Anushka Dongre

5.4k citations
15 papers · 3.8k indexed · 1 hit paper · h-index 11
  • Oncology top 1%
    • Cancer Immunotherapy and Biomarkers 8
    • Cancer Cells and Metastasis 8
  • Immunology top 5%
    • Immune cells in cancer 3
    • Immunotherapy and Immune Responses 2
    • T-cell and B-cell Immunology 2
    • Immune Cell Function and Interaction 2
    • Epigenetics and DNA Methylation 2
    • Adenosine and Purinergic Signaling 2

Anushka Dongre

14 papers receiving 3.8k citations

Hit Papers

New insights into the mechanisms of epithelial–mesenchyma...2.6k201820262020202350010001.5k2.0k2.5k

Peers

Anushka Dongre
Comparison fields: 5 of 111
  • Cancer Research 1.2k
  • Oncology 1.8k
  • Immunology 764
  • Molecular Biology 2.0k
  • Cell Biology 336
Replace Bram De Craene with:
Bram De Craene Belgium
Rebecca S. Cook United States
Xin Ye China
George S. Karagiannis United States
Tatjana Crnogorac‐Jurcevic United Kingdom
Daniel Rosen United States
Ya’an Kang United States
Paloma Bragado Spain
Adriana Eramo Italy
Wei‐Zhong Wu China
Anushka Dongre relative to Bram De Craene Belgium Bram De Craene's profile →
Citations per field
00.5×3.0×
Bram De Craene · 1×
Citations per year

Countries citing papers authored by Anushka Dongre

Since Specialization
Citations

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

Fields of papers citing papers by Anushka Dongre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

15 of 15 papers shown
#Work
1 20233
2 20220
3 202093
4 20201
5 20202
6 201987
7 201967
8 2018130
9
New insights into the mechanisms of epithelial–mesenchymal transition and implications for cancerbreakdown →
20182646
10 2017295
11 2017186
12 2016122
13 201462
14 201360
15 201222

About Anushka Dongre

Anushka Dongre is a scholar working on Physiology, Oncology and Immunology, having authored 15 papers that have together received 3.8k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (8 papers), Cancer Cells and Metastasis (8 papers), Immune cells in cancer (3 papers), Adenosine and Purinergic Signaling (2 papers), Immunotherapy and Immune Responses (2 papers), Epigenetics and DNA Methylation (2 papers), T-cell and B-cell Immunology (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Cancer Research (1.2k citations), Oncology (1.8k citations) and Immunology (764 citations). Anushka Dongre has collaborated with scholars based in United States, Belgium and Sweden. Frequent co-authors include Robert A. Weinberg, Ferenc Reinhardt, Mohammad Rashidian, Zuzana Keckesova, Hidde L. Ploegh, Tsukasa Shibue, Todd E. Golde, Juan J. Cragnolini, Abdul H. Fauq and James Gorman. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and The Journal of Chemical Physics.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026