Jack Bartram

3.1k citations
51 papers · 949 · h-index 18

Impact in

  • Hematology top 5%
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments
  • Genetics top 10%
    • Hemoglobinopathies and Related Disorders

Papers in

Jack Bartram

47 papers receiving 921 citations

Peers

Jack Bartram
Comparison fields: 5 of 85
  • Hematology 312
  • Genetics 121
  • Public Health, Environmental and Occupational Health 305
  • Microbiology 50
  • Pediatrics, Perinatology and Child Health 122
Replace Randi Nygaard with:
Randi Nygaard Norway
Megumi Oda Japan
Susanna Fischer Austria
Zinaida Perić Croatia
K.G. Patterson United Kingdom
Deborah Schiff United States
Hideki Nakayama Japan
J. D’Amaro Netherlands
Susan L. Heatley Australia
Vildan Özkocaman Türkiye
Jack Bartram relative to Randi Nygaard Norway Randi Nygaard's profile →
Citations per field
00.5×3.9×
Randi Nygaard · 1×
Citations per year

Countries citing papers authored by Jack Bartram

Since Specialization
Citations

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

Fields of papers citing papers by Jack Bartram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017109
2 201779
3 198859
4 198459
5 201358
6 201755
7 198647
8 202244
9 201040
10 201634
11 201631
12 200631
13 202129
14 201023
15 201622
16 202220
17 200520
18 201019
19 202016
20 202115

About Jack Bartram

Jack Bartram is a scholar working on Public Health, Environmental and Occupational Health, Hematology, Genetics, Molecular Biology and Pediatrics, Perinatology and Child Health, having authored 51 papers that have together received 949 indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (25 papers), Acute Myeloid Leukemia Research (14 papers), Chronic Myeloid Leukemia Treatments (7 papers), Hemoglobinopathies and Related Disorders (6 papers), Cancer Genomics and Diagnostics (5 papers), Childhood Cancer Survivors' Quality of Life (4 papers), Iron Metabolism and Disorders (3 papers) and CAR-T cell therapy research (3 papers). The work is most often cited by research in Hematology (312 citations), Genetics (121 citations), Public Health, Environmental and Occupational Health (305 citations), Microbiology (50 citations) and Pediatrics, Perinatology and Child Health (122 citations). Jack Bartram has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Robert B. Belshe, E. L. Anderson, Ajay Vora, Sujith Samarasinghe, Nick Goulden, John Moppett, Jeremy Hancock, L. P. Van Voris, Rachel Wade and David O’Connor. Their work appears in journals such as Blood, British Journal of Haematology, The Journal of Infectious Diseases, Pediatric Blood & Cancer and Leukemia.

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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