David Barnett

5.7k citations
134 papers · 4.3k indexed · h-index 38

Impact in

  • Virology top 1%
    • HIV Research and Treatment
  • Hematology top 0.5%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research

Papers in

    • HIV Research and Treatment 20
    • Blood groups and transfusion 16
    • Hematopoietic Stem Cell Transplantation 9

David Barnett

132 papers receiving 4.1k citations

Peers

David Barnett
Comparison fields: 5 of 160
  • Virology 517
  • Hematology 1.2k
  • Immunology 941
  • Genetics 418
  • Transplantation 74
Replace Angélique Biancotto with:
Angélique Biancotto United States
Hong Zhang China
Hui Zhang China
Kenneth A. Ault United States
Marc E. Weksler United States
Vinod K. Rustgi United States
Dongliang Ge United States
Manoj Bhasin United States
Flemming Pociot Denmark
Marta Di Nicola Italy
David Barnett relative to Angélique Biancotto United States Angélique Biancotto's profile →
Citations per field
00.5×1.5×2.1×
Angélique Biancotto · 1×
Citations per year

Countries citing papers authored by David Barnett

Since Specialization
Citations

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

Fields of papers citing papers by David Barnett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201525
2 201444
3 201345
4 20098
5 200973
6 20083
7 200725
8 200742
9 200416
10 200425
11 200239
12 200242
13 200073
14 2000194
15 199944
16 199827
17 199674
18 199649
19 199439
20 19739

About David Barnett

David Barnett is a scholar working on Virology, Hematology, Immunology, Genetics and Transplantation, having authored 134 papers that have together received 4.3k indexed citations. Recurring topics across this work include HIV Research and Treatment (20 papers), Single-cell and spatial transcriptomics (19 papers), Blood groups and transfusion (16 papers), Receptor Mechanisms and Signaling (15 papers), Immune Cell Function and Interaction (11 papers), Cytomegalovirus and herpesvirus research (11 papers), T-cell and B-cell Immunology (10 papers) and Hematopoietic Stem Cell Transplantation (9 papers). The work is most often cited by research in Virology (517 citations), Hematology (1.2k citations), Immunology (941 citations), Genetics (418 citations) and Transplantation (74 citations). David Barnett has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Stefan R. Nahorski, John T. Reilly, Liam Whitby, E.L. Rugg, George Janossy, V. Granger, Stefano Papa, J.W. Gratama, Michael Keeney and Teri Oldaker. Their work appears in journals such as Cytometry Part B Clinical Cytometry, Cytometry, British Journal of Haematology, European Journal of Pharmacology and The Lancet Oncology.

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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