Debdatta Basu

953 citations
98 papers · 576 · h-index 14

Impact in

  • Hematology top 5%
    • Multiple Myeloma Research and Treatments
    • Acute Myeloid Leukemia Research
  • Genetics top 10%
    • Chronic Lymphocytic Leukemia Research
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

    • Acute Myeloid Leukemia Research 11
    • Multiple Myeloma Research and Treatments 7
    • Chronic Myeloid Leukemia Treatments 5
    • Chronic Lymphocytic Leukemia Research 14

Debdatta Basu

87 papers receiving 548 citations

Peers

Debdatta Basu
Comparison fields: 5 of 94
  • Hematology 134
  • Genetics 84
  • Emergency Medicine 52
  • Orthopedics and Sports Medicine 29
  • Biochemistry 19
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Citations per field
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Citations per year

Countries citing papers authored by Debdatta Basu

Since Specialization
Citations

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

Fields of papers citing papers by Debdatta Basu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014105
2 201124
3 201322
4 200920
5 200718
6 201618
7 201517
8 200916
9 201416
10 201116
11
Fetus in fetu or differentiated teratomas?
200616
12
Value of nucleated red blood cells in predicting severity and outcome of perinatal asphyxia.
200415
13 201314
14 201513
15 201913
16 201412
17 201111
18
Granulomas in bone marrow--a study of fourteen cases.
200511
19 202010
20 201410

About Debdatta Basu

Debdatta Basu is a scholar working on Hematology, Genetics, Pathology and Forensic Medicine, Surgery and Emergency Medicine, having authored 98 papers that have together received 576 indexed citations. Recurring topics across this work include Hematological disorders and diagnostics (14 papers), Lymphoma Diagnosis and Treatment (14 papers), Chronic Lymphocytic Leukemia Research (14 papers), Acute Myeloid Leukemia Research (11 papers), Acute Lymphoblastic Leukemia research (10 papers), Multiple Myeloma Research and Treatments (7 papers), Bone and Joint Diseases (7 papers) and Chronic Myeloid Leukemia Treatments (5 papers). The work is most often cited by research in Hematology (134 citations), Genetics (84 citations), Emergency Medicine (52 citations), Orthopedics and Sports Medicine (29 citations) and Biochemistry (19 citations). Debdatta Basu has collaborated with scholars based in India and United States. Frequent co-authors include Rajendra Kulkarni, Rakhee Kar, Tarun Kumar Dutta, Biswajit Dubashi, S Jagdish, Vikram Kate, Suresh Chandra Pradhan, B. Vishnu Bhat, Sajini Elizabeth Jacob and Sunitha Kodidela. Their work appears in journals such as Acta Cytologica, Diagnostic Cytopathology, British Journal of Haematology, Indian Journal of Anaesthesia and Pathology.

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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