T. E. Cleghorn

815 citations
35 papers · 646 · h-index 16

Impact in

  • Hematology top 5%
    • Blood groups and transfusion
  • Physiology top 10%
    • Erythrocyte Function and Pathophysiology

Papers in

    • Blood groups and transfusion 19
    • Erythrocyte Function and Pathophysiology 10

T. E. Cleghorn

34 papers receiving 515 citations

Peers

T. E. Cleghorn
Comparison fields: 5 of 95
  • Hematology 300
  • Physiology 186
  • Genetics 58
  • Hepatology 36
  • Genetics 132
Replace R. Scherz with:
R. Scherz Switzerland
Phyllis Moores South Africa
Alan D. Yates United Kingdom
Sonia Baur United States
Richard E. Broadberry Taiwan
Henning Cramer Germany
Marino Celano United States
Rachel E. Brown United States
J. Kömpf Germany
E. O. Ukaejiofo United Kingdom
T. E. Cleghorn relative to R. Scherz Switzerland R. Scherz's profile →
Citations per field
00.5×
R. Scherz · 1×
Citations per year

Countries citing papers authored by T. E. Cleghorn

Since Specialization
Citations

This map shows the geographic impact of T. E. Cleghorn'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 T. E. Cleghorn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. E. Cleghorn more than expected).

Fields of papers citing papers by T. E. Cleghorn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. E. Cleghorn. 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 T. E. Cleghorn. The network helps show where T. E. Cleghorn may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 196590
2 195379
3 196660
4 196550
5 196225
6 196023
7 196721
8 197320
9 196020
10 196420
11 197220
12 196417
13 195217
14 197916
15 197716
16 196715
17 197115
18 196614
19 196214
20 195912

About T. E. Cleghorn

T. E. Cleghorn is a scholar working on Hematology, Physiology, Genetics, Surgery and Biochemistry, having authored 35 papers that have together received 646 indexed citations. Recurring topics across this work include Blood groups and transfusion (19 papers), Erythrocyte Function and Pathophysiology (10 papers), Blood transfusion and management (5 papers), Hemoglobinopathies and Related Disorders (5 papers), Neonatal Health and Biochemistry (4 papers), Hepatitis B Virus Studies (3 papers), Hepatitis C virus research (3 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Hematology (300 citations), Physiology (186 citations), Genetics (58 citations), Hepatology (36 citations) and Genetics (132 citations). T. E. Cleghorn has collaborated with scholars based in United Kingdom, Nigeria and United States. Frequent co-authors include E.B. Robson, H Harris, M. J. Meynell, William J. Weiner, ELIZABETH B. ROBSON, H. Harris, J. A. J. Barbara, Ronald G. Davidson, D. A. HOPKINSON and Moya Briggs. Their work appears in journals such as Vox Sanguinis, Annals of Human Genetics, Nature, Transfusion and The Lancet.

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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