Sakshi Piplani

541 total citations
22 papers, 342 citations indexed

About

Sakshi Piplani is a scholar working on Infectious Diseases, Molecular Biology and Epidemiology. According to data from OpenAlex, Sakshi Piplani has authored 22 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Infectious Diseases, 7 papers in Molecular Biology and 6 papers in Epidemiology. Recurrent topics in Sakshi Piplani's work include SARS-CoV-2 and COVID-19 Research (8 papers), Computational Drug Discovery Methods (6 papers) and Influenza Virus Research Studies (4 papers). Sakshi Piplani is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (8 papers), Computational Drug Discovery Methods (6 papers) and Influenza Virus Research Studies (4 papers). Sakshi Piplani collaborates with scholars based in Australia, India and United Kingdom. Sakshi Piplani's co-authors include Nikolai Petrovsky, Puneet Kumar Singh, David A. Winkler, Jeremy Baldwin, Deepak B. Salunke, Yoshikazu Honda‐Okubo, Sunil Thomas, Ajit Kumar, Lei Li and Arshpreet Kaur and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and Journal of Medicinal Chemistry.

In The Last Decade

Sakshi Piplani

22 papers receiving 331 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sakshi Piplani Australia 10 138 122 92 57 33 22 342
Daniela Meyer Germany 6 169 1.2× 75 0.6× 76 0.8× 147 2.6× 31 0.9× 7 346
Tianhong Zhang China 12 174 1.3× 159 1.3× 58 0.6× 80 1.4× 49 1.5× 13 420
Shuqi Xiao China 11 183 1.3× 86 0.7× 44 0.5× 46 0.8× 42 1.3× 18 450
Saira Hussain United Kingdom 11 146 1.1× 89 0.7× 47 0.5× 104 1.8× 21 0.6× 17 304
Guoyang Liao China 13 206 1.5× 97 0.8× 81 0.9× 166 2.9× 14 0.4× 52 447
Israr Fatima China 8 147 1.1× 325 2.7× 70 0.8× 70 1.2× 46 1.4× 15 422
Ji Guo Su China 12 138 1.0× 463 3.8× 75 0.8× 45 0.8× 45 1.4× 28 660
Agnieszka Dąbrowska Poland 11 230 1.7× 96 0.8× 37 0.4× 46 0.8× 18 0.5× 19 403
Saroj Kumar Panda India 12 150 1.1× 217 1.8× 59 0.6× 49 0.9× 86 2.6× 27 400
Md. Jahirul Islam Bangladesh 9 110 0.8× 148 1.2× 25 0.3× 29 0.5× 52 1.6× 20 291

Countries citing papers authored by Sakshi Piplani

Since Specialization
Citations

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

Fields of papers citing papers by Sakshi Piplani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sakshi Piplani

This figure shows the co-authorship network connecting the top 25 collaborators of Sakshi Piplani. A scholar is included among the top collaborators of Sakshi Piplani 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 Sakshi Piplani. Sakshi Piplani 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.
Piplani, Sakshi, Puneet Kumar Singh, Nikolai Petrovsky, & David A. Winkler. (2023). Identifying SARS-CoV-2 Drugs Binding to the Spike Fatty Acid Binding Pocket Using In Silico Docking and Molecular Dynamics. International Journal of Molecular Sciences. 24(4). 4192–4192. 3 indexed citations
2.
Piplani, Sakshi, David A. Winkler, Yoshikazu Honda‐Okubo, Varun Khanna, & Nikolai Petrovsky. (2023). In Silico Structure-Based Vaccine Design. Methods in molecular biology. 2673. 371–399. 1 indexed citations
3.
Piplani, Sakshi, Puneet Kumar Singh, Nikolai Petrovsky, & David A. Winkler. (2022). Computational Repurposing of Drugs and Natural Products Against SARS-CoV-2 Main Protease (Mpro) as Potential COVID-19 Therapies. Frontiers in Molecular Biosciences. 9. 781039–781039. 8 indexed citations
4.
Kaur, Arshpreet, Sakshi Piplani, Isaac G. Sakala, et al.. (2022). Stereoisomeric Pam2CS based TLR2 agonists: synthesis, structural modelling and activity as vaccine adjuvants. RSC Medicinal Chemistry. 13(5). 622–637. 6 indexed citations
5.
Piplani, Sakshi, Puneet Kumar Singh, David A. Winkler, & Nikolai Petrovsky. (2022). Potential COVID-19 Therapies from Computational Repurposing of Drugs and Natural Products against the SARS-CoV-2 Helicase. International Journal of Molecular Sciences. 23(14). 7704–7704. 9 indexed citations
6.
Piplani, Sakshi, et al.. (2022). Anti-microbial Peptides against Methicillin-resistant Staphylococcusaureus: Promising Therapeutics. Current Protein and Peptide Science. 24(2). 156–177. 2 indexed citations
7.
Li, Lei, Yoshikazu Honda‐Okubo, Ying Huang, et al.. (2021). Immunisation of ferrets and mice with recombinant SARS-CoV-2 spike protein formulated with Advax-SM adjuvant protects against COVID-19 infection. Vaccine. 39(40). 5940–5953. 58 indexed citations
8.
Assoni, Lucas, Lúcio Fábio Caldas Ferraz, Sakshi Piplani, et al.. (2021). Protective role of PhtD and its amino and carboxyl fragments against pneumococcal sepsis. Vaccine. 39(27). 3626–3632. 10 indexed citations
9.
Piplani, Sakshi, Puneet Kumar Singh, David A. Winkler, & Nikolai Petrovsky. (2021). Author Correction: In silico comparison of SARS-CoV-2 spike protein-ACE2 binding affinities across species and implications for virus origin. Scientific Reports. 11(1). 18610–18610. 1 indexed citations
10.
Macedo, Gilson Costa, Sakshi Piplani, Adilson David da Silva, et al.. (2021). Toll-like receptor-7/8 agonist kill Leishmania amazonensis by acting as pro-oxidant and pro-inflammatory agent. Journal of Pharmacy and Pharmacology. 73(9). 1180–1190. 13 indexed citations
11.
Piplani, Sakshi, Puneet Kumar Singh, David A. Winkler, & Nikolai Petrovsky. (2021). In silico comparison of SARS-CoV-2 spike protein-ACE2 binding affinities across species and implications for virus origin. Scientific Reports. 11(1). 13063–13063. 68 indexed citations
12.
Thomas, Sunil, et al.. (2021). Artificial Intelligence in Vaccine and Drug Design. Methods in molecular biology. 2410. 131–146. 45 indexed citations
13.
Baldwin, Jeremy, Sakshi Piplani, Isaac G. Sakala, et al.. (2021). Rapid Development of Analytical Methods for Evaluating Pandemic Vaccines: A Covid-19 Perspective. Bioanalysis. 13(24). 1805–1826. 17 indexed citations
14.
15.
Piplani, Sakshi, Yoshikazu Honda‐Okubo, Lei Li, et al.. (2020). BBIQ, a pure TLR7 agonist, is an effective influenza vaccine adjuvant. Human Vaccines & Immunotherapeutics. 16(8). 1989–1996. 19 indexed citations
16.
Suneja, Pooja, Sakshi Piplani, Pushpa Dahiya, & S. S. Dudeja. (2016). Molecular Characterization of Rhizobia from Revertants of Non-nodulating Cultivar and Normal Cultivar of Chickpea. Journal of Agricultural Science and Technology. 18(3). 763–773. 4 indexed citations
17.
Piplani, Sakshi, Prabhakar Kumar Verma, & Ajit Kumar. (2016). Neuroinformatics analyses reveal GABAt and SSADH as major proteins involved in anticonvulsant activity of valproic acid. Biomedicine & Pharmacotherapy. 81. 402–410. 14 indexed citations
18.
Piplani, Sakshi, et al.. (2015). Homology modelling and molecular docking studies of human placental cadherin protein for its role in teratogenic effects of anti-epileptic drugs. Computational Biology and Chemistry. 60. 1–8. 11 indexed citations
19.
Piplani, Sakshi, et al.. (2015). CoMFA, CoMSIA and Docking Studies of Saquinavir Based Peptidomimetic Inhibitors of HIV-1 Protease. Current Enzyme Inhibition. 12(2). 161–169. 1 indexed citations
20.
Kumar, Ajit, et al.. (2013). Molecular Dynamics of Rab7::REP1::GGTase-II Ternary Complex and Identification of Their Putative Drug Binding Sites. Indian Journal of Pharmaceutical Sciences. 75(1). 23–23. 5 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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