Sunil Kumar Singh

2.0k total citations
56 papers, 1.5k citations indexed

About

Sunil Kumar Singh is a scholar working on Molecular Biology, Organic Chemistry and Pharmacology. According to data from OpenAlex, Sunil Kumar Singh has authored 56 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 17 papers in Organic Chemistry and 11 papers in Pharmacology. Recurrent topics in Sunil Kumar Singh's work include Inflammatory mediators and NSAID effects (10 papers), Synthesis and biological activity (9 papers) and Melanoma and MAPK Pathways (8 papers). Sunil Kumar Singh is often cited by papers focused on Inflammatory mediators and NSAID effects (10 papers), Synthesis and biological activity (9 papers) and Melanoma and MAPK Pathways (8 papers). Sunil Kumar Singh collaborates with scholars based in India, United States and Denmark. Sunil Kumar Singh's co-authors include A. K. Bajpai, Jaya Bajpai, Vivek Sharma, Raman K. Sharma, Ruchi Roy, Anamika Roy, Premendra D. Dwivedi, Mukul Das, Sandeep Kumar and Basabi Rana and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Oncogene.

In The Last Decade

Sunil Kumar Singh

54 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sunil Kumar Singh India 21 482 408 192 143 136 56 1.5k
Maria Cláudia Santos‐Silva Brazil 22 439 0.9× 291 0.7× 178 0.9× 99 0.7× 259 1.9× 85 1.3k
Ching‐Yun Hsu Taiwan 23 477 1.0× 289 0.7× 144 0.8× 143 1.0× 83 0.6× 56 1.4k
Majid Mahdavi Iran 24 710 1.5× 450 1.1× 156 0.8× 149 1.0× 166 1.2× 98 1.7k
Rong Liu China 22 794 1.6× 288 0.7× 235 1.2× 89 0.6× 307 2.3× 79 1.8k
Masanobu Shiga Japan 15 806 1.7× 216 0.5× 210 1.1× 99 0.7× 83 0.6× 60 1.9k
Zhixiang Yuan China 28 869 1.8× 324 0.8× 241 1.3× 152 1.1× 357 2.6× 85 2.2k
Diptiman Choudhury India 20 400 0.8× 151 0.4× 144 0.8× 211 1.5× 113 0.8× 62 1.3k
Thomas Dahl United States 16 417 0.9× 293 0.7× 255 1.3× 220 1.5× 69 0.5× 44 1.5k
Spiro Konstantinov Bulgaria 29 782 1.6× 616 1.5× 126 0.7× 219 1.5× 288 2.1× 110 2.0k
Devendra Kumar Pandey India 14 480 1.0× 174 0.4× 229 1.2× 255 1.8× 188 1.4× 49 1.5k

Countries citing papers authored by Sunil Kumar Singh

Since Specialization
Citations

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

Fields of papers citing papers by Sunil Kumar Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sunil Kumar Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Sunil Kumar Singh. A scholar is included among the top collaborators of Sunil Kumar Singh 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 Kumar Singh. Sunil Kumar Singh 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.
Singh, Sunil Kumar, H. P. Vyas, Periannan Sethupathi, et al.. (2024). Protease activated receptor-1 regulates mixed lineage kinase-3 to drive triple-negative breast cancer tumorigenesis. Cancer Letters. 603. 217200–217200. 1 indexed citations
2.
Roy, Ruchi & Sunil Kumar Singh. (2024). The Microbiome Modulates the Immune System to Influence Cancer Therapy. Cancers. 16(4). 779–779. 8 indexed citations
3.
Nair, Rakesh Sathish, Sandeep Kumar, Subhasis Das, et al.. (2023). TrkA expression directs the anti-neoplastic activity of MLK3 inhibitors in triple-negative breast cancer. Oncogene. 42(14). 1132–1143. 14 indexed citations
4.
Yadav, Akhilesh Kumar, et al.. (2022). ASSESSMENT OF LAPAROSCOPIC APPENDECTOMY IN PATIENTS OF COMPLICATED APPENDICITIS IN TERTIARY CARE TEACHING HOSPITAL OF CENTRAL INDIA. Asian Journal of Pharmaceutical and Clinical Research. 164–166. 1 indexed citations
5.
Vishnoi, Kanchan, Rong Ke, Navin Viswakarma, et al.. (2022). Ets1 mediates sorafenib resistance by regulating mitochondrial ROS pathway in hepatocellular carcinoma. Cell Death and Disease. 13(7). 581–581. 24 indexed citations
6.
Viswakarma, Navin, Gautam Sondarva, Daniel R. Principe, et al.. (2021). Mixed Lineage Kinase 3 phosphorylates prolyl-isomerase PIN1 and potentiates GLI1 signaling in pancreatic cancer development. Cancer Letters. 515. 1–13. 17 indexed citations
7.
Kumar, Sandeep, Sunil Kumar Singh, Navin Viswakarma, et al.. (2020). Mixed lineage kinase 3 inhibition induces T cell activation and cytotoxicity. Proceedings of the National Academy of Sciences. 117(14). 7961–7970. 17 indexed citations
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Singh, Sunil Kumar, et al.. (2016). Mefloquine induces ROS mediated programmed cell death in malaria parasite: Plasmodium. APOPTOSIS. 21(9). 955–964. 38 indexed citations
11.
Pandey, Swaroop Kumar, Sunil Kumar Singh, Kumkum Srivastava, et al.. (2016). Pyrrolidine-Acridine hybrid in Artemisinin-based combination: a pharmacodynamic study. Parasitology. 143(11). 1421–1432. 5 indexed citations
12.
Shukla, Sanjeev K., Abhisheak Sharma, Swati Jaiswal, et al.. (2015). Identification of β-Amino alcohol grafted 1,4,5 trisubstituted 1,2,3-triazoles as potent antimalarial agents. European Journal of Medicinal Chemistry. 109. 187–198. 30 indexed citations
13.
Prasad, Ashok K., et al.. (2007). Novel Selective Biocatalytic Deacylation Studies on Key Precursors for Bicyclonucleosides. Nucleosides Nucleotides & Nucleic Acids. 26(10-12). 1517–1521. 2 indexed citations
14.
Singh, Sunil Kumar, et al.. (2006). Pharmacophoric 2-hydroxyalkyl benzenesulfonamide: A single-step synthesis from benzenesulfonamide via hemiaminal. European Journal of Medicinal Chemistry. 42(4). 456–462. 7 indexed citations
15.
Singh, Sunil Kumar, Srinivasa Raju Datla, Rao N. V. S. Mamidi, et al.. (2006). Identification of 2-hydroxymethyl-4-[5-(4-methoxyphenyl)-3-trifluoromethyl-pyrazol-1-yl]-N-propionylbenzenesulfonamide sodium as a potential COX-2 inhibitor for oral and parenteral administration. Bioorganic & Medicinal Chemistry. 14(24). 8626–8634. 3 indexed citations
16.
Singh, Sunil Kumar, et al.. (2004). Methanesulfonamide group at position-4 of the C-5-phenyl ring of 1,5-diarylpyrazole affords a potent class of cyclooxygenase-2 (COX-2) inhibitors. Bioorganic & Medicinal Chemistry Letters. 14(7). 1683–1688. 28 indexed citations
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Mullangi, Ramesh, et al.. (2003). Oral bioavailability and pharmacokinetics of DRF-4367, a new cox-2 inhibitor in rats. European Journal of Drug Metabolism and Pharmacokinetics. 28(2). 137–141. 9 indexed citations
19.
Singh, Sunil Kumar, P. Ganapati Reddy, K. Srinivasa Rao, et al.. (2003). Polar substitutions in the benzenesulfonamide ring of celecoxib afford a potent 1,5-diarylpyrazole class of COX-2 inhibitors. Bioorganic & Medicinal Chemistry Letters. 14(2). 499–504. 126 indexed citations
20.
Mamidi, Rao N. V. S., Ramesh Mullangi, Ansar A. Khan, et al.. (2002). Pharmacological and pharmacokinetic evaluation of celecoxib prodrugs in rats. Biopharmaceutics & Drug Disposition. 23(7). 273–282. 26 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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