Daruka Mahadevan

7.8k citations
144 papers · 4.0k indexed · h-index 34
Topics
Microtubule and mitosis dynamics (22 papers)Cancer Genomics and Diagnostics (22 papers)Cancer Immunotherapy and Biomarkers (22 papers)

In The Last Decade

Daruka Mahadevan

140 papers receiving 3.9k citations

Peers

Daruka Mahadevan
Comparison fields: 5 of 128
  • Molecular Biology 2.1k
  • Oncology 1.7k
  • Immunology 547
  • Cell Biology 523
  • Pulmonary and Respiratory Medicine 443
Replace David J. Bearss with:
David J. Bearss United States
Peter Blume‐Jensen United States
Dominic Fan United States
T.R. Jeffry Evans United Kingdom
Devalingam Mahalingam United States
Volker Wacheck Austria
William P. Tong United States
Takeshi Shimamura Japan
Agop Y. Bedikian United States
Francesco Caponigro Italy
Daruka Mahadevan relative to David J. Bearss United States David J. Bearss's profile →
Citations per field
00.5×1.5×
David J. Bearss · 1×
Citations per year

Countries citing papers authored by Daruka Mahadevan

Since Specialization
Citations

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

Fields of papers citing papers by Daruka Mahadevan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daruka Mahadevan

This figure shows the co-authorship network connecting the top 25 collaborators of Daruka Mahadevan. A scholar is included among the top collaborators of Daruka Mahadevan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daruka Mahadevan. Daruka Mahadevan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 5
2 2
3 28
4 3
5 10
6 11
7 28
8 17
9 15
10 91
11 33
12 75
13 18
14 76
15 22
16 2
17 76
18
Dual inhibition of receptor tyrosine kinases of PDGFR and EGFR abolishes prostate cancer cell growth in culture and in a mouse xenograft model by complete dephosphorylation of PKB/Akt
1
19 8
20 12

About Daruka Mahadevan

Daruka Mahadevan is a scholar working on Oncology, Cancer Research and Cell Biology, having authored 144 papers that have together received 4.0k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (22 papers), Cancer Genomics and Diagnostics (22 papers) and Cancer Immunotherapy and Biomarkers (22 papers). The work is most often cited by research in Oncology (1.7k citations), Cell Biology (523 citations) and Molecular Biology (2.1k citations). Daruka Mahadevan has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Daniel D. Von Hoff, Laurence Cooke, Radhamani Kannaiyan, Alan F. List, José W. Saldanha, Wenqing Qi, Emmanuelle J. Meuillet, Garth Powis, David J. Bearss and Hani M. Babiker. Their work appears in journals such as Nature, Journal of Biological Chemistry 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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