Sharathchandra Arandkar

648 total citations
9 papers, 495 citations indexed

About

Sharathchandra Arandkar is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Sharathchandra Arandkar has authored 9 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Oncology and 2 papers in Cancer Research. Recurrent topics in Sharathchandra Arandkar's work include RNA modifications and cancer (6 papers), Cancer-related Molecular Pathways (6 papers) and RNA Research and Splicing (5 papers). Sharathchandra Arandkar is often cited by papers focused on RNA modifications and cancer (6 papers), Cancer-related Molecular Pathways (6 papers) and RNA Research and Splicing (5 papers). Sharathchandra Arandkar collaborates with scholars based in India, Israel and Germany. Sharathchandra Arandkar's co-authors include Saumitra Das, Debjit Khan, Moshe Oren, Richa Grover, Nishanth Belugali Nataraj, Yosef Yarden, Benjamin Geiger, Igor Ulitsky, Noa Furth and Heiko van der Kuip and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Oncogene and Cell Death and Differentiation.

In The Last Decade

Sharathchandra Arandkar

9 papers receiving 493 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sharathchandra Arandkar India 8 379 221 207 56 32 9 495
Margaret Bell United Kingdom 11 435 1.1× 222 1.0× 75 0.4× 88 1.6× 24 0.8× 19 560
Priya Chatterji United States 11 348 0.9× 209 0.9× 195 0.9× 165 2.9× 14 0.4× 16 590
Sanket H. Shah United States 4 218 0.6× 185 0.8× 189 0.9× 58 1.0× 15 0.5× 4 390
Gang-Ming Zou United States 7 314 0.8× 254 1.1× 88 0.4× 67 1.2× 27 0.8× 8 478
Seong-Jun Cho United States 9 327 0.9× 121 0.5× 111 0.5× 46 0.8× 15 0.5× 9 387
Rebecca Resnick United States 7 778 2.1× 152 0.7× 465 2.2× 50 0.9× 32 1.0× 11 904
Christin Ungewiss United States 7 305 0.8× 175 0.8× 215 1.0× 56 1.0× 15 0.5× 8 476
Scott Chartrand United States 5 236 0.6× 93 0.4× 126 0.6× 46 0.8× 14 0.4× 5 368
Marion Gayral France 7 282 0.7× 221 1.0× 204 1.0× 59 1.1× 29 0.9× 7 479
Emily Kantoff United States 4 286 0.8× 321 1.5× 127 0.6× 52 0.9× 21 0.7× 6 478

Countries citing papers authored by Sharathchandra Arandkar

Since Specialization
Citations

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

Fields of papers citing papers by Sharathchandra Arandkar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sharathchandra Arandkar

This figure shows the co-authorship network connecting the top 25 collaborators of Sharathchandra Arandkar. A scholar is included among the top collaborators of Sharathchandra Arandkar 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 Sharathchandra Arandkar. Sharathchandra Arandkar 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.
Mallel, Giuseppe, Nishanth Belugali Nataraj, Michal Shreberk‐Shaked, et al.. (2021). TP53 missense mutations in PDAC are associated with enhanced fibrosis and an immunosuppressive microenvironment. Proceedings of the National Academy of Sciences. 118(23). 72 indexed citations
2.
Fuks, Garold, Suet‐Feung Chin, Oscar M. Rueda, et al.. (2020). Transcriptional profiling reveals a subset of human breast tumors that retain wt TP53 but display mutant p53‐associated features. Molecular Oncology. 14(8). 1640–1652. 7 indexed citations
3.
Arandkar, Sharathchandra, Noa Furth, Nishanth Belugali Nataraj, et al.. (2018). Altered p53 functionality in cancer-associated fibroblasts contributes to their cancer-supporting features. Proceedings of the National Academy of Sciences. 115(25). 6410–6415. 93 indexed citations
4.
Khan, Debjit, et al.. (2015). Reversible induction of translational isoforms of p53 in glucose deprivation. Cell Death and Differentiation. 22(7). 1203–1218. 31 indexed citations
5.
Hotz‐Wagenblatt, Agnes, Jennifer Hüllein, Leopold Sellner, et al.. (2015). p53-dependent non-coding RNA networks in chronic lymphocytic leukemia. Leukemia. 29(10). 2015–2023. 140 indexed citations
6.
Arandkar, Sharathchandra, et al.. (2013). IRES mediated translational regulation of p53 isoforms. Wiley Interdisciplinary Reviews - RNA. 5(1). 131–139. 30 indexed citations
7.
Khan, Debjit, et al.. (2012). Effect of a natural mutation in the 5′ untranslated region on the translational control of p53 mRNA. Oncogene. 32(35). 4148–4159. 31 indexed citations
8.
Arandkar, Sharathchandra, et al.. (2012). Annexin A2 and PSF proteins interact with p53 IRES and regulate translation of p53 mRNA. RNA Biology. 9(12). 1429–1439. 52 indexed citations
9.
Grover, Richa, et al.. (2011). Effect of mutations on the p53 IRES RNA structure: Implications for de-regulation of the synthesis of p53 isoforms. RNA Biology. 8(1). 132–142. 39 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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