Ila Datar

2.8k citations
17 papers · 451 · h-index 9

Impact in

  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Immune cells in cancer

Papers in

    • Cancer Immunotherapy and Biomarkers 8
    • Peptidase Inhibition and Analysis 2
    • Melanoma and MAPK Pathways 3

Ila Datar

16 papers receiving 448 citations

Peers

Ila Datar
Comparison fields: 5 of 51
  • Oncology 252
  • Immunology 155
  • Developmental Neuroscience 14
  • Pathology and Forensic Medicine 46
  • Cancer Research 37
Replace Jacob Thomas with:
Jacob Thomas United States
Sanjana Bukkapatnam United States
Lisa Blaydorn United States
Mark Vitucci United States
Lidong Zu China
Donger Zhou China
Aleksandra Łacko Poland
Ida Lundberg Sweden
Anni Laine Finland
S Owen United Kingdom
Ila Datar relative to Jacob Thomas United States Jacob Thomas's profile →
Citations per field
00.5×6.3×
Jacob Thomas · 1×
Citations per year

Countries citing papers authored by Ila Datar

Since Specialization
Citations

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

Fields of papers citing papers by Ila Datar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2017171
2 202293
3 201546
4 201333
5 201528
6 202127
7 201415
8 20228
9 20128
10 20196
11 20176
12 20174
13 20172
14 20172
15 20181
16 20181
17 20170

About Ila Datar

Ila Datar is a scholar working on Oncology, Molecular Biology, Immunology, Pathology and Forensic Medicine and Biotechnology, having authored 17 papers that have together received 451 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (8 papers), Cancer Mechanisms and Therapy (3 papers), Immunotherapy and Immune Responses (3 papers), Melanoma and MAPK Pathways (3 papers), Cancer Research and Treatments (3 papers), Immune cells in cancer (3 papers), Ferroptosis and cancer prognosis (2 papers) and Peptidase Inhibition and Analysis (2 papers). The work is most often cited by research in Oncology (252 citations), Immunology (155 citations), Developmental Neuroscience (14 citations), Pathology and Forensic Medicine (46 citations) and Cancer Research (37 citations). Ila Datar has collaborated with scholars based in United States, Kuwait and China. Frequent co-authors include Kurt A. Schalper, Roy S. Herbst, Vamsidhar Velcheti, Lieping Chen, Konstantinos Syrigos, Nikita Mani, Franz Villarroel‐Espíndola, Miguel F. Sanmamed, Maria Toki and Kam C. Yeung. Their work appears in journals such as PLoS ONE, Cancer Research, Clinical Cancer Research, Journal for ImmunoTherapy of Cancer and Journal of Clinical Oncology.

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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