Vashe Chandrakanthan

54 total papers · 1.2k total citations
18 papers, 784 citations indexed

About

Vashe Chandrakanthan is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Oncology. According to data from OpenAlex, Vashe Chandrakanthan has authored 18 papers receiving a total of 784 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 9 papers in Public Health, Environmental and Occupational Health and 5 papers in Oncology. Recurrent topics in Vashe Chandrakanthan's work include Reproductive Biology and Fertility (8 papers), Pluripotent Stem Cells Research (8 papers) and Cancer-related Molecular Pathways (5 papers). Vashe Chandrakanthan is often cited by papers focused on Reproductive Biology and Fertility (8 papers), Pluripotent Stem Cells Research (8 papers) and Cancer-related Molecular Pathways (5 papers). Vashe Chandrakanthan collaborates with scholars based in Australia, United States and United Kingdom. Vashe Chandrakanthan's co-authors include Chris O’Neill, John E. Pimanda, Joan Li, Richard P. Harvey, Bin Zhou, William T. Pu, Andrew V. Biankin, Hans Zoellner, Emily K. Colvin and James J.H. Chong and has published in prestigious journals such as Blood, Molecular and Cellular Biology and Journal of Cell Science.

In The Last Decade

Vashe Chandrakanthan

18 papers receiving 773 citations

Author Peers

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

Author Last Decade Papers Cites
Vashe Chandrakanthan 565 264 194 137 111 18 784
Alessandra Tritarelli 424 0.8× 205 0.8× 26 0.1× 141 1.0× 159 1.4× 18 707
Marina V. Pryzhkova 493 0.9× 99 0.4× 77 0.4× 60 0.4× 36 0.3× 22 658
Kosuke Tsuboi 282 0.5× 253 1.0× 35 0.2× 368 2.7× 59 0.5× 19 702
Chihiro Okada 394 0.7× 169 0.6× 27 0.1× 83 0.6× 111 1.0× 18 799
Tamar Katz 363 0.6× 128 0.5× 26 0.1× 47 0.3× 94 0.8× 24 684
Patricia van den Hoogen 478 0.8× 83 0.3× 39 0.2× 178 1.3× 86 0.8× 11 734
Philip A. Bondzie 402 0.7× 169 0.6× 23 0.1× 160 1.2× 106 1.0× 13 856
Francine Rezzoug 281 0.5× 187 0.7× 20 0.1× 182 1.3× 71 0.6× 26 814
Takeaki Dohda 414 0.7× 106 0.4× 77 0.4× 59 0.4× 13 0.1× 12 703
Sandrine Poglio 192 0.3× 102 0.4× 74 0.4× 244 1.8× 20 0.2× 22 783

Countries citing papers authored by Vashe Chandrakanthan

Since Specialization
Citations

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

Fields of papers citing papers by Vashe Chandrakanthan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vashe Chandrakanthan

This figure shows the co-authorship network connecting the top 25 collaborators of Vashe Chandrakanthan. A scholar is included among the top collaborators of Vashe Chandrakanthan 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 Vashe Chandrakanthan. Vashe Chandrakanthan 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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