Vishal Khivansara

1.8k total citations
9 papers, 343 citations indexed

About

Vishal Khivansara is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Vishal Khivansara has authored 9 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Cancer Research and 1 paper in Pulmonary and Respiratory Medicine. Recurrent topics in Vishal Khivansara's work include RNA modifications and cancer (3 papers), RNA Research and Splicing (3 papers) and CRISPR and Genetic Engineering (2 papers). Vishal Khivansara is often cited by papers focused on RNA modifications and cancer (3 papers), RNA Research and Splicing (3 papers) and CRISPR and Genetic Engineering (2 papers). Vishal Khivansara collaborates with scholars based in United States, Canada and Japan. Vishal Khivansara's co-authors include John K. Kim, Mallory Freeberg, Allison C. Billi, Daniel J. Bernard, Amelia F. Alessi, Pankaj Lamba, Ting Han, Shohei Mitani, Sean J. Morrison and Stacy Y. Kasitinon and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Genes & Development and Endocrinology.

In The Last Decade

Vishal Khivansara

9 papers receiving 341 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vishal Khivansara United States 8 259 81 62 60 39 9 343
Aniek van der Vaart Netherlands 9 238 0.9× 32 0.4× 25 0.4× 19 0.3× 47 1.2× 9 508
W. Merlevede Belgium 11 411 1.6× 39 0.5× 19 0.3× 16 0.3× 65 1.7× 13 514
Anna P. Petrashen United States 4 237 0.9× 92 1.1× 38 0.6× 100 1.7× 9 0.2× 6 394
Marı́a Elena Torres-Padilla France 9 491 1.9× 18 0.2× 32 0.5× 10 0.2× 48 1.2× 10 616
Peter Dietze Germany 6 208 0.8× 39 0.5× 23 0.4× 3 0.1× 36 0.9× 6 334
H. B. D. Prasada Rao India 8 386 1.5× 75 0.9× 23 0.4× 13 0.2× 58 1.5× 14 436
Gaëlle Marteil France 8 189 0.7× 27 0.3× 18 0.3× 6 0.1× 70 1.8× 13 311
Shaun Peterson United States 9 384 1.5× 47 0.6× 61 1.0× 7 0.1× 17 0.4× 11 462
Katsunori Hase Japan 9 195 0.8× 21 0.3× 34 0.5× 10 0.2× 14 0.4× 10 307
Wing Lee Chan Germany 7 221 0.9× 36 0.4× 20 0.3× 14 0.2× 4 0.1× 7 289

Countries citing papers authored by Vishal Khivansara

Since Specialization
Citations

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

Fields of papers citing papers by Vishal Khivansara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vishal Khivansara

This figure shows the co-authorship network connecting the top 25 collaborators of Vishal Khivansara. A scholar is included among the top collaborators of Vishal Khivansara 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 Vishal Khivansara. Vishal Khivansara 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.
Tao, Ye, Min Fang, Shanhai Xie, et al.. (2023). Anticancer benzoxaboroles block pre-mRNA processing by directly inhibiting CPSF3. Cell chemical biology. 31(1). 139–149.e14. 5 indexed citations
2.
Aurora, Arin B., Vishal Khivansara, Jennifer G. Gill, et al.. (2022). Loss of glucose 6-phosphate dehydrogenase function increases oxidative stress and glutaminolysis in metastasizing melanoma cells. Proceedings of the National Academy of Sciences. 119(6). 51 indexed citations
3.
Kasitinon, Stacy Y., Uğur Eskiocak, Misty Martin, et al.. (2019). TRPML1 Promotes Protein Homeostasis in Melanoma Cells by Negatively Regulating MAPK and mTORC1 Signaling. Cell Reports. 28(9). 2293–2305.e9. 42 indexed citations
4.
Chen, Fei, Yu Zhou, Yingchuan Qi, et al.. (2015). Context-dependent modulation of Pol II CTD phosphatase SSUP-72 regulates alternative polyadenylation in neuronal development. Genes & Development. 29(22). 2377–2390. 9 indexed citations
5.
Alessi, Amelia F., Vishal Khivansara, Ting Han, et al.. (2015). Casein kinase II promotes target silencing by miRISC through direct phosphorylation of the DEAD-box RNA helicase CGH-1. Proceedings of the National Academy of Sciences. 112(52). E7213–22. 18 indexed citations
6.
Billi, Allison C., Mallory Freeberg, Amanda Day, et al.. (2013). A Conserved Upstream Motif Orchestrates Autonomous, Germline-Enriched Expression of Caenorhabditis elegans piRNAs. PLoS Genetics. 9(3). e1003392–e1003392. 37 indexed citations
7.
Billi, Allison C., Amelia F. Alessi, Vishal Khivansara, et al.. (2012). The Caenorhabditis elegans HEN1 Ortholog, HENN-1, Methylates and Stabilizes Select Subclasses of Germline Small RNAs. PLoS Genetics. 8(4). e1002617–e1002617. 93 indexed citations
9.
Khivansara, Vishal, et al.. (2007). Bone morphogenetic protein 2 and activin A synergistically stimulate follicle-stimulating hormone β subunit transcription. Journal of Molecular Endocrinology. 38(2). 315–330. 52 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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