J. E. Curtis

1.4k citations
38 papers · 1.1k indexed · h-index 18

J. E. Curtis

37 papers receiving 958 citations

Peers

J. E. Curtis
Comparison fields: 5 of 101
  • Hematology 465
  • Genetics 259
  • Immunology 180
  • Oncology 231
  • Pathology and Forensic Medicine 103
Replace Kimikazu Yakushijin with:
Kimikazu Yakushijin Japan
P Fessas Greece
T. K. Chan China
Hsiu‐Hao Chang Taiwan
Carmem Bonfim Brazil
J.F. Seymour Australia
G. Bennett Humphrey United States
Isabel Badell Spain
Kimo C. Stine United States
Thomas Kiss Canada
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Citations per field
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Kimikazu Yakushijin · 1×
Citations per year

Countries citing papers authored by J. E. Curtis

Since Specialization
Citations

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

Fields of papers citing papers by J. E. Curtis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202113
2 20193
3 20182
4 201623
5 20167
6 20081
7 20001
8 19968
9 19963
10 199457
11 199073
12
The influence of growth regulation on treatment strategy for acute myeloblastic leukaemia.
19907
13
Complications associated with Ommaya reservoirs in patients with cancer. The Princess Margaret Hospital experience and a review of the literature.
199086
14 19892
15 198821
16 198437
17
Bone marrow transplantation for leukemia and aplastic anemia: management of ABO incompatibility.
198222
18 197936
19 19767
20
The human secondary immune response to Keyhole limpet haemocyanin.
197230

About J. E. Curtis

J. E. Curtis is a scholar working on Hematology, Genetics, Endocrinology, Diabetes and Metabolism, Public Health, Environmental and Occupational Health and Orthopedics and Sports Medicine, having authored 38 papers that have together received 1.1k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (15 papers), Hematopoietic Stem Cell Transplantation (12 papers), Acute Lymphoblastic Leukemia research (6 papers), Chronic Myeloid Leukemia Treatments (3 papers), Chronic Lymphocytic Leukemia Research (2 papers), Diabetes Management and Research (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers) and Bone and Joint Diseases (2 papers). The work is most often cited by research in Hematology (465 citations), Genetics (259 citations), Immunology (180 citations), Oncology (231 citations) and Pathology and Forensic Medicine (103 citations). J. E. Curtis has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include E. A. McCulloch, E. M. Hersh, Emil J. Freireich, Hans A. Messner, Michael Lishner, H. A. Messner, Mark D. Minden, James Harris, C. M. McBride and R. Hasselback. Their work appears in journals such as Journal of Clinical Oncology, British Journal of Haematology, Blood, Cancer and The Journal of Pediatrics.

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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