Samar Kulkarni

970 citations
27 papers · 704 · h-index 11

Impact in

  • Hematology top 2%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
    • Multiple Myeloma Research and Treatments

Papers in

    • Hematopoietic Stem Cell Transplantation 11
    • Acute Myeloid Leukemia Research 8
    • Multiple Myeloma Research and Treatments 8
    • Cancer Treatment and Pharmacology 6
    • Neutropenia and Cancer Infections 3

Samar Kulkarni

24 papers receiving 688 citations

Peers

Samar Kulkarni
Comparison fields: 5 of 60
  • Hematology 571
  • Transplantation 28
  • Immunology 207
  • Genetics 94
  • Oncology 202
Replace Carmen Martín with:
Carmen Martín Spain
DW Beelen Germany
A Iriondo Spain
Sullivan Km United States
R Clift United States
Robert Bélanger Canada
Karl G. Blume United States
J M Vossen Netherlands
Joachim Deeg United States
Monica Soracco Italy
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Citations per field
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Citations per year

Countries citing papers authored by Samar Kulkarni

Since Specialization
Citations

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

Fields of papers citing papers by Samar Kulkarni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000268
2 1998106
3 2000101
4 199748
5 200231
6 199930
7 199925
8 199719
9 199912
10 200012
11 199910
12 19998
13 20018
14 20135
15 20094
16 20053
17 20123
18 19982
19 20072
20 20132

About Samar Kulkarni

Samar Kulkarni is a scholar working on Hematology, Oncology, Molecular Biology, Public Health, Environmental and Occupational Health and Genetics, having authored 27 papers that have together received 704 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (11 papers), Acute Myeloid Leukemia Research (8 papers), Multiple Myeloma Research and Treatments (8 papers), Acute Lymphoblastic Leukemia research (7 papers), Cancer Treatment and Pharmacology (6 papers), Neutropenia and Cancer Infections (3 papers), Mesenchymal stem cell research (2 papers) and Cancer therapeutics and mechanisms (2 papers). The work is most often cited by research in Hematology (571 citations), Transplantation (28 citations), Immunology (207 citations), Genetics (94 citations) and Oncology (202 citations). Samar Kulkarni has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include R Powles, Seema Singhal, C Horton, Jayesh Mehta, Bhawna Sirohi, Jennifer Treleaven, J Treleaven, Diana Tait, Barbara C. Millar and Jayesh Mehta. Their work appears in journals such as Blood, British Journal of Haematology, Seminars in Hematology, The Lancet and Annals of Clinical Biochemistry International Journal of Laboratory Medicine.

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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