ED Thomas

1.1k citations
28 papers · 916 · h-index 14

Impact in

  • Hematology top 1%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments
  • Genetics top 5%

Papers in

    • Hematopoietic Stem Cell Transplantation 18
    • Chronic Myeloid Leukemia Treatments 6
    • Polyomavirus and related diseases 5
    • Neutropenia and Cancer Infections 4

ED Thomas

27 papers receiving 790 citations

Peers

ED Thomas
Comparison fields: 5 of 62
  • Hematology 668
  • Genetics 151
  • Immunology 234
  • Oncology 182
  • Public Health, Environmental and Occupational Health 163
Replace R Storb with:
R Storb United States
J M Vossen Netherlands
M Dardenne Netherlands
M Gyger Canada
NK Ramsay United States
Jean I. Bryant United States
A Iriondo Spain
G. W. Santos United States
H. Lumley United Kingdom
P Ernst Italy
ED Thomas relative to R Storb United States R Storb's profile →
Citations per field
00.5×1.5×
R Storb · 1×
Citations per year

Countries citing papers authored by ED Thomas

Since Specialization
Citations

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

Fields of papers citing papers by ED Thomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1979168
2 1982160
3 199171
4 198168
5 199152
6 197947
7 198146
8 197943
9 198841
10 198341
11 198336
12 198826
13 198818
14 199416
15 197613
16 200412
17 198810
18 198910
19 198810
20 19909

About ED Thomas

ED Thomas is a scholar working on Hematology, Oncology, Genetics, Public Health, Environmental and Occupational Health and Pulmonary and Respiratory Medicine, having authored 28 papers that have together received 916 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (18 papers), Chronic Myeloid Leukemia Treatments (6 papers), Polyomavirus and related diseases (5 papers), Acute Lymphoblastic Leukemia research (5 papers), Mesenchymal stem cell research (5 papers), Neutropenia and Cancer Infections (4 papers), Blood transfusion and management (2 papers) and Kruppel-like factors research (2 papers). The work is most often cited by research in Hematology (668 citations), Genetics (151 citations), Immunology (234 citations), Oncology (182 citations) and Public Health, Environmental and Occupational Health (163 citations). ED Thomas has collaborated with scholars based in United States and South Africa. Frequent co-authors include Rainer Storb, JE Sanders, K Atkinson, PL Weiden, A Fefer, CD Buckner, JA Hansen, Sondra Goehle, Gideon Goldstein and F L Johnson. Their work appears in journals such as Blood, American Journal of Roentgenology, Educational leadership, Western Journal of Applied Forestry and Forest Products Journal.

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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