H. E. M. Kay

5.6k citations
86 papers · 4.0k · h-index 31

Impact in

  • Hematology top 0.5%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
  • Genetics top 1%
    • Chronic Lymphocytic Leukemia Research

Papers in

H. E. M. Kay

83 papers receiving 3.4k citations

Peers

H. E. M. Kay
Comparison fields: 5 of 133
  • Hematology 1.6k
  • Genetics 707
  • Transplantation 157
  • Immunology 1.1k
  • Public Health, Environmental and Occupational Health 838
Replace E. Donnall Thomas with:
E. Donnall Thomas United States
Alexander Fefer United States
Good Ra United States
Jaak M. Vossen Netherlands
R Miniero Italy
Hans A. Messner Canada
A Oakhill United Kingdom
Wilma Β. Bias United States
Morton J. Cowan United States
Martin Stern Switzerland
H. E. M. Kay relative to E. Donnall Thomas United States E. Donnall Thomas's profile →
Citations per field
00.5×1.5×2.1×
E. Donnall Thomas · 1×
Citations per year

Countries citing papers authored by H. E. M. Kay

Since Specialization
Citations

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

Fields of papers citing papers by H. E. M. Kay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H. E. M. Kay. 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 H. E. M. Kay. The network helps show where H. E. M. Kay may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1980316
2 1987274
3 1968237
4 1981233
5 1983196
6 1972194
7 1968176
8 1978159
9 1980150
10 1980133
11 1979132
12 1968131
13 196998
14 197378
15 196678
16 197874
17 197070
18 197870
19 196963
20 196563

About H. E. M. Kay

H. E. M. Kay is a scholar working on Hematology, Public Health, Environmental and Occupational Health, Oncology, Genetics and Immunology, having authored 86 papers that have together received 4.0k indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (21 papers), Acute Myeloid Leukemia Research (13 papers), Hematopoietic Stem Cell Transplantation (11 papers), Neutropenia and Cancer Infections (11 papers), Immunodeficiency and Autoimmune Disorders (9 papers), Blood groups and transfusion (6 papers), Chronic Lymphocytic Leukemia Research (6 papers) and Chronic Myeloid Leukemia Treatments (5 papers). The work is most often cited by research in Hematology (1.6k citations), Genetics (707 citations), Transplantation (157 citations), Immunology (1.1k citations) and Public Health, Environmental and Occupational Health (838 citations). H. E. M. Kay has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Beryl Jameson, T J McElwain, R Powles, Melvyn F. Greaves, H.M. Clink, G Jánossy, Julian Peto, J.G. Watson, G.R. Morgenstern and Sylvia D. Lawler. Their work appears in journals such as The Lancet, British Journal of Haematology, Journal of Clinical Pathology, Archives of Disease in Childhood and Cancer.

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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