David Franks

1.1k citations
45 papers · 950 · h-index 18

Impact in

Papers in

    • T-cell and B-cell Immunology 14
    • Immune Cell Function and Interaction 5
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 3
    • Blood groups and transfusion 15

David Franks

39 papers receiving 711 citations

Peers

David Franks
Comparison fields: 5 of 65
  • Parasitology 156
  • Immunology 250
  • Small Animals 107
  • Transplantation 36
  • Hematology 119
Replace Colin R.A. Hewitt with:
Colin R.A. Hewitt United Kingdom
Makoto Owhashi Japan
Hugo G. Hilton United States
Andrew T. Hutchinson Australia
Pierre Querinjean Belgium
Rose Lieberman United States
Gundula Min‐Oo Canada
Klaus Pechhold Germany
W. Okazaki United States
Katherine J. Guild United States
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Citations per field
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Colin R.A. Hewitt · 1×
Citations per year

Countries citing papers authored by David Franks

Since Specialization
Citations

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

Fields of papers citing papers by David Franks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1977165
2 197788
3
In vitro effect of immune serum and bovine granulocytes on juvenile Fasciola hepatica.
198066
4 196857
5 197637
6 197636
7 196834
8 198134
9 197932
10 196631
11 196830
12 197328
13 196827
14 196222
15
Role of hydrogen peroxide in the cytotoxic reaction of T lymphocytes.
198021
16 197719
17 197819
18 196218
19 196618
20 196416

About David Franks

David Franks is a scholar working on Immunology, Hematology, Radiology, Nuclear Medicine and Imaging, Parasitology and Molecular Biology, having authored 45 papers that have together received 950 indexed citations. Recurring topics across this work include Blood groups and transfusion (15 papers), T-cell and B-cell Immunology (14 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Glycosylation and Glycoproteins Research (6 papers), Immune Cell Function and Interaction (5 papers), Trypanosoma species research and implications (4 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers) and Redox biology and oxidative stress (3 papers). The work is most often cited by research in Parasitology (156 citations), Immunology (250 citations), Small Animals (107 citations), Transplantation (36 citations) and Hematology (119 citations). David Franks has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include W. P. H. Duffus, Anthony E. Butterworth, Vaclav Houba, ROBERT F. STURROCK, Peter H. David, John R. David, K J Thorne, BENJAMIN A. BRADLEY, A A Mahmoud and B.W. Gurner. Their work appears in journals such as Experimental Cell Research, Parasitology, Vox Sanguinis, Nature and Journal of Cell Science.

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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