Chandra Das

883 citations
50 papers · 639 indexed · h-index 14

Impact in

    • Glioma Diagnosis and Treatment
    • Histone Deacetylase Inhibitors Research
    • Epigenetics and DNA Methylation
    • Protein Degradation and Inhibitors
    • Ubiquitin and proteasome pathways

Papers in

Chandra Das

49 papers receiving 605 citations

Peers

Chandra Das
Comparison fields: 5 of 121
  • Genetics 55
  • Molecular Biology 310
  • Immunology 77
  • Obstetrics and Gynecology 27
  • Cancer Research 39
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Citations per field
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Citations per year

Countries citing papers authored by Chandra Das

Since Specialization
Citations

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

Fields of papers citing papers by Chandra Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200794
2 200570
3 200936
4 201235
5 198735
6
Measuring cytotoxicity: a new perspective on LC50.
200731
7 198429
8 201727
9 201121
10 201220
11 200818
12 198318
13 201016
14
Genito-urinary fistula: a major morbidity in developing countries.
201115
15 199313
16
Predicting tumor cell repopulation after response: mathematical modeling of cancer cell growth.
200612
17 198912
18 202011
19 198511
20 198511

About Chandra Das

Chandra Das is a scholar working on Molecular Biology, Obstetrics and Gynecology, Computational Theory and Mathematics, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 50 papers that have together received 639 indexed citations. Recurring topics across this work include Gene expression and cancer classification (13 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Face and Expression Recognition (5 papers), Bioinformatics and Genomic Networks (5 papers), Histone Deacetylase Inhibitors Research (4 papers), Machine Learning in Bioinformatics (4 papers), Virus-based gene therapy research (3 papers) and Immunotherapy and Immune Responses (3 papers). The work is most often cited by research in Genetics (55 citations), Molecular Biology (310 citations), Immunology (77 citations), Obstetrics and Gynecology (27 citations) and Cancer Research (39 citations). Chandra Das has collaborated with scholars based in United States, India and Pakistan. Frequent co-authors include Vidya Gopalakrishnan, John J. Langone, Johannes Wolff, Dolly Aguilera, Hernán Vásquez, K. J. Catt, Peter R. C. Gascoyne, Frederick F. Becker, Jamileh Noshari and Pradipta Maji. Their work appears in journals such as Journal of Neuro-Oncology, IEEE Transactions on NanoBioscience, Molecular and Cellular Biochemistry, The Journal of Immunology and Virus Research.

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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