Sourav Kalra

2.0k total citations · 1 hit paper
46 papers, 1.6k citations indexed

About

Sourav Kalra is a scholar working on Molecular Biology, Organic Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Sourav Kalra has authored 46 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 16 papers in Organic Chemistry and 8 papers in Computational Theory and Mathematics. Recurrent topics in Sourav Kalra's work include Synthesis and biological activity (10 papers), Computational Drug Discovery Methods (8 papers) and Cancer therapeutics and mechanisms (5 papers). Sourav Kalra is often cited by papers focused on Synthesis and biological activity (10 papers), Computational Drug Discovery Methods (8 papers) and Cancer therapeutics and mechanisms (5 papers). Sourav Kalra collaborates with scholars based in India, United States and Mexico. Sourav Kalra's co-authors include Raj Kumar, Gaurav Joshi, Gaurav Chauhan, Marc Madou, Sergio O. Martínez‐Chapa, Vianni Chopra, Deepa Ghosh, Salman Sadullah Usmani, Pawan Kumar and Ankur Gautam and has published in prestigious journals such as ACS Nano, PLoS ONE and Chemical Communications.

In The Last Decade

Sourav Kalra

45 papers receiving 1.5k citations

Hit Papers

THPdb: Database of FDA-approved peptide and protein thera... 2017 2026 2020 2023 2017 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sourav Kalra India 21 650 420 235 161 140 46 1.6k
Luigi Villa Italy 22 1.1k 1.7× 468 1.1× 122 0.5× 279 1.7× 162 1.2× 53 2.4k
Marko Anderluh Slovenia 26 1.2k 1.8× 774 1.8× 143 0.6× 78 0.5× 190 1.4× 105 2.1k
Philip E.J. Sanderson United States 20 609 0.9× 652 1.6× 301 1.3× 188 1.2× 136 1.0× 37 1.7k
Peng Zhan China 23 766 1.2× 799 1.9× 495 2.1× 192 1.2× 179 1.3× 87 2.1k
Jimin Xu United States 27 1.1k 1.7× 778 1.9× 308 1.3× 100 0.6× 145 1.0× 63 2.4k
Éric Marsault Canada 27 1.3k 2.0× 800 1.9× 156 0.7× 130 0.8× 198 1.4× 81 2.7k
Xiangqian Kong China 24 1.2k 1.8× 257 0.6× 131 0.6× 176 1.1× 195 1.4× 77 1.9k
Laurent Fraisse France 20 338 0.5× 356 0.8× 133 0.6× 133 0.8× 166 1.2× 34 1.1k
Jiaqi Xiao China 23 575 0.9× 752 1.8× 111 0.5× 76 0.5× 191 1.4× 37 1.7k
Walter E. DeWolf United States 26 984 1.5× 620 1.5× 119 0.5× 108 0.7× 163 1.2× 50 1.9k

Countries citing papers authored by Sourav Kalra

Since Specialization
Citations

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

Fields of papers citing papers by Sourav Kalra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sourav Kalra

This figure shows the co-authorship network connecting the top 25 collaborators of Sourav Kalra. A scholar is included among the top collaborators of Sourav Kalra 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 Sourav Kalra. Sourav Kalra 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.
Choudhary, Diksha, Pooja A. Chawla, Rajwinder Kaur, et al.. (2024). Exploration of oxadiazole clubbed benzhydrylpiperazine pharmacophoric features as structural feature for antidepressant activity: In vitro, in vivo and in silico analysis. Bioorganic Chemistry. 144. 107148–107148. 5 indexed citations
2.
Kalra, Sourav, et al.. (2022). Identification of potential inhibitors of Zika virus targeting NS3 helicase using molecular dynamics simulations and DFT studies. Molecular Diversity. 27(4). 1689–1701. 6 indexed citations
4.
Arora, Sahil, et al.. (2021). Rationalization of the activity Profile of Pyruvate Kinase Isozyme M2 (PKM2) Inhibitors using 3D QSAR. Current Topics in Medicinal Chemistry. 21(25). 2258–2271. 4 indexed citations
5.
Kumari, Puja, et al.. (2020). Is highly expressed ACE 2 in pregnant women “a curse” in times of COVID-19 pandemic?. Life Sciences. 264. 118676–118676. 29 indexed citations
6.
Kumar, Devendra, Sahil Sharma, Sourav Kalra, et al.. (2020). Medicinal Perspective of Indole Derivatives: Recent Developments and Structure-Activity Relationship Studies. Current Drug Targets. 21(9). 864–891. 64 indexed citations
7.
Chauhan, Gaurav, Marc Madou, Sourav Kalra, et al.. (2020). Nanotechnology for COVID-19: Therapeutics and Vaccine Research. ACS Nano. 14(7). 7760–7782. 273 indexed citations
8.
Kumar, Devendra, Gaurav Chauhan, Sourav Kalra, Bhupinder Kumar, & Manjinder Singh Gill. (2020). A perspective on potential target proteins of COVID-19: Comparison with SARS-CoV for designing new small molecules. Bioorganic Chemistry. 104. 104326–104326. 18 indexed citations
9.
Joshi, Gaurav, Umesh Prasad Yadav, Antim K. Maurya, et al.. (2019). Exploration of Pd-catalysed four-component tandem reaction for one-pot assembly of pyrazolo[1,5-c]quinazolines as potential EGFR inhibitors. Bioorganic Chemistry. 93. 103314–103314. 21 indexed citations
10.
Narang, Rakesh, Raj Kumar, Sourav Kalra, et al.. (2019). Recent advancements in mechanistic studies and structure activity relationship of FoF1 ATP synthase inhibitor as antimicrobial agent. European Journal of Medicinal Chemistry. 182. 111644–111644. 26 indexed citations
11.
Kalra, Sourav, et al.. (2018). A histological assessment of effects of sucralose on liver of albino rats. Morphologie. 102(338). 197–204. 17 indexed citations
12.
Kalra, Sourav, et al.. (2018). Association of CYP2C19*2 and ALDH1A1*1/*2 variants with disease outcome in breast cancer patients: results of a global screening array. European Journal of Clinical Pharmacology. 74(10). 1291–1298. 15 indexed citations
14.
Kalra, Sourav, Gaurav Joshi, Anjana Munshi, & Raj Kumar. (2017). Structural insights of cyclin dependent kinases: Implications in design of selective inhibitors. European Journal of Medicinal Chemistry. 142. 424–458. 62 indexed citations
15.
Kalra, Sourav, et al.. (2017). Role of Genomic Alterations in HER2 Positive Breast Carcinoma: Focus on Susceptibility and Trastuzumab-therapy. Current Cancer Drug Targets. 17(4). 344–356. 11 indexed citations
16.
Kalra, Sourav, et al.. (2014). Coexistence of anomalies in the termination of facial artery and the origin of transverse facial artery. A case report. Journal of Morphological Sciences. 31(1). 67–69.
17.
Choudhry, S., et al.. (2005). Unusual features associated with cranial openings of optic canal in dry adult human skulls. Surgical and Radiologic Anatomy. 27(5). 455–458. 2 indexed citations
18.
Upponi, Sara, et al.. (2001). The significance of intramammary nodes in primary breast cancer. European Journal of Surgical Oncology. 27(8). 707–708. 14 indexed citations
19.
Usha, R., et al.. (1990). Management of Cyclical Menorrhagia with Prostaglandin Synthetase Inhibitor. Asia-Oceania Journal of Obstetrics and Gynaecology. 16(3). 255–259. 22 indexed citations
20.
Chanock, Robert M., et al.. (1967). WHO respiratory disease survey in children: a serological study.. PubMed. 37(3). 363–9. 27 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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