E. Fred Saunders

1.7k citations
54 papers · 1.3k · h-index 20

Impact in

  • Hematology top 2%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
  • Genetics top 5%
    • Blood disorders and treatments

Papers in

E. Fred Saunders

52 papers receiving 1.2k citations

Peers

E. Fred Saunders
Comparison fields: 5 of 91
  • Hematology 540
  • Genetics 222
  • Physiology 372
  • Transplantation 35
  • Public Health, Environmental and Occupational Health 274
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Nasrollah T. Shahidi United States
Yoshiyuki Ohtomo Japan
Shifra Ash Israel
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İdil Yenicesu Türkiye
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Citations per field
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Citations per year

Countries citing papers authored by E. Fred Saunders

Since Specialization
Citations

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

Fields of papers citing papers by E. Fred Saunders

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998250
2 196795
3 199279
4 197671
5 196951
6 196946
7 199143
8 199941
9 200040
10 197434
11 200233
12 198331
13 198130
14 198229
15 199028
16 198227
17 199625
18 197824
19 199822
20 200320

About E. Fred Saunders

E. Fred Saunders is a scholar working on Hematology, Public Health, Environmental and Occupational Health, Genetics, Pediatrics, Perinatology and Child Health and Oncology, having authored 54 papers that have together received 1.3k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (15 papers), Acute Lymphoblastic Leukemia research (13 papers), Childhood Cancer Survivors' Quality of Life (6 papers), Acute Myeloid Leukemia Research (5 papers), Erythrocyte Function and Pathophysiology (5 papers), Polyomavirus and related diseases (5 papers), RNA modifications and cancer (5 papers) and Cancer-related gene regulation (5 papers). The work is most often cited by research in Hematology (540 citations), Genetics (222 citations), Physiology (372 citations), Transplantation (35 citations) and Public Health, Environmental and Occupational Health (274 citations). E. Fred Saunders has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Melvin H. Freedman, Alvin M. Mauer, Beatrice C. Lampkin, M. H. Freedman, Helen S. L. Chan, MH Freedman, Dante Amato, John Doyle, Gideon Koren and Ian Thornley. Their work appears in journals such as British Journal of Haematology, Bone Marrow Transplantation, Pediatric Research, The Journal of Pediatrics and Journal of Pediatric Hematology/Oncology.

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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