison fields: 5 of 61
  • Virology 94
  • Immunology 145
  • Radiology, Nuclear Medicine and Imaging 145
  • Transplantation 13
  • Immunology and Allergy 18
Replace R Khiroya with:
R Khiroya United States
Robert W. Knowles United States
Eszter Csomor United Kingdom
Katherine Bourne Australia
Georg Malcherek Germany
A M Kruisbeek United States
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David W. Dongworth United Kingdom
Sue Fairchild United Kingdom
L D Barber United States
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Citations per field
00.5×10×16×
R Khiroya · 1×
Citations per year

Countries citing papers authored by J. Bagley

Since Specialization
Citations

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

Fields of papers citing papers by J. Bagley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside J. Bagley, 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 J. Bagley Line = papers co-authored together J. Bagley links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 1995144
2 199456
3 199244
4 201536
5 200333
6 201529
7 200528
8 202325
9 201522
10 200618
11 200716
12 201210
13 19814
14 19844
15 20231

About J. Bagley

J. Bagley is a scholar working on Immunology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Hematology and Surgery, having authored 15 papers that have together received 470 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (5 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Fungal and yeast genetics research (2 papers), Immunotherapy and Immune Responses (2 papers), Atherosclerosis and Cardiovascular Diseases (2 papers), HIV Research and Treatment (2 papers) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Virology (94 citations), Immunology (145 citations), Radiology, Nuclear Medicine and Imaging (145 citations), Transplantation (13 citations) and Immunology and Allergy (18 citations). J. Bagley has collaborated with scholars based in United States, Canada and Denmark. Frequent co-authors include John Iacomini, Wayne A. Marasco, Abner M. Mhashilkar, Anne Marie Szilvay, Chaorui Tian, Jing Yuan, Christopher J. Benway, W A Haseltine, Marshall R. Posner and Joseph Sodroski. Their work appears in journals such as American Journal of Transplantation, Gene Therapy, Nature Communications, Thrombosis Research and Journal of Clinical Investigation.

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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