Tanuja Joshi

1.2k total citations
38 papers, 855 citations indexed

About

Tanuja Joshi is a scholar working on Computational Theory and Mathematics, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Tanuja Joshi has authored 38 papers receiving a total of 855 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computational Theory and Mathematics, 7 papers in Infectious Diseases and 7 papers in Molecular Biology. Recurrent topics in Tanuja Joshi's work include Computational Drug Discovery Methods (15 papers), Synthesis and biological activity (5 papers) and Advanced Control Systems Optimization (5 papers). Tanuja Joshi is often cited by papers focused on Computational Drug Discovery Methods (15 papers), Synthesis and biological activity (5 papers) and Advanced Control Systems Optimization (5 papers). Tanuja Joshi collaborates with scholars based in India, United States and Nigeria. Tanuja Joshi's co-authors include Subhash Chandra, Tushar Joshi, Priyanka Sharma, Hemlata Pundir, Shalini Mathpal, Sushma Tamta, Veena Pande, Priyanka Sharma, Vaibhav D. Bhatt and Hariprasad Kodamana and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biochemical and Biophysical Research Communications and Industrial & Engineering Chemistry Research.

In The Last Decade

Tanuja Joshi

37 papers receiving 836 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tanuja Joshi India 16 318 231 140 114 107 38 855
Haixia Su China 18 319 1.0× 421 1.8× 243 1.7× 52 0.5× 24 0.2× 58 928
Tushar Joshi India 16 357 1.1× 322 1.4× 153 1.1× 131 1.1× 183 1.7× 42 1.0k
Monika Jain India 20 262 0.8× 435 1.9× 251 1.8× 91 0.8× 248 2.3× 88 1.3k
Alisson Marques da Silva Brazil 13 336 1.1× 300 1.3× 50 0.4× 39 0.3× 32 0.3× 39 745
Subhash Mohan Agarwal India 22 396 1.2× 689 3.0× 138 1.0× 82 0.7× 72 0.7× 70 1.4k
Cheng Yan China 20 520 1.6× 909 3.9× 50 0.4× 116 1.0× 54 0.5× 84 1.6k
Vishal Singh India 20 222 0.7× 308 1.3× 133 0.9× 48 0.4× 123 1.1× 78 1.5k
Vinícius M. Alves United States 23 838 2.6× 587 2.5× 97 0.7× 98 0.9× 86 0.8× 53 1.5k
Lifeng Li China 20 422 1.3× 300 1.3× 47 0.3× 74 0.6× 306 2.9× 82 1.7k
Sajjad Gharaghani Iran 22 447 1.4× 663 2.9× 44 0.3× 50 0.4× 45 0.4× 82 1.8k

Countries citing papers authored by Tanuja Joshi

Since Specialization
Citations

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

Fields of papers citing papers by Tanuja Joshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tanuja Joshi

This figure shows the co-authorship network connecting the top 25 collaborators of Tanuja Joshi. A scholar is included among the top collaborators of Tanuja Joshi 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 Tanuja Joshi. Tanuja Joshi 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.
Joshi, Tanuja, Hariprasad Kodamana, Harikumar Kandath, & Niket S. Kaisare. (2023). TASAC: A twin-actor reinforcement learning framework with a stochastic policy with an application to batch process control. Control Engineering Practice. 134. 105462–105462. 18 indexed citations
2.
Joshi, Tanuja, et al.. (2023). Process control of mAb production using multi-actor proximal policy optimization. SHILAP Revista de lepidopterología. 8. 100108–100108. 9 indexed citations
3.
Pundir, Hemlata, et al.. (2022). Identification of essential oil phytocompounds as natural inhibitors of Odorant-binding protein to prevent malaria throughin silicoapproach. Journal of Biomolecular Structure and Dynamics. 41(17). 8323–8333. 3 indexed citations
4.
Prasanna, Pragya, et al.. (2022). Evaluation of the inhibitory potential of Valproic acid against histone deacetylase ofLeishmania donovaniand computational studies of Valproic acid derivatives. Journal of Biomolecular Structure and Dynamics. 41(12). 5447–5464. 2 indexed citations
5.
Joshi, Tanuja, et al.. (2021). Development of novel media formulation using rice straw and corn steep liquor for pyruvate production. Biomass Conversion and Biorefinery. 13(13). 11621–11629. 2 indexed citations
6.
Joshi, Tanuja, et al.. (2021). Molecular basis for the repurposing of histamine H2-receptor antagonist to treat COVID-19. Journal of Biomolecular Structure and Dynamics. 40(13). 5785–5802. 16 indexed citations
7.
Joshi, Tanuja, et al.. (2021). Interdomain linkers tailor the stability of immunoglobulin repeats in polyproteins. Biochemical and Biophysical Research Communications. 550. 43–48. 3 indexed citations
8.
Joshi, Tanuja, et al.. (2021). QSAR modeling and pharmacoinformatics of SARS coronavirus 3C-like protease inhibitors. Computers in Biology and Medicine. 134. 104483–104483. 13 indexed citations
9.
Joshi, Tanuja, et al.. (2021). Identification of Berbamine, Oxyacanthine and Rutin from Berberis asiatica as anti-SARS-CoV-2 compounds: An in silico study. Journal of Molecular Graphics and Modelling. 109. 108028–108028. 14 indexed citations
10.
Joshi, Tushar, Priyanka Sharma, Shalini Mathpal, et al.. (2021). Computational investigation of drug bank compounds against 3C-like protease (3CLpro) of SARS-CoV-2 using deep learning and molecular dynamics simulation. Molecular Diversity. 26(4). 2243–2256. 15 indexed citations
11.
Joshi, Tanuja, et al.. (2021). Twin actor twin delayed deep deterministic policy gradient (TATD3) learning for batch process control. Computers & Chemical Engineering. 155. 107527–107527. 40 indexed citations
12.
Pundir, Hemlata, et al.. (2021). Identification of SARS-CoV-2 RNA dependent RNA polymerase inhibitors using pharmacophore modelling, molecular docking and molecular dynamics simulation approaches. Journal of Biomolecular Structure and Dynamics. 40(24). 13366–13377. 4 indexed citations
13.
Joshi, Amit, et al.. (2020). Identification of potent Antigen 85C inhibitors of Mycobacterium tuberculosis via in-house lichen library and binding free energy studies Part-II. Journal of Molecular Graphics and Modelling. 103. 107822–107822. 5 indexed citations
14.
Joshi, Tanuja, Priyanka Sharma, Tushar Joshi, et al.. (2020). Structure-based screening of novel lichen compounds against SARS Coronavirus main protease (Mpro) as potentials inhibitors of COVID-19. Molecular Diversity. 25(3). 1665–1677. 59 indexed citations
15.
Pundir, Hemlata, Tanuja Joshi, Tushar Joshi, et al.. (2020). Using Chou’s 5-steps rule to study pharmacophore-based virtual screening of SARS-CoV-2 Mpro inhibitors. Molecular Diversity. 25(3). 1731–1744. 14 indexed citations
16.
Joshi, Tanuja, et al.. (2020). A Novel Dynamic Just-in-Time Learning Framework for Modeling of Batch Processes. Industrial & Engineering Chemistry Research. 59(43). 19334–19344. 13 indexed citations
17.
Sharma, Priyanka, Tushar Joshi, Tanuja Joshi, Subhash Chandra, & Sushma Tamta. (2019). In silico screening of potential antidiabetic phytochemicals from Phyllanthus emblica against therapeutic targets of type 2 diabetes. Journal of Ethnopharmacology. 248. 112268–112268. 63 indexed citations
18.
Joshi, Tanuja, Priyanka Sharma, Tushar Joshi, & Subhash Chandra. (2019). In silico screening of anti-inflammatory compounds from Lichen by targeting cyclooxygenase-2. Journal of Biomolecular Structure and Dynamics. 38(12). 3544–3562. 39 indexed citations
19.
Joshi, Tanuja, et al.. (2009). Custom local search. 424–427. 1 indexed citations
20.
Joshi, Tanuja, B. V. K. Vijaya Kumar, David Kriegman, & Jean Ponce. (1997). Hot curves for modelling and recognition of smooth curved 3D objects. Image and Vision Computing. 15(7). 479–498. 13 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Haixia Su Breakdown of academic impact, for papers by Tushar Joshi Breakdown of academic impact, for papers by Monika Jain Breakdown of academic impact, for papers by Alisson Marques da Silva Breakdown of academic impact, for papers by Subhash Mohan Agarwal Breakdown of academic impact, for papers by Cheng Yan Breakdown of academic impact, for papers by Vishal Singh Breakdown of academic impact, for papers by Vinícius M. Alves Breakdown of academic impact, for papers by Lifeng Li Breakdown of academic impact, for papers by Sajjad Gharaghani
Rankless by CCL
2026