Madhurima Das

748 total citations
43 papers, 564 citations indexed

About

Madhurima Das is a scholar working on Molecular Biology, Hematology and Genetics. According to data from OpenAlex, Madhurima Das has authored 43 papers receiving a total of 564 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 8 papers in Hematology and 7 papers in Genetics. Recurrent topics in Madhurima Das's work include Protein Structure and Dynamics (9 papers), Mesenchymal stem cell research (7 papers) and Hematopoietic Stem Cell Transplantation (6 papers). Madhurima Das is often cited by papers focused on Protein Structure and Dynamics (9 papers), Mesenchymal stem cell research (7 papers) and Hematopoietic Stem Cell Transplantation (6 papers). Madhurima Das collaborates with scholars based in India and United States. Madhurima Das's co-authors include S.K. Alex Law, Olga Gursky, Samaresh Chaudhuri, Xiaohu Mei, Vaijayanti Kale, Malay Chaklader, Sumanta Chatterjee, Ranjan Dutta, Pratima Basak and Shobini Jayaraman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Molecular Biology.

In The Last Decade

Madhurima Das

40 papers receiving 550 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Madhurima Das India 15 352 92 90 83 72 43 564
Luena Papa United States 11 493 1.4× 135 1.5× 77 0.9× 66 0.8× 112 1.6× 16 744
Xiaofei Qi China 14 493 1.4× 114 1.2× 85 0.9× 106 1.3× 28 0.4× 61 850
Rebecca C. Timson United States 6 548 1.6× 37 0.4× 69 0.8× 69 0.8× 44 0.6× 10 786
Nina Zolotarjova United States 12 572 1.6× 54 0.6× 53 0.6× 38 0.5× 62 0.9× 21 862
Richard L. Boriack United States 17 536 1.5× 25 0.3× 184 2.0× 47 0.6× 85 1.2× 32 828
Maria Teresa Rizzo United States 13 254 0.7× 74 0.8× 58 0.6× 128 1.5× 26 0.4× 40 601
Esmeralda Martins Portugal 20 484 1.4× 28 0.3× 226 2.5× 50 0.6× 63 0.9× 77 988
Paul S. Hole United Kingdom 9 418 1.2× 276 3.0× 46 0.5× 55 0.7× 34 0.5× 14 720
Mi‐Kyung Oh South Korea 11 207 0.6× 18 0.2× 42 0.5× 97 1.2× 43 0.6× 19 410
Joanne Uhl United States 12 277 0.8× 28 0.3× 113 1.3× 84 1.0× 81 1.1× 19 587

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-authorship network of co-authors of Madhurima Das

This figure shows the co-authorship network connecting the top 25 collaborators of Madhurima Das. A scholar is included among the top collaborators of Madhurima Das based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Madhurima Das. Madhurima Das is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Tiwari, Ankit, et al.. (2025). Interactive augmented reality application using animal flashcards for education of children. Interactive Learning Environments. 33(9). 5184–5212.
2.
Iwanaszko, Marta, Yukitomo Ishi, Sarah Gold, et al.. (2025). Ectopic expression of testis-specific transcription elongation factor in driving cancer. Science Advances. 11(11). eads4200–eads4200. 1 indexed citations
3.
Iwanaszko, Marta, Sarah Gold, Madhurima Das, et al.. (2024). Transcriptional elongation control of hypoxic response. Proceedings of the National Academy of Sciences. 121(15). e2321502121–e2321502121. 5 indexed citations
4.
Das, Madhurima, et al.. (2022). Lightweight Aggregate Concrete: Strength Analysis. Current Journal of Applied Science and Technology. 32–41. 1 indexed citations
5.
6.
7.
Das, Madhurima & Vaijayanti Kale. (2020). Extracellular vesicles: Mediators of embryo-maternal crosstalk during pregnancy and a new weapon to fight against infertility. European Journal of Cell Biology. 99(8). 151125–151125. 22 indexed citations
8.
Chen, Nanhao, Madhurima Das, Andy LiWang, & Lee‐Ping Wang. (2020). Sequence-Based Prediction of Metamorphic Behavior in Proteins. Biophysical Journal. 119(7). 1380–1390. 18 indexed citations
9.
Das, Madhurima & S.K. Alex Law. (2018). Role of tumor microenvironment in cancer stem cell chemoresistance and recurrence. The International Journal of Biochemistry & Cell Biology. 103. 115–124. 63 indexed citations
10.
Saha, Shekhar, et al.. (2015). Role of Nonmuscle Myosin II in Migration of Wharton's Jelly-Derived Mesenchymal Stem Cells. Stem Cells and Development. 24(17). 2065–2077. 12 indexed citations
11.
Das, Madhurima & Olga Gursky. (2015). Amyloid-Forming Properties of Human Apolipoproteins: Sequence Analyses and Structural Insights. Advances in experimental medicine and biology. 855. 175–211. 60 indexed citations
12.
Das, Madhurima & Gautam Basu. (2015). Protein–protein association rates captured in a single geometric parameter. Proteins Structure Function and Bioinformatics. 83(9). 1557–1562. 2 indexed citations
13.
Das, Madhurima, Xiaohu Mei, Shobini Jayaraman, David Atkinson, & Olga Gursky. (2014). Amyloidogenic mutations in human apolipoprotein A‐I are not necessarily destabilizing – a common mechanism of apolipoprotein A‐I misfolding in familial amyloidosis and atherosclerosis. FEBS Journal. 281(11). 2525–2542. 42 indexed citations
14.
Rao, Tejeshwar C., et al.. (2014). Distinct fusion properties of synaptotagmin-1 and synaptotagmin-7 bearing dense core granules. Molecular Biology of the Cell. 25(16). 2416–2427. 43 indexed citations
15.
Basak, Pratima, Sumanta Chatterjee, Madhurima Das, et al.. (2010). Phenotypic Alteration of Bone Marrow HSC and Microenvironmental Association in Experimentally Induced Leukemia. Current Stem Cell Research & Therapy. 5(4). 379–386. 15 indexed citations
16.
Chatterjee, Sumanta, Malay Chaklader, Pratima Basak, et al.. (2010). An Animal Model of Chronic Aplastic Bone Marrow Failure Following Pesticide Exposure in Mice. International Journal of Stem Cells. 3(1). 54–62. 23 indexed citations
17.
Basak, Pratima, Sumanta Chatterjee, Madhurima Das, et al.. (2010). Leukemic stromal hematopoietic microenvironment negatively regulates the normal hematopoiesis in mouse model of leukemia. Chinese Journal of Cancer. 29(12). 969–979. 15 indexed citations
18.
Chatterjee, Sumanta, Pratima Basak, Madhurima Das, et al.. (2010). Sca-1 expression pattern in the mouse limbal epithelium and its association with cell cycle.. PubMed. 5(2). 65–74. 7 indexed citations
19.
Das, Madhurima, Sumanta Chatterjee, Pratima Basak, et al.. (2009). Sca-1 / c-Kit receptor expression and apoptosis pattern in ENU induced MDS mice.. PubMed. 4(4). 229–41. 7 indexed citations
20.
Das, Madhurima, et al.. (1967). Precipitation from homogeneous solution by photochemical actionDetermination of thorium. Talanta. 14(3). 439–441. 4 indexed citations

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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