David Hakimian

1.7k citations
49 papers · 1.1k · h-index 17

Impact in

  • Genetics top 1%
    • Chronic Lymphocytic Leukemia Research
  • Hematology top 5%
    • Acute Myeloid Leukemia Research

Papers in

David Hakimian

44 papers receiving 1.0k citations

Peers

David Hakimian
Comparison fields: 5 of 58
  • Genetics 616
  • Hematology 279
  • Pathology and Forensic Medicine 369
  • Immunology 268
  • Physiology 48
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Citations per field
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Citations per year

Countries citing papers authored by David Hakimian

Since Specialization
Citations

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

Fields of papers citing papers by David Hakimian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993173
2 200599
3 199294
4 199678
5
Minimal residual disease in patients with hairy cell leukemia in complete remission treated with 2-chlorodeoxyadenosine or 2-deoxycoformycin and prediction of early relapse.
199970
6 199668
7 199466
8 199553
9 199351
10 199348
11 202129
12
Treatment of hairy-cell leukemia: current views.
199929
13
Basophilic differentiation in acute promyelocytic leukemia.
199328
14 199826
15 199419
16 202117
17
Erythema nodosum associated with all-trans-retinoic acid in the treatment of acute promyelocytic leukemia.
199316
18 201911
19 199711
20 20178

About David Hakimian

David Hakimian is a scholar working on Genetics, Pathology and Forensic Medicine, Oncology, Immunology and Pulmonary and Respiratory Medicine, having authored 49 papers that have together received 1.1k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (19 papers), Lymphoma Diagnosis and Treatment (12 papers), Viral-associated cancers and disorders (7 papers), Retinoids in leukemia and cellular processes (6 papers), Acute Myeloid Leukemia Research (5 papers), Immunodeficiency and Autoimmune Disorders (5 papers), Lung Cancer Treatments and Mutations (5 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Genetics (616 citations), Hematology (279 citations), Pathology and Forensic Medicine (369 citations), Immunology (268 citations) and Physiology (48 citations). David Hakimian has collaborated with scholars based in United States, Israel and Philippines. Frequent co-authors include Martin S. Tallman, Daina Variakojis, MS Tallman, Esther Rose, John M. Shaw, Gary S. Lissner, LoAnn C. Peterson, LoAnn Peterson, Alfred Rademaker and Frederick R. Rickles. Their work appears in journals such as Blood, Journal of Clinical Oncology, Journal of Thoracic Oncology, American Journal of Hematology and Cancer.

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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