Sonam Grover

1.5k total citations
65 papers, 1.1k citations indexed

About

Sonam Grover is a scholar working on Molecular Biology, Infectious Diseases and Computational Theory and Mathematics. According to data from OpenAlex, Sonam Grover has authored 65 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 34 papers in Infectious Diseases and 16 papers in Computational Theory and Mathematics. Recurrent topics in Sonam Grover's work include Tuberculosis Research and Epidemiology (30 papers), Computational Drug Discovery Methods (16 papers) and Cancer therapeutics and mechanisms (13 papers). Sonam Grover is often cited by papers focused on Tuberculosis Research and Epidemiology (30 papers), Computational Drug Discovery Methods (16 papers) and Cancer therapeutics and mechanisms (13 papers). Sonam Grover collaborates with scholars based in India, United Kingdom and United States. Sonam Grover's co-authors include Abhinav Grover, Salma Jamal, Aditi Singh, Sukriti Goyal, Seyed E. Hasnain, Nasreen Z. Ehtesham, Chetna Tyagi, Bharati Pandey, Jaspreet Kaur Dhanjal and Anchala Kumari and has published in prestigious journals such as PLoS ONE, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Sonam Grover

60 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sonam Grover India 22 659 459 271 199 105 65 1.1k
Abbas Khan China 21 1.0k 1.6× 514 1.1× 187 0.7× 379 1.9× 202 1.9× 115 1.8k
Florence Leroux France 15 502 0.8× 263 0.6× 138 0.5× 167 0.8× 32 0.3× 42 876
Salma Jamal India 20 663 1.0× 243 0.5× 92 0.3× 307 1.5× 62 0.6× 64 1.1k
Pedro Henrique Monteiro Torres Brazil 17 450 0.7× 310 0.7× 250 0.9× 239 1.2× 123 1.2× 44 1.2k
Mili Kapoor India 24 717 1.1× 376 0.8× 317 1.2× 89 0.4× 159 1.5× 38 1.4k
Valentyn Oksenych Norway 21 1.4k 2.2× 310 0.7× 200 0.7× 106 0.5× 249 2.4× 108 2.1k
Leo Einck United States 21 847 1.3× 735 1.6× 519 1.9× 73 0.4× 125 1.2× 36 1.6k
Syed Asad Rahman United Kingdom 20 794 1.2× 278 0.6× 156 0.6× 199 1.0× 80 0.8× 32 1.2k
Vinayak Singh South Africa 21 559 0.8× 518 1.1× 250 0.9× 101 0.5× 52 0.5× 51 1.1k

Countries citing papers authored by Sonam Grover

Since Specialization
Citations

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

Fields of papers citing papers by Sonam Grover

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sonam Grover

This figure shows the co-authorship network connecting the top 25 collaborators of Sonam Grover. A scholar is included among the top collaborators of Sonam Grover 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 Sonam Grover. Sonam Grover 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, Digvijay, et al.. (2024). Identification and characterization of repurposed small molecule inhibitors of Mycobacterium tuberculosis caseinolytic protease B (ClpB) as anti-mycobacterials. International Journal of Biological Macromolecules. 264(Pt 1). 130614–130614.
2.
3.
Sharma, Rahul, et al.. (2024). Redesigning the kinetics of lysozyme amyloid aggregation by cephalosporin molecules. Journal of Biomolecular Structure and Dynamics. 43(18). 10426–10441. 3 indexed citations
4.
5.
Ali, Asghar, et al.. (2024). Structural inscrutabilities of Histone (H2BK123) monoubiquitination: A systematic review. International Journal of Biological Macromolecules. 280(Pt 3). 135977–135977.
6.
Jamal, Salma, et al.. (2023). Unravelling the potential of Triflusal as an anti-TB repurposed drug by targeting replication protein DciA. Microbes and Infection. 26(3). 105284–105284. 4 indexed citations
7.
Sharma, Rahul, Vikrant Singh Rajput, Salma Jamal, Abhinav Grover, & Sonam Grover. (2021). Author Correction: An immunoinformatics approach to design a multi-epitope vaccine against Mycobacterium tuberculosis exploiting secreted exosome proteins. Scientific Reports. 11(1). 16844–16844. 2 indexed citations
8.
Jamal, Salma, et al.. (2020). Artificial Intelligence and Machine learning based prediction of resistant and susceptible mutations in Mycobacterium tuberculosis. Scientific Reports. 10(1). 5487–5487. 58 indexed citations
9.
Singh, Aditi, et al.. (2019). Structural basis for isoniazid resistance in KatG double mutants of Mycobacterium tuberculosis. Microbial Pathogenesis. 129. 152–160. 4 indexed citations
10.
Jamal, Salma, Abhinav Grover, & Sonam Grover. (2019). Machine Learning From Molecular Dynamics Trajectories to Predict Caspase-8 Inhibitors Against Alzheimer’s Disease. Frontiers in Pharmacology. 10. 780–780. 46 indexed citations
11.
Singh, Aishwarya, Aditi Singh, Sonam Grover, et al.. (2017). Wild-type catalase peroxidase vs G279D mutant type: Molecular basis of Isoniazid drug resistance in Mycobacterium tuberculosis. Gene. 641. 226–234. 14 indexed citations
12.
Verma, Sharad, Sonam Grover, Chetna Tyagi, et al.. (2016). Hydrophobic Interactions Are a Key to MDM2 Inhibition by Polyphenols as Revealed by Molecular Dynamics Simulations and MM/PBSA Free Energy Calculations. PLoS ONE. 11(2). e0149014–e0149014. 77 indexed citations
13.
Hasnain, Seyed E., Ronan O’Toole, Sonam Grover, & Nasreen Z. Ehtesham. (2014). Whole genome sequencing: A new paradigm in the surveillance and control of human tuberculosis. Tuberculosis. 95(2). 91–94. 24 indexed citations
14.
Goyal, Sukriti, et al.. (2014). Group-based QSAR and molecular dynamics mechanistic analysis revealing the mode of action of novel piperidinone derived protein–protein inhibitors of p53-MDM2. Journal of Molecular Graphics and Modelling. 51. 64–72. 15 indexed citations
15.
Grover, Sonam, et al.. (2014). Expression and Secretion of Wild Type and Mutant GNE Proteins in Dictyostelium discoideum. CNS & Neurological Disorders - Drug Targets. 13(7). 1263–1272. 7 indexed citations
16.
Grover, Sonam, et al.. (2014). Generation of protective immune response against anthrax by oral immunization with protective antigen plant-based vaccine. Journal of Biotechnology. 176. 1–10. 37 indexed citations
17.
Goyal, Sukriti, Sonam Grover, Jaspreet Kaur Dhanjal, et al.. (2014). Mechanistic insights into mode of actions of novel oligopeptidase B inhibitors for combating leishmaniasis. Journal of Molecular Modeling. 20(3). 2099–2099. 16 indexed citations
18.
Dhiman, Heena, Jaspreet Kaur Dhanjal, Sudhanshu Sharma, et al.. (2013). Resisting resistant Mycobacterium tuberculosis naturally: Mechanistic insights into the inhibition of the parasite’s sole signal peptidase Leader peptidase B. Biochemical and Biophysical Research Communications. 433(4). 552–557. 6 indexed citations
19.
Chopra, Puneet, Tarun Jain, Manish Kumar Jain, et al.. (2009). Human spleen tyrosine kinase (Syk) recombinant expression systems for high‐throughput assays. Biotechnology Journal. 5(2). 201–212. 4 indexed citations
20.
Grover, Sonam, et al.. (1993). Serodiagnosis of extrapulmonary tuberculosis by ELISA.. PubMed. 36(4). 356–60. 6 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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