Hugh Chaplin

1.0k citations
46 papers · 724 · h-index 17

Impact in

  • Hematology top 2%
    • Blood groups and transfusion
    • Platelet Disorders and Treatments
    • Blood transfusion and management

Papers in

    • Blood groups and transfusion 31
    • Hemoglobinopathies and Related Disorders 12
    • Diabetes and associated disorders 4
    • Blood disorders and treatments 4
    • Chronic Lymphocytic Leukemia Research 3

Hugh Chaplin

42 papers receiving 587 citations

Peers

Hugh Chaplin
Comparison fields: 5 of 83
  • Hematology 431
  • Biochemistry 106
  • Genetics 150
  • Physiology 286
  • Management of Technology and Innovation 40
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Citations per field
00.5×
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Citations per year

Countries citing papers authored by Hugh Chaplin

Since Specialization
Citations

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

Fields of papers citing papers by Hugh Chaplin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1967120
2 195153
3 197345
4 195939
5 198138
6 196936
7 196232
8 195932
9 196227
10
Immune hemolytic anemias
198521
11 197719
12 197719
13 197419
14 196118
15 195717
16 195617
17
IgG, IgA, and IgM cold-reactive immunoglobulins in 19 patients with elevated cold agglutinins.
197316
18 196016
19 198615
20 199012

About Hugh Chaplin

Hugh Chaplin is a scholar working on Hematology, Genetics, Physiology, Genetics and Immunology, having authored 46 papers that have together received 724 indexed citations. Recurring topics across this work include Blood groups and transfusion (31 papers), Erythrocyte Function and Pathophysiology (15 papers), Hemoglobinopathies and Related Disorders (12 papers), Blood transfusion and management (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Diabetes and associated disorders (4 papers), Blood disorders and treatments (4 papers) and Chronic Lymphocytic Leukemia Research (3 papers). The work is most often cited by research in Hematology (431 citations), Biochemistry (106 citations), Genetics (150 citations), Physiology (286 citations) and Management of Technology and Innovation (40 citations). Hugh Chaplin has collaborated with scholars based in United States, Germany and Romania. Frequent co-authors include Thomas E. Brittingham, Marian W. Ropes, Lincoln D. Clark, Robert Cohen, Gordon R. Bloomberg, Charles W. Parker, Martha C. Monroe, C. Kirk Osterland, Ralph E. Peterson and Hans G. Keitel. Their work appears in journals such as Vox Sanguinis, Blood, American Journal of Clinical Pathology, Transfusion and British Journal of Haematology.

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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