Devendra Hiwase

3.2k citations
112 papers · 1.4k · h-index 21

Impact in

  • Hematology top 1%
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments
    • Hematopoietic Stem Cell Transplantation
    • Multiple Myeloma Research and Treatments
  • Genetics top 2%
    • Chronic Lymphocytic Leukemia Research
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

    • Acute Myeloid Leukemia Research 57
    • Chronic Myeloid Leukemia Treatments 39
    • Hematopoietic Stem Cell Transplantation 11
    • Multiple Myeloma Research and Treatments 9
    • Chronic Lymphocytic Leukemia Research 27
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 24

Devendra Hiwase

102 papers receiving 1.4k citations

Peers

Devendra Hiwase
Comparison fields: 5 of 74
  • Hematology 935
  • Genetics 422
  • Oncology 273
  • Rheumatology 150
  • Immunology 170
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Fabio Stagno Italy
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Citations per field
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Citations per year

Countries citing papers authored by Devendra Hiwase

Since Specialization
Citations

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

Fields of papers citing papers by Devendra Hiwase

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 112 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008157
2 201383
3 200769
4 201760
5 201360
6 202052
7 201743
8 200743
9 202241
10 201040
11 201639
12 201038
13 201438
14 201931
15 201727
16 201927
17 201427
18 202226
19 201625
20 201123

About Devendra Hiwase

Devendra Hiwase is a scholar working on Hematology, Genetics, Molecular Biology, Public Health, Environmental and Occupational Health and Rheumatology, having authored 112 papers that have together received 1.4k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (57 papers), Chronic Myeloid Leukemia Treatments (39 papers), Chronic Lymphocytic Leukemia Research (27 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (24 papers), Acute Lymphoblastic Leukemia research (13 papers), Hematopoietic Stem Cell Transplantation (11 papers), Eosinophilic Disorders and Syndromes (10 papers) and Multiple Myeloma Research and Treatments (9 papers). The work is most often cited by research in Hematology (935 citations), Genetics (422 citations), Oncology (273 citations), Rheumatology (150 citations) and Immunology (170 citations). Devendra Hiwase has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Timothy P. Hughes, Deborah L. White, Sharad Kumar, Christopher N Hahn, David M. Ross, Michael Bailey, Hamish S. Scott, Anthony P. Schwarer, David T Yeung and Verity A Saunders. Their work appears in journals such as Blood, Leukemia, American Journal of Hematology, Blood Advances and Leukemia Research.

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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