Sharmila Shankar

11.2k total citations · 1 hit paper
101 papers, 9.0k citations indexed

About

Sharmila Shankar is a scholar working on Molecular Biology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Sharmila Shankar has authored 101 papers receiving a total of 9.0k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Molecular Biology, 40 papers in Oncology and 15 papers in Pathology and Forensic Medicine. Recurrent topics in Sharmila Shankar's work include Epigenetics and DNA Methylation (22 papers), Hedgehog Signaling Pathway Studies (20 papers) and Cancer Cells and Metastasis (17 papers). Sharmila Shankar is often cited by papers focused on Epigenetics and DNA Methylation (22 papers), Hedgehog Signaling Pathway Studies (20 papers) and Cancer Cells and Metastasis (17 papers). Sharmila Shankar collaborates with scholars based in United States, India and China. Sharmila Shankar's co-authors include Rohit Srivastava, Brahma N. Singh, Dhruv Kumar, Qinghe Chen, Su‐Ni Tang, Sanjit K. Roy, Junsheng Fu, Thiyam Ramsing Singh, Suthakar Ganapathy and Karan P. Singh and has published in prestigious journals such as PLoS ONE, Cancer Research and Bioresource Technology.

In The Last Decade

Sharmila Shankar

99 papers receiving 8.9k citations

Hit Papers

Green tea catechin, epiga... 2011 2026 2016 2021 2011 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sharmila Shankar United States 56 5.7k 2.2k 1.5k 1.4k 820 101 9.0k
Muthu K. Shanmugam Singapore 62 6.7k 1.2× 2.5k 1.2× 1.2k 0.8× 2.0k 1.4× 744 0.9× 106 11.7k
Levy Kopelovich United States 50 4.8k 0.8× 2.5k 1.2× 1.2k 0.8× 1.8k 1.2× 814 1.0× 214 9.2k
Sanjeev Banerjee United States 57 6.8k 1.2× 3.4k 1.6× 954 0.7× 2.8k 2.0× 364 0.4× 106 11.0k
Chapla Agarwal United States 58 5.3k 0.9× 1.3k 0.6× 715 0.5× 1.5k 1.1× 463 0.6× 178 9.4k
Shivendra V. Singh United States 65 6.6k 1.2× 1.3k 0.6× 808 0.6× 1.1k 0.8× 563 0.7× 219 10.6k
Vaqar M. Adhami United States 62 4.4k 0.8× 1.2k 0.5× 2.0k 1.4× 1.0k 0.7× 356 0.4× 122 10.3k
Yasunari Takada United States 39 5.0k 0.9× 1.5k 0.7× 453 0.3× 1.7k 1.2× 636 0.8× 58 9.1k
Kwang Seok Ahn South Korea 77 10.5k 1.8× 3.7k 1.7× 1.9k 1.3× 3.1k 2.2× 1.2k 1.5× 361 19.0k
Yiwei Li United States 55 7.0k 1.2× 3.9k 1.8× 1.4k 0.9× 3.6k 2.5× 410 0.5× 135 11.3k
Jae‐Young Um South Korea 45 3.5k 0.6× 861 0.4× 666 0.5× 845 0.6× 781 1.0× 263 7.5k

Countries citing papers authored by Sharmila Shankar

Since Specialization
Citations

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

Fields of papers citing papers by Sharmila Shankar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sharmila Shankar

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

All Works

20 of 20 papers shown
2.
Roy, Sanjit K., et al.. (2023). Inhibition of ribosome assembly factor PNO1 by CRISPR/Cas9 technique suppresses lung adenocarcinoma and Notch pathway: Clinical application. Journal of Cellular and Molecular Medicine. 27(3). 365–378. 7 indexed citations
3.
Roy, Sanjit K., Yiming Ma, Bao Lam, et al.. (2022). Riluzole regulates pancreatic cancer cell metabolism by suppressing the Wnt-β-catenin pathway. Scientific Reports. 12(1). 11062–11062. 13 indexed citations
4.
Danos, Denise, Claudia Leonardi, Sharmila Shankar, et al.. (2018). Increased Risk of Hepatocellular Carcinoma Associated With Neighborhood Concentrated Disadvantage. Frontiers in Oncology. 8. 375–375. 18 indexed citations
5.
Yu, Wei, Yiming Ma, Sharmila Shankar, & Rohit Srivastava. (2017). SATB2/β-catenin/TCF-LEF pathway induces cellular transformation by generating cancer stem cells in colorectal cancer. Scientific Reports. 7(1). 44 indexed citations
6.
Verma, Raj Kumar, Wei Yu, Anju Shrivastava, Sharmila Shankar, & Rohit Srivastava. (2016). α-Mangostin-encapsulated PLGA nanoparticles inhibit pancreatic carcinogenesis by targeting cancer stem cells in human, and transgenic (KrasG12D, and KrasG12D/tp53R270H) mice. Scientific Reports. 6(1). 32743–32743. 66 indexed citations
7.
Sharma, N. K., Jay Sharma, Sumedha Gunewardena, et al.. (2015). PI3K/AKT/mTOR and sonic hedgehog pathways cooperate together to inhibit human pancreatic cancer stem cell characteristics and tumor growth. Oncotarget. 6(31). 32039–32060. 131 indexed citations
8.
Verma, Raj Kumar, et al.. (2015). Anthothecol-encapsulated PLGA nanoparticles inhibit pancreatic cancer stem cell growth by modulating sonic hedgehog pathway. Nanomedicine Nanotechnology Biology and Medicine. 11(8). 2061–2070. 59 indexed citations
9.
Ganesh, Amal, et al.. (2014). A study on fault tolerance methods in Cloud Computing. 844–849. 47 indexed citations
10.
Kumar, Dhruv, Sharmila Shankar, & Rohit Srivastava. (2013). Rottlerin-induced autophagy leads to the apoptosis in breast cancer stem cells: molecular mechanisms. Molecular Cancer. 12(1). 171–171. 118 indexed citations
11.
13.
Shankar, Sharmila, Rachel Davis, Karan P. Singh, et al.. (2009). Suberoylanilide hydroxamic acid (Zolinza/vorinostat) sensitizes TRAIL-resistant breast cancer cells orthotopically implanted in BALB/c nude mice. Molecular Cancer Therapeutics. 8(6). 1596–1605. 51 indexed citations
14.
Fandy, Tamer E., Sharmila Shankar, & Rohit Srivastava. (2008). Smac/DIABLO enhances the therapeutic potential of chemotherapeutic drugs and irradiation, and sensitizes TRAIL-resistant breast cancer cells. Molecular Cancer. 7(1). 60–60. 58 indexed citations
15.
Shankar, Sharmila, Suthakar Ganapathy, Qinghe Chen, & Rohit Srivastava. (2008). Curcumin sensitizes TRAIL-resistant xenografts: molecular mechanisms of apoptosis, metastasis and angiogenesis. Molecular Cancer. 7(1). 16–16. 125 indexed citations
16.
Shankar, Sharmila. (2007). Green tea polyphenols: biology and therapeutic implications in cancer. Frontiers in bioscience. 12(12). 4881–4881. 145 indexed citations
17.
Shankar, Sharmila, Qinghe Chen, Krishna Sarva, Imtiaz A. Siddiqui, & Rohit Srivastava. (2007). Curcumin enhances the apoptosis-inducing potential of TRAIL in prostate cancer cells: molecular mechanisms of apoptosis, migration and angiogenesis. PubMed. 2. 10–10. 108 indexed citations
18.
Shankar, Sharmila & Rohit Srivastava. (2004). Enhancement of therapeutic potential of TRAIL by cancer chemotherapy and irradiation: mechanisms and clinical implications. Drug Resistance Updates. 7(2). 139–156. 194 indexed citations
19.
Shankar, Sharmila, Thiyam Ramsing Singh, & Rohit Srivastava. (2004). Ionizing radiation enhances the therapeutic potential of TRAIL in prostate cancer in vitro and in vivo: Intracellular mechanisms. The Prostate. 61(1). 35–49. 92 indexed citations
20.
Singh, Thiyam Ramsing, et al.. (2003). Synergistic interactions of chemotherapeutic drugs and tumor necrosis factor-related apoptosis-inducing ligand/Apo-2 ligand on apoptosis and on regression of breast carcinoma in vivo.. PubMed. 63(17). 5390–400. 211 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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