Vishwas Tripathi

773 total citations
26 papers, 541 citations indexed

About

Vishwas Tripathi is a scholar working on Molecular Biology, Oncology and Infectious Diseases. According to data from OpenAlex, Vishwas Tripathi has authored 26 papers receiving a total of 541 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Oncology and 6 papers in Infectious Diseases. Recurrent topics in Vishwas Tripathi's work include SARS-CoV-2 and COVID-19 Research (6 papers), Computational Drug Discovery Methods (5 papers) and COVID-19 Clinical Research Studies (4 papers). Vishwas Tripathi is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (6 papers), Computational Drug Discovery Methods (5 papers) and COVID-19 Clinical Research Studies (4 papers). Vishwas Tripathi collaborates with scholars based in India, Brazil and Canada. Vishwas Tripathi's co-authors include Kalpana Luthra, Preeti Jain, Md. Saddam Hussain, Sangeeta Paul, Chetana Aggarwal, M. Aslam, Neena Malhotra, Jagdeep Kaur, Anjana Singh and Mohd Ashraf and has published in prestigious journals such as Cancer Research, European Journal of Pharmacology and Frontiers in Pharmacology.

In The Last Decade

Vishwas Tripathi

23 papers receiving 530 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vishwas Tripathi India 14 184 158 131 68 55 26 541
Mathilde Blois France 8 172 0.9× 149 0.9× 122 0.9× 58 0.9× 127 2.3× 16 673
Pankaj Chaturvedi India 13 161 0.9× 112 0.7× 44 0.3× 44 0.6× 54 1.0× 52 719
Biswa Ranjan Meher India 15 284 1.5× 56 0.4× 102 0.8× 48 0.7× 24 0.4× 43 742
Márcio F.M. Alves Brazil 15 205 1.1× 74 0.5× 29 0.2× 54 0.8× 46 0.8× 20 557
Ananda Mookerjee India 14 150 0.8× 152 1.0× 139 1.1× 93 1.4× 35 0.6× 17 613
Bojie Chen China 10 98 0.5× 27 0.2× 58 0.4× 46 0.7× 25 0.5× 25 333
Juan J. Martínez Medina Argentina 12 198 1.1× 187 1.2× 23 0.2× 133 2.0× 25 0.5× 27 757
Simon Parry United Kingdom 16 545 3.0× 63 0.4× 400 3.1× 128 1.9× 32 0.6× 29 981
Mohammad Arjmand Iran 11 136 0.7× 39 0.2× 40 0.3× 21 0.3× 25 0.5× 43 353
Kai Schulze‐Forster Germany 13 453 2.5× 60 0.4× 74 0.6× 24 0.4× 52 0.9× 29 813

Countries citing papers authored by Vishwas Tripathi

Since Specialization
Citations

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

Fields of papers citing papers by Vishwas Tripathi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vishwas Tripathi

This figure shows the co-authorship network connecting the top 25 collaborators of Vishwas Tripathi. A scholar is included among the top collaborators of Vishwas Tripathi 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 Vishwas Tripathi. Vishwas Tripathi 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, Rahul Kumar, Vishwas Tripathi, Vivek Dhar Dwivedi, & Garima Chouhan. (2025). Mechanistic inhibition of FtsZ-driven bacterial cytokinesis by natural products: an integrated machine learning and advanced drug discovery approach. Molecular Diversity.
2.
Camps, Ihosvany, et al.. (2024). Lumacaftor as a potential repurposed drug in targeting breast cancer stem cells: insights from in silico study. Journal of Molecular Modeling. 30(7). 227–227.
3.
Camps, Ihosvany, et al.. (2022). Targeting notch signaling pathway in breast cancer stem cells through drug repurposing approach. Molecular Diversity. 27(6). 2431–2440. 7 indexed citations
4.
Mishra, Amaresh, et al.. (2022). Natural compounds as a potential modifier of stem cells renewal: Comparative analysis. European Journal of Pharmacology. 938. 175412–175412. 3 indexed citations
5.
Mishra, Amaresh, et al.. (2021). An updated review on the role of the CXCL8-CXCR1/2 axis in the progression and metastasis of breast cancer. Molecular Biology Reports. 48(9). 6551–6561. 29 indexed citations
6.
Aggarwal, Chetana, et al.. (2021). Comparative response of Spodoptera litura challenged per os with Serratia marcescens strains differing in virulence. Journal of Invertebrate Pathology. 183. 107562–107562. 6 indexed citations
7.
Mishra, Amaresh, et al.. (2021). Abstract 712: Anticancer natural compounds as potential inhibitors of novel coronavirus (COVID19) main protease: An in-silico study. Cancer Research. 81(13_Supplement). 712–712. 3 indexed citations
8.
Choudhir, Gourav, et al.. (2021). Rifampicin and Letermovir as potential repurposed drug candidate for COVID-19 treatment: insights from an in-silico study. Pharmacological Reports. 73(3). 926–938. 19 indexed citations
9.
Tripathi, Vishwas, et al.. (2021). History, Diagnosis, and Treatment of Coronavirus Disease 2019(COVID-19). Coronaviruses. 3(1).
10.
Toor, Devinder, et al.. (2020). Tempering Macrophage Plasticity for Controlling SARS-CoV-2 Infection for Managing COVID-19 Disease. Frontiers in Pharmacology. 11. 570698–570698. 13 indexed citations
11.
Singh, Anjana & Vishwas Tripathi. (2018). Effect of Transferulic acid on oral squamous carcinoma cells. Journal of Pharmacognosy and Phytochemistry. 7(1). 1955–1958. 2 indexed citations
12.
Hussain, Md. Saddam & Vishwas Tripathi. (2018). Smoking under hypoxic conditions: a potent environmental risk factor for inflammatory and autoimmune diseases. Military Medical Research. 5(1). 11–11. 33 indexed citations
13.
Jain, Preeti, et al.. (2018). Synthesis, antibacterial, anticancer and molecular docking studies of macrocyclic metal complexes of dihydrazide and diketone. Journal of Saudi Chemical Society. 23(1). 52–60. 53 indexed citations
14.
Tripathi, Vishwas, et al.. (2018). Quinic acid attenuates oral cancer cell proliferation by downregulating cyclin D1 Expression and Akt signaling. Pharmacognosy Magazine. 14(55). 14–14. 26 indexed citations
15.
Aggarwal, Chetana, et al.. (2016). Characterization of putative virulence factors of Serratia marcescens strain SEN for pathogenesis in Spodoptera litura. Journal of Invertebrate Pathology. 143. 115–123. 37 indexed citations
16.
Tripathi, Vishwas, et al.. (2014). CXCL12–CXCR7 Signaling Activates ERK and Akt Pathways in Human Choriocarcinoma Cells. Cell Communication & Adhesion. 21(4). 221–228. 15 indexed citations
17.
Tripathi, Vishwas, et al.. (2011). CXCR7 mediated Giα independent activation of ERK and Akt promotes cell survival and chemotaxis in T cells. Cellular Immunology. 272(2). 230–241. 59 indexed citations
18.
Malhotra, Neena, Debjyoti Karmakar, Vishwas Tripathi, Kalpana Luthra, & Sunesh Kumar. (2011). Correlation of angiogenic cytokines-leptin and IL-8 in stage, type and presentation of endometriosis. Gynecological Endocrinology. 28(3). 224–227. 42 indexed citations
19.
Tripathi, Vishwas, et al.. (2008). Differential Expression of RDC1/CXCR7 in the Human Placenta. Journal of Clinical Immunology. 29(3). 379–386. 41 indexed citations
20.
Zaman, Mohd Saif, Abid R. Mattoo, Kirti Sharma, et al.. (2007). Properties of Bacillus anthracis spores prepared under various environmental conditions. Archives of Microbiology. 189(1). 71–79. 57 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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