Amitava Sengupta

1.1k citations
37 papers · 724 · h-index 15

Impact in

  • Hematology top 5%
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments
    • Hematopoietic Stem Cell Transplantation
  • Genetics top 10%

Papers in

    • Chromatin Remodeling and Cancer 6
    • Protein Degradation and Inhibitors 5
    • Epigenetics and DNA Methylation 4
    • Histone Deacetylase Inhibitors Research 4
    • Acute Myeloid Leukemia Research 11
    • Chronic Myeloid Leukemia Treatments 8
    • Hematopoietic Stem Cell Transplantation 3

Amitava Sengupta

33 papers receiving 716 citations

Peers

Amitava Sengupta
Comparison fields: 5 of 81
  • Hematology 226
  • Genetics 101
  • Molecular Biology 435
  • Cancer Research 70
  • Immunology 100
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Citations per field
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Citations per year

Countries citing papers authored by Amitava Sengupta

Since Specialization
Citations

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

Fields of papers citing papers by Amitava Sengupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007125
2 201272
3 201449
4 201048
5 201144
6 201042
7 201040
8 201235
9 201333
10 202029
11 201127
12 201723
13 201922
14 201820
15 200718
16 200614
17 201913
18 200912
19 201110
20 202010

About Amitava Sengupta

Amitava Sengupta is a scholar working on Molecular Biology, Hematology, Surgery, Pathology and Forensic Medicine and Cancer Research, having authored 37 papers that have together received 724 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (11 papers), Chronic Myeloid Leukemia Treatments (8 papers), Chromatin Remodeling and Cancer (6 papers), Protein Degradation and Inhibitors (5 papers), Epigenetics and DNA Methylation (4 papers), Histone Deacetylase Inhibitors Research (4 papers), Hematopoietic Stem Cell Transplantation (3 papers) and Acute Lymphoblastic Leukemia research (3 papers). The work is most often cited by research in Hematology (226 citations), Genetics (101 citations), Molecular Biology (435 citations), Cancer Research (70 citations) and Immunology (100 citations). Amitava Sengupta has collaborated with scholars based in India, United States and Germany. Frequent co-authors include José A. Cancelas, Debasis Banerjee, Soumyabrata Banerjee, Susan Dunn, Saurabh Chandra, Rajeshwary Ghosh, Rupali Roy, Eri Ishikawa, David A. Williams and Daniel González‐Nieto. Their work appears in journals such as Blood, Experimental Hematology, The FASEB Journal, Cell Reports 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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