Chinmayee Dash

471 citations
7 papers · 304 · 1 hit paper · h-index 5

Impact in

Papers in

    • Immunotherapy and Immune Responses 3
    • Immune cells in cancer 2
    • Immune Cell Function and Interaction 2
    • Cancer Immunotherapy and Biomarkers 3
    • CAR-T cell therapy research 2

Chinmayee Dash

7 papers receiving 300 citations

Chinmayee Dash's Hit Papers

Intercellular nanotubes mediate mitochondrial trafficking between cancer and immune cells 2021 · 236 citations
2360+1+3Years since publication50100150200

Peers

Chinmayee Dash
Comparison fields: 5 of 60
  • Cancer Research 73
  • Immunology 79
  • Clinical Biochemistry 18
  • Molecular Biology 170
  • Oncology 53
Replace Tanmoy Saha with:
Tanmoy Saha United States
Jayanta Mondal United States
Diahnn Futalan United States
Jonathan Lerner United States
Marzieh Naseri Iran
Mia Bjerke Sweden
Zexuan Yan China
Claudia Tregnago Italy
Eunkyung An United States
Chinmayee Dash relative to Tanmoy Saha United States Tanmoy Saha's profile →
Citations per field
00.5×1.5×
Tanmoy Saha · 1×
Citations per year

Countries citing papers authored by Chinmayee Dash

Since Specialization
Citations

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

Fields of papers citing papers by Chinmayee Dash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Chinmayee Dash, 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 Chinmayee Dash Line = papers co-authored together Chinmayee Dash links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1
Intercellular nanotubes mediate mitochondrial trafficking between cancer and immune cells
Hit paper breakdown →
2021236
2 202424
3 202116
4 202013
5 202410
6 20244
7 20191

About Chinmayee Dash

Chinmayee Dash is a scholar working on Immunology, Oncology, Biomedical Engineering, Molecular Biology and Cell Biology, having authored 7 papers that have together received 304 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), CAR-T cell therapy research (2 papers), Nanoplatforms for cancer theranostics (2 papers), Immune cells in cancer (2 papers), Immune Cell Function and Interaction (2 papers), Caveolin-1 and cellular processes (1 paper) and Advanced Nanomaterials in Catalysis (1 paper). The work is most often cited by research in Cancer Research (73 citations), Immunology (79 citations), Clinical Biochemistry (18 citations), Molecular Biology (170 citations) and Oncology (53 citations). Chinmayee Dash has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Tanmoy Saha, Shiladitya Sengupta, Hae Lin Jang, Jayanta Mondal, Sachin Khiste, Kiran Kurmi, Aditya Bardia, Pradip K. Majumder, Arpita Kulkarni and Michaela Fojtů. Their work appears in journals such as Cancer Research, Frontiers in Immunology, Science Advances, International Journal of Molecular Sciences and Nature Nanotechnology.

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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