Vaishali Jayashankar

729 total citations
9 papers, 563 citations indexed

About

Vaishali Jayashankar is a scholar working on Molecular Biology, Cancer Research and Clinical Biochemistry. According to data from OpenAlex, Vaishali Jayashankar has authored 9 papers receiving a total of 563 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Clinical Biochemistry. Recurrent topics in Vaishali Jayashankar's work include Cancer, Hypoxia, and Metabolism (3 papers), Metabolism, Diabetes, and Cancer (3 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Vaishali Jayashankar is often cited by papers focused on Cancer, Hypoxia, and Metabolism (3 papers), Metabolism, Diabetes, and Cancer (3 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Vaishali Jayashankar collaborates with scholars based in United States, Canada and Australia. Vaishali Jayashankar's co-authors include Aimee L. Edinger, Brendan T. Finicle, Susanne M. Rafelski, Archna Ravi, Jonathan Chernoff, Jane Robertson, Tricia T Nguyen, Michelle A. Digman, Bruce J. Tromberg and Jue Hou and has published in prestigious journals such as Nature Communications, Nature reviews. Cancer and PLoS ONE.

In The Last Decade

Vaishali Jayashankar

9 papers receiving 561 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Vaishali Jayashankar United States 7 360 189 113 94 59 9 563
Brendan T. Finicle United States 8 291 0.8× 157 0.8× 85 0.8× 68 0.7× 41 0.7× 9 462
Rania Faouzi Zaarour United Arab Emirates 11 293 0.8× 163 0.9× 97 0.9× 112 1.2× 55 0.9× 18 717
Xiphias Ge Zhu United States 7 516 1.4× 307 1.6× 51 0.5× 90 1.0× 69 1.2× 7 719
Rachel W. Goehe United States 10 461 1.3× 129 0.7× 38 0.3× 79 0.8× 125 2.1× 12 674
Céline Tellier Belgium 6 202 0.6× 184 1.0× 41 0.4× 89 0.9× 51 0.9× 6 441
Hee Yeon Kim South Korea 12 284 0.8× 121 0.6× 64 0.6× 55 0.6× 44 0.7× 22 432
Kelly G. Bryant United States 9 397 1.1× 213 1.1× 79 0.7× 76 0.8× 37 0.6× 10 527
Koen M.O. Galenkamp Spain 9 242 0.7× 124 0.7× 68 0.6× 121 1.3× 28 0.5× 11 440
Mahmoud El‐Shemerly Switzerland 11 672 1.9× 272 1.4× 162 1.4× 211 2.2× 37 0.6× 12 857
Esther W. Lim United States 7 492 1.4× 265 1.4× 105 0.9× 77 0.8× 49 0.8× 11 744

Countries citing papers authored by Vaishali Jayashankar

Since Specialization
Citations

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

Fields of papers citing papers by Vaishali Jayashankar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vaishali Jayashankar

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

All Works

9 of 9 papers shown
1.
Jayashankar, Vaishali, Sarah E. Hancock, Amandine Verlande, et al.. (2021). Drug‐like sphingolipid SH‐BC‐893 opposes ceramide‐induced mitochondrial fission and corrects diet‐induced obesity. EMBO Molecular Medicine. 13(8). e13086–e13086. 17 indexed citations
2.
Jayashankar, Vaishali & Aimee L. Edinger. (2020). Macropinocytosis confers resistance to therapies targeting cancer anabolism. Nature Communications. 11(1). 1121–1121. 136 indexed citations
3.
Finicle, Brendan T., Vaishali Jayashankar, & Aimee L. Edinger. (2018). Nutrient scavenging in cancer. Nature reviews. Cancer. 18(10). 619–633. 177 indexed citations
4.
Kim, Seong Min, Tricia T Nguyen, Archna Ravi, et al.. (2018). PTEN Deficiency and AMPK Activation Promote Nutrient Scavenging and Anabolism in Prostate Cancer Cells. Cancer Discovery. 8(7). 866–883. 160 indexed citations
5.
Jayashankar, Vaishali, Brendan T. Finicle, & Aimee L. Edinger. (2018). Starving PTEN-deficient prostate cancer cells thrive under nutrient stress by scavenging corpses for their supper. Molecular & Cellular Oncology. 5(4). e1472060–e1472060. 5 indexed citations
6.
Jayashankar, Vaishali, Irina A. Mueller, & Susanne M. Rafelski. (2016). Shaping the multi-scale architecture of mitochondria. Current Opinion in Cell Biology. 38. 45–51. 20 indexed citations
7.
Chen, Lawrence, et al.. (2014). Characterization of the Zebrafish Homolog of Zipper Interacting Protein Kinase. International Journal of Molecular Sciences. 15(7). 11597–11613. 2 indexed citations
8.
Jayashankar, Vaishali & Susanne M. Rafelski. (2013). Integrating mitochondrial organization and dynamics with cellular architecture. Current Opinion in Cell Biology. 26. 34–40. 31 indexed citations
9.
Jayashankar, Vaishali, et al.. (2013). Protein Phosphatase 1 β Paralogs Encode the Zebrafish Myosin Phosphatase Catalytic Subunit. PLoS ONE. 8(9). e75766–e75766. 15 indexed citations

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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2026