Deepa Jeyakumar

2.6k citations
44 papers · 427 · h-index 8

Impact in

  • Virology top 2%
    • HIV Research and Treatment
  • Hematology top 10%
    • Acute Myeloid Leukemia Research

Papers in

    • Acute Myeloid Leukemia Research 17
    • Chronic Myeloid Leukemia Treatments 11
    • Hematopoietic Stem Cell Transplantation 6
    • Chronic Lymphocytic Leukemia Research 12

Deepa Jeyakumar

38 papers receiving 424 citations

Peers

Deepa Jeyakumar
Comparison fields: 5 of 50
  • Virology 212
  • Hematology 83
  • Infectious Diseases 114
  • Immunology 76
  • Genetics 37
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Citations per field
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Citations per year

Countries citing papers authored by Deepa Jeyakumar

Since Specialization
Citations

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

Fields of papers citing papers by Deepa Jeyakumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002189
2 202251
3 200445
4 202319
5 202315
6 20229
7 20169
8 20238
9
The Next Generation of Targeted Molecules for the Treatment of Chronic Lymphocytic Leukemia.
20167
10
Tuberculin reactivity and subsequent development of tuberculosis in a cohort of student nurses.
19996
11 20206
12 20225
13 20235
14 20245
15 20234
16 20224
17
Beri-beri in immigrant workers--a report of three cases.
19944
18 20053
19
Best Practice & Research Clinical Haematology
20163
20 20163

About Deepa Jeyakumar

Deepa Jeyakumar is a scholar working on Hematology, Genetics, Neurology, Oncology and Public Health, Environmental and Occupational Health, having authored 44 papers that have together received 427 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (17 papers), Chronic Lymphocytic Leukemia Research (12 papers), Chronic Myeloid Leukemia Treatments (11 papers), Acute Lymphoblastic Leukemia research (9 papers), Hematopoietic Stem Cell Transplantation (6 papers), Lymphoma Diagnosis and Treatment (5 papers), CAR-T cell therapy research (4 papers) and Alcoholism and Thiamine Deficiency (2 papers). The work is most often cited by research in Virology (212 citations), Hematology (83 citations), Infectious Diseases (114 citations), Immunology (76 citations) and Genetics (37 citations). Deepa Jeyakumar has collaborated with scholars based in United States, United Kingdom and Thailand. Frequent co-authors include Michael H. Malim, William J. Swiggard, Una O’Doherty, Susan Mary O'Brien, Una O’Doherty, Harry Paul Erba, Benjamin J. Lee, Brent Lee Wood, J. Liesveld and Stefan Octavian Ciurea. Their work appears in journals such as Transplantation and Cellular Therapy, American Journal of Hematology, HemaSphere, Journal of Molecular Graphics and Modelling and Annals of Hematology.

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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