Ishani Das

560 citations
21 papers · 410 · h-index 9

Impact in

Papers in

    • Melanoma and MAPK Pathways 9
    • PI3K/AKT/mTOR signaling in cancer 4
    • DNA Repair Mechanisms 2
    • Cancer Immunotherapy and Biomarkers 4
    • Cutaneous Melanoma Detection and Management 3
    • CAR-T cell therapy research 3

Ishani Das

21 papers receiving 408 citations

Peers

Ishani Das
Comparison fields: 5 of 107
  • Oncology 98
  • Cancer Research 49
  • Molecular Biology 168
  • Immunology 45
  • Biomaterials 26
Replace Maude Fransolet with:
Maude Fransolet Belgium
Ya-Ling Yeh Taiwan
Padideh Davoodpour Sweden
Fengzhu Guo China
Maria Mrakovcic Austria
Rosa Mistica C. Ignacio South Korea
Bowen Liu China
Yuexin Shen China
Ishani Das relative to Maude Fransolet Belgium Maude Fransolet's profile →
Citations per field
00.5×1.6×
Maude Fransolet · 1×
Citations per year

Countries citing papers authored by Ishani Das

Since Specialization
Citations

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

Fields of papers citing papers by Ishani Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016108
2 201890
3 201868
4 201730
5 202021
6 201920
7 202014
8 202211
9 202110
10 20228
11 20228
12 20216
13 20204
14
Biocompatible Chitosan Nanoparticles as an Efficient Delivery Vehicle for Mycobacterium Tuberculosis Lipids to Induce Potent Cytokines and Antibody Response through Activation of γδ T-Cells in Mice
20172
15 20252
16 20232
17 20182
18 20251
19 20221
20 20191

About Ishani Das

Ishani Das is a scholar working on Molecular Biology, Oncology, Immunology, Pathology and Forensic Medicine and Epidemiology, having authored 21 papers that have together received 410 indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (9 papers), Cancer Immunotherapy and Biomarkers (4 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Cutaneous Melanoma Detection and Management (3 papers), CAR-T cell therapy research (3 papers), Immune Cell Function and Interaction (2 papers), DNA Repair Mechanisms (2 papers) and Cancer Mechanisms and Therapy (2 papers). The work is most often cited by research in Oncology (98 citations), Cancer Research (49 citations), Molecular Biology (168 citations), Immunology (45 citations) and Biomaterials (26 citations). Ishani Das has collaborated with scholars based in Sweden, United States and United Kingdom. Frequent co-authors include Avinash Sonawane, Rojalin Sahu, Ranjit K. Mehta, Rashmirekha Pati, Rainer Tuominen, Herbert Cubasch, Shane A. Norris, Paul Ruff, Johan Hansson and Oluwatosin Ayeni. Their work appears in journals such as Cell Death and Disease, Journal of Investigative Dermatology, Modern Pathology, Scientific Reports and DNA repair.

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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