Madhurima Das

761 citations
42 papers · 576 · h-index 15

Impact in

  • Hematology top 10%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
    • Mesenchymal stem cell research

Papers in

    • Protein Structure and Dynamics 9
    • Amyloidosis: Diagnosis, Treatment, Outcomes 5
    • RNA and protein synthesis mechanisms 3
    • Mesenchymal stem cell research 7

Madhurima Das

42 papers receiving 566 citations

Peers

Madhurima Das
Comparison fields: 5 of 85
  • Hematology 88
  • Genetics 55
  • Molecular Biology 338
  • Cancer Research 61
  • Cell Biology 67
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Anna Brózik Hungary
Hiroyoshi Sawada Japan
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Citations per field
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Citations per year

Countries citing papers authored by Madhurima Das

Since Specialization
Citations

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

Fields of papers citing papers by Madhurima Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201864
2 201560
3 201444
4 201442
5 201538
6 201028
7 201024
8 202022
9 202019
10 201716
11
The bone marrow stem stromal imbalance--a key feature of disease progression in case of myelodysplastic mouse model.
201016
12 201015
13 201015
14
Kinetic impairment of haemopoietic stem cells in experimentally induced leukemia and aplastic anemia: an inverse correlation.
200915
15 201614
16 201512
17 202111
18 200910
19 201210
20 201310

About Madhurima Das

Madhurima Das is a scholar working on Molecular Biology, Genetics, Hematology, Physiology and Immunology, having authored 42 papers that have together received 576 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (9 papers), Mesenchymal stem cell research (7 papers), Hematopoietic Stem Cell Transplantation (5 papers), Alzheimer's disease research and treatments (5 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (5 papers), Enzyme Structure and Function (4 papers), RNA and protein synthesis mechanisms (3 papers) and Acute Myeloid Leukemia Research (3 papers). The work is most often cited by research in Hematology (88 citations), Genetics (55 citations), Molecular Biology (338 citations), Cancer Research (61 citations) and Cell Biology (67 citations). Madhurima Das has collaborated with scholars based in India and United States. Frequent co-authors include S.K. Alex Law, Olga Gursky, Samaresh Chaudhuri, Xiaohu Mei, Vaijayanti Kale, Sumanta Chatterjee, Malay Chaklader, Pratima Basak, Ranjan Dutta and Shobini Jayaraman. Their work appears in journals such as Talanta, Stem Cells and Development, Biochemistry, Proteins Structure Function and Bioinformatics and Chinese Journal of 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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