Sunil Upadhyay

4.1k total citations
68 papers, 3.2k citations indexed

About

Sunil Upadhyay is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Sunil Upadhyay has authored 68 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 18 papers in Oncology and 14 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Sunil Upadhyay's work include Cancer-related Molecular Pathways (8 papers), Epigenetics and DNA Methylation (7 papers) and Atomic and Subatomic Physics Research (6 papers). Sunil Upadhyay is often cited by papers focused on Cancer-related Molecular Pathways (8 papers), Epigenetics and DNA Methylation (7 papers) and Atomic and Subatomic Physics Research (6 papers). Sunil Upadhyay collaborates with scholars based in United States, India and United Kingdom. Sunil Upadhyay's co-authors include Fazlul H. Sarkar, David Sidransky, Yiwei Li, Mohammad Obaidul Hoque, Richard J. Auchus, Sreenivasa R. Chinni, Motonobu Osada, Pradeep Koppolu, Mohammad Alyamani and Nima Sharifi and has published in prestigious journals such as Nature, Physical Review Letters and Journal of Clinical Investigation.

In The Last Decade

Sunil Upadhyay

62 papers receiving 3.1k citations

Peers

Sunil Upadhyay
Jeffrey Stevens United States
Gillian Smith United Kingdom
Kevin R. Kozak United States
David M. Vigushin United Kingdom
Robert H. Weiss United States
Joy C. Yang United States
Sook Wah Yee United States
Jeffrey Stevens United States
Sunil Upadhyay
Citations per year, relative to Sunil Upadhyay Sunil Upadhyay (= 1×) peers Jeffrey Stevens

Countries citing papers authored by Sunil Upadhyay

Since Specialization
Citations

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

Fields of papers citing papers by Sunil Upadhyay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sunil Upadhyay

This figure shows the co-authorship network connecting the top 25 collaborators of Sunil Upadhyay. A scholar is included among the top collaborators of Sunil Upadhyay 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 Sunil Upadhyay. Sunil Upadhyay 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
1.
Upadhyay, Sunil, et al.. (2024). Impact on growth characteristics and yield of chickpea (Cicer arietinum L.) under different FYM and NPK levels in vertisols. International Journal of Research in Agronomy. 7(12). 106–112.
3.
Upadhyay, Sunil, et al.. (2023). Enhancing Soil Degradation Assessment through the Integration of GIS and RS: A Comprehensive Review. International Journal of Environment and Climate Change. 13(9). 2622–2632. 1 indexed citations
4.
Upadhyay, Sunil, et al.. (2020). Ultralong Spin-Coherence Times for Rubidium Atoms in Solid Parahydrogen via Dynamical Decoupling. Physical Review Letters. 125(4). 43601–43601. 10 indexed citations
5.
Lee, Siow Ming, Sunil Upadhyay, C. Lewanski, et al.. (2019). The clinical role of VeriStrat testing in patients with advanced non–small cell lung cancer considered unfit for first-line platinum-based chemotherapy. European Journal of Cancer. 120. 86–96. 5 indexed citations
6.
Alyamani, Mohammad, Zhenfei Li, Michael Berk, et al.. (2017). Steroidogenic Metabolism of Galeterone Reveals a Diversity of Biochemical Activities. Cell chemical biology. 24(7). 825–832.e6. 37 indexed citations
7.
Alyamani, Mohammad, Zhenfei Li, Sunil Upadhyay, et al.. (2016). Development and validation of a novel LC–MS/MS method for simultaneous determination of abiraterone and its seven steroidal metabolites in human serum: Innovation in separation of diastereoisomers without use of a chiral column. The Journal of Steroid Biochemistry and Molecular Biology. 172. 231–239. 27 indexed citations
8.
Li, Zhenfei, Andrew C. Bishop, Mohammad Alyamani, et al.. (2015). Conversion of abiraterone to D4A drives anti-tumour activity in prostate cancer. Nature. 523(7560). 347–351. 205 indexed citations
9.
Periyasamy‐Thandavan, Sudharsan, Samuel Herberg, Phonepasong Arounleut, et al.. (2015). Caloric restriction and the adipokine leptin alter the SDF-1 signaling axis in bone marrow and in bone marrow derived mesenchymal stem cells. Molecular and Cellular Endocrinology. 410. 64–72. 12 indexed citations
10.
Nicolson, M., Dean A. Fennell, David Ferry, et al.. (2013). Thymidylate Synthase Expression and Outcome of Patients Receiving Pemetrexed for Advanced Nonsquamous Non–Small-Cell Lung Cancer in a Prospective Blinded Assessment Phase II Clinical Trial. Journal of Thoracic Oncology. 8(7). 930–939. 49 indexed citations
12.
Dasgupta, Santanu, Mohammad Obaidul Hoque, Sunil Upadhyay, & David Sidransky. (2008). Mitochondrial Cytochrome B Gene Mutation Promotes Tumor Growth in Bladder Cancer. Cancer Research. 68(3). 700–706. 105 indexed citations
13.
Huang, Yiping, Tanusree Sen, Jatin Nagpal, et al.. (2008). ATM kinase is a master switch for the ΔNp63α phosphorylation/degradation in human head and neck squamous cell carcinoma cells upon DNA damage. Cell Cycle. 7(18). 2846–2855. 43 indexed citations
14.
Chatterjee, Aditi, Sunil Upadhyay, Xiaofei Chang, et al.. (2008). U-box-type ubiquitin E4 ligase, UFD2a attenuates cisplatin mediated degradation of ΔNp63α. Cell Cycle. 7(9). 1231–1237. 34 indexed citations
15.
Upadhyay, Sunil, Chunyan Liu, Mohammad Obaidul Hoque, et al.. (2006). LKB1/STK11 Suppresses Cyclooxygenase-2 Induction and Cellular Invasion through PEA3 in Lung Cancer. Cancer Research. 66(16). 7870–7879. 37 indexed citations
16.
Kim, Myoung Sook, Keishi Yamashita, Jin Hyen Baek, et al.. (2006). N- Methyl- d -Aspartate Receptor Type 2B Is Epigenetically Inactivated and Exhibits Tumor-Suppressive Activity in Human Esophageal Cancer. Cancer Research. 66(7). 3409–3418. 93 indexed citations
17.
Sommer, Matthias, Nina Poliak, Sunil Upadhyay, et al.. (2006). ΔNp63&alpha Overexpression Induces Downregulation of Sirt1 and an Accelerated Aging Phenotype in the Mouse. Cell Cycle. 5(17). 2005–2011. 72 indexed citations
18.
Wu, Guojun, Motonobu Osada, Zhongmin Guo, et al.. (2005). ΔNp63α Up-Regulates the Hsp70 Gene in Human Cancer. Cancer Research. 65(3). 758–766. 88 indexed citations
19.
Yamashita, Keishi, Sunil Upadhyay, Motonobu Osada, et al.. (2002). Pharmacologic unmasking of epigenetically silenced tumor suppressor genes in esophageal squamous cell carcinoma. Cancer Cell. 2(6). 485–495. 283 indexed citations
20.
Chinni, Sreenivasa R., Yiwei Li, Sunil Upadhyay, Pradeep Koppolu, & Fazlul H. Sarkar. (2001). Indole-3-carbinol (I3C) induced cell growth inhibition, G1 cell cycle arrest and apoptosis in prostate cancer cells. Oncogene. 20(23). 2927–2936. 269 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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