Veena Gopalakrishnan

12 total papers · 640 total citations
8 papers, 447 citations indexed

About

Veena Gopalakrishnan is a scholar working on Molecular Biology, Oncology and Physiology. According to data from OpenAlex, Veena Gopalakrishnan has authored 8 papers receiving a total of 447 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Physiology. Recurrent topics in Veena Gopalakrishnan's work include Telomeres, Telomerase, and Senescence (2 papers), Cancer-related gene regulation (2 papers) and Cancer Genomics and Diagnostics (2 papers). Veena Gopalakrishnan is often cited by papers focused on Telomeres, Telomerase, and Senescence (2 papers), Cancer-related gene regulation (2 papers) and Cancer Genomics and Diagnostics (2 papers). Veena Gopalakrishnan collaborates with scholars based in Singapore, United States and Japan. Veena Gopalakrishnan's co-authors include Patrick Tan, Yansong Zhu, Steve Rozen, Natalia Liem, Ming‐Hui Lee, Hermioni Zouridis, Tatiana Ivanova, Bin Tean Teh, Dan Huang and Wei Peng Yong and has published in prestigious journals such as Journal of Clinical Investigation, Molecular and Cellular Biology and Cancer Research.

In The Last Decade

Veena Gopalakrishnan

8 papers receiving 440 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Veena Gopalakrishnan 319 119 89 65 57 8 447
T Koh 263 0.8× 165 1.4× 61 0.7× 51 0.8× 48 0.8× 10 540
Benedikt Bosbach 259 0.8× 86 0.7× 67 0.8× 45 0.7× 56 1.0× 12 499
Ezequiel Luis Calvo 296 0.9× 144 1.2× 86 1.0× 75 1.2× 35 0.6× 8 459
Shusil K. Pandit 358 1.1× 186 1.6× 86 1.0× 59 0.9× 36 0.6× 9 541
Ophélie Meynet 221 0.7× 80 0.7× 130 1.5× 47 0.7× 40 0.7× 9 444
Aino Paasinen-Sohns 323 1.0× 152 1.3× 138 1.6× 26 0.4× 46 0.8× 13 514
Anal Desai 263 0.8× 53 0.4× 74 0.8× 60 0.9× 39 0.7× 5 409
Byul A Jee 300 0.9× 59 0.5× 128 1.4× 58 0.9× 60 1.1× 10 438
Jian‐Ming Wen 324 1.0× 175 1.5× 123 1.4× 41 0.6× 51 0.9× 9 516
Katherine S. Meise 235 0.7× 211 1.8× 56 0.6× 91 1.4× 61 1.1× 9 464

Countries citing papers authored by Veena Gopalakrishnan

Since Specialization
Citations

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

Fields of papers citing papers by Veena Gopalakrishnan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Veena Gopalakrishnan

This figure shows the co-authorship network connecting the top 25 collaborators of Veena Gopalakrishnan. A scholar is included among the top collaborators of Veena Gopalakrishnan 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 Veena Gopalakrishnan. Veena Gopalakrishnan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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