Shipra Das

2.4k citations
16 papers · 1.6k · h-index 13

Impact in

  • Immunology top 5%
    • Immune cells in cancer
    • Immune Cell Function and Interaction
  • Oncology top 5%
    • Cancer Immunotherapy and Biomarkers
    • Pancreatic and Hepatic Oncology Research

Papers in

    • RNA and protein synthesis mechanisms 6
    • RNA modifications and cancer 6
    • RNA Research and Splicing 6
    • Cancer Immunotherapy and Biomarkers 4
    • Pancreatic and Hepatic Oncology Research 3
    • CAR-T cell therapy research 3
    • Cancer Cells and Metastasis 2

Shipra Das

16 papers receiving 1.6k citations

Peers

Shipra Das
Comparison fields: 5 of 97
  • Immunology 482
  • Oncology 560
  • Cancer Research 304
  • Molecular Biology 1.0k
  • Immunology and Allergy 29
Replace Mert Sozen with:
Mert Sozen Türkiye
Esther M. de Kruijf Netherlands
Kyoung Eun Lee United States
Karin Wadt Denmark
Qi-Jing Li United States
Daphne Tsoucas United States
Micaela Hernberg Finland
Thomas Jamieson United Kingdom
C Lu Japan
Shipra Das relative to Mert Sozen Türkiye Mert Sozen's profile →
Citations per field
00.5×3.1×
Mert Sozen · 1×
Citations per year

Countries citing papers authored by Shipra Das

Since Specialization
Citations

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

Fields of papers citing papers by Shipra Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2012330
2 2015260
3 2020250
4 2014215
5 2012158
6 201392
7 201772
8 201971
9 201961
10 202335
11 201534
12 199421
13 202418
14 20128
15 20027
16 20221

About Shipra Das

Shipra Das is a scholar working on Molecular Biology, Oncology, Immunology, Biomedical Engineering and Economics and Econometrics, having authored 16 papers that have together received 1.6k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (6 papers), RNA modifications and cancer (6 papers), RNA Research and Splicing (6 papers), Cancer Immunotherapy and Biomarkers (4 papers), Pancreatic and Hepatic Oncology Research (3 papers), Nanowire Synthesis and Applications (3 papers), CAR-T cell therapy research (3 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Immunology (482 citations), Oncology (560 citations), Cancer Research (304 citations), Molecular Biology (1.0k citations) and Immunology and Allergy (29 citations). Shipra Das has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Adrian R. Krainer, Dafna Bar‐Sagi, Martin Akerman, Olga Anczuków, Adrian R. Krainer, Sandra Vogt, Beny Shapiro, Emily Vucic, Senthil K. Muthuswamy and Lixing Zhan. Their work appears in journals such as Cell Reports, Molecular Therapy, Nature Structural & Molecular Biology, European Journal of Cancer and Frontiers in Immunology.

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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