Rajendra Joshi

3.4k total citations
116 papers, 1.6k citations indexed

About

Rajendra Joshi is a scholar working on Molecular Biology, Organic Chemistry and Materials Chemistry. According to data from OpenAlex, Rajendra Joshi has authored 116 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Molecular Biology, 17 papers in Organic Chemistry and 16 papers in Materials Chemistry. Recurrent topics in Rajendra Joshi's work include DNA and Nucleic Acid Chemistry (17 papers), Computational Drug Discovery Methods (15 papers) and RNA and protein synthesis mechanisms (14 papers). Rajendra Joshi is often cited by papers focused on DNA and Nucleic Acid Chemistry (17 papers), Computational Drug Discovery Methods (15 papers) and RNA and protein synthesis mechanisms (14 papers). Rajendra Joshi collaborates with scholars based in India, United States and United Kingdom. Rajendra Joshi's co-authors include Uddhavesh Sonavane, Avinash S. Kumbhar, Vinod Jani, Uddhavesh B. Sonawane, Anupa A. Kumbhar, Bimba N. Joshi, Ray J. Butcher, Krishna N. Ganesh, Menakshi Bhat and Prasad P. Kulkarni and has published in prestigious journals such as The Lancet, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Rajendra Joshi

105 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rajendra Joshi India 23 696 464 385 212 189 116 1.6k
Jeffrey H. Toney United States 19 609 0.9× 391 0.8× 428 1.1× 195 0.9× 134 0.7× 36 1.8k
Mohammad Abid India 31 807 1.2× 656 1.4× 1.5k 3.9× 222 1.0× 157 0.8× 116 2.7k
Elisabeth Davioud–Charvet France 35 1.3k 1.9× 396 0.9× 1.4k 3.6× 184 0.9× 159 0.8× 102 3.5k
Jeffrey C. Dyason Australia 20 1.5k 2.2× 271 0.6× 946 2.5× 317 1.5× 216 1.1× 39 3.1k
Ndumiso N. Mhlongo South Africa 13 388 0.6× 554 1.2× 526 1.4× 92 0.4× 148 0.8× 33 1.1k
Jaspreet Kaur Dhanjal India 21 870 1.3× 325 0.7× 311 0.8× 179 0.8× 146 0.8× 57 2.1k
Marcelo A. Comini Uruguay 29 864 1.2× 216 0.5× 720 1.9× 151 0.7× 82 0.4× 97 2.4k
Diogo Rodrigo Magalhães Moreira Brazil 35 875 1.3× 457 1.0× 1.9k 5.0× 180 0.8× 111 0.6× 103 3.2k
Masami Otsuka Japan 29 1.6k 2.2× 531 1.1× 1.5k 3.8× 236 1.1× 150 0.8× 170 3.3k
Andreas Larsson Sweden 21 1.9k 2.7× 397 0.9× 473 1.2× 131 0.6× 115 0.6× 55 2.9k

Countries citing papers authored by Rajendra Joshi

Since Specialization
Citations

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

Fields of papers citing papers by Rajendra Joshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rajendra Joshi

This figure shows the co-authorship network connecting the top 25 collaborators of Rajendra Joshi. A scholar is included among the top collaborators of Rajendra 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 Rajendra Joshi. Rajendra 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
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Jani, Vinod, et al.. (2024). MolToxPred: small molecule toxicity prediction using machine learning approach. RSC Advances. 14(6). 4201–4220. 15 indexed citations
3.
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Paul, Subrata, Nand Kishor Gour, Uddhavesh Sonavane, et al.. (2024). A Study Modeling Bridged Nucleic Acid-Based ASOs and Their Impact on the Structure and Stability of ASO/RNA Duplexes. Langmuir. 40(41). 21407–21426. 2 indexed citations
5.
Jani, Vinod, Manohar Gundeti, Goli Penchala Prasad, et al.. (2024). Evaluating therapeutic potential of AYUSH-64 constituents against omicron variant of SARS-CoV-2 using ensemble docking and simulations. SHILAP Revista de lepidopterología. 7. 100151–100151. 1 indexed citations
6.
Vora, Kranti, et al.. (2023). Community health workers to reduce unmet surgical needs in an urban slum in India: an implementation study. International Health. 16(5). 523–528. 3 indexed citations
7.
Moonan, Patrick K., Melissa Nyendak, Vijay Yeldandi, et al.. (2023). Retaining Patients with Drug-Resistant Tuberculosis on Treatment During the COVID-19 Pandemic — Dharavi, Mumbai, India, 2020–2022. MMWR Morbidity and Mortality Weekly Report. 72(12). 304–308. 1 indexed citations
8.
Bhargava, Anurag, Madhavi Bhargava, Banurekha Velayutham, et al.. (2023). Nutritional support for adult patients with microbiologically confirmed pulmonary tuberculosis: outcomes in a programmatic cohort nested within the RATIONS trial in Jharkhand, India. The Lancet Global Health. 11(9). e1402–e1411. 40 indexed citations
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Jani, Vinod, et al.. (2020). Drug repurposing studies targeting SARS-CoV-2: an ensemble docking approach on drug target 3C-like protease (3CL pro ). Journal of Biomolecular Structure and Dynamics. 39(15). 5735–5755. 47 indexed citations
11.
Joshi, Rajendra. (2020). New Frontiers of Aging Reversal and Aging-Related Diseases Reprogramming. HAL (Le Centre pour la Communication Scientifique Directe).
12.
Borah, Khushboo, Pankaj Vats, Huihai Wu, et al.. (2020). GSMN-ML- a genome scale metabolic network reconstruction of the obligate human pathogen Mycobacterium leprae. PLoS neglected tropical diseases. 14(7). e0007871–e0007871. 7 indexed citations
13.
Reddy, Divya, Vinod Jani, Nikhil Gadewal, et al.. (2017). Histone isoform H2A1H promotes attainment of distinct physiological states by altering chromatin dynamics. Epigenetics & Chromatin. 10(1). 48–48. 15 indexed citations
14.
Kumar, Brijesh, et al.. (2015). Auto-regulation of Slug mediates its activity during epithelial to mesenchymal transition. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1849(9). 1209–1218. 15 indexed citations
15.
Ghosh, Anirban, et al.. (2011). Structural insights into human GPCR protein OA1: a computational perspective. Journal of Molecular Modeling. 18(5). 2117–2133. 11 indexed citations
16.
Jani, Vinod, Uddhavesh Sonavane, & Rajendra Joshi. (2011). Microsecond Scale Replica Exchange Molecular Dynamic Simulation of Villin Headpiece: An Insight into the Folding Landscape. Journal of Biomolecular Structure and Dynamics. 28(6). 845–860. 18 indexed citations
17.
Kumbhar, Avinash S., Menakshi Bhat, Bimba N. Joshi, et al.. (2009). Mixed-Ligand Copper(II) Maltolate Complexes: Synthesis, Characterization, DNA Binding and Cleavage, and Cytotoxicity. Inorganic Chemistry. 48(19). 9120–9132. 158 indexed citations
18.
Muthukrishnan, M., et al.. (2007). Concise synthesis of β-blockers (S)-metoprolol and (S)-betaxolol using hydrolytic kinetic resolution. Tetrahedron. 63(8). 1872–1876. 32 indexed citations
19.
Kumbhar, Anupa A., Avinash S. Kumbhar, Vedavati G. Puranik, et al.. (2006). Synthesis, characterization, X-ray structure and DNA photocleavage by cis-dichloro bis(diimine) Co(III) complexes. Journal of Inorganic Biochemistry. 100(3). 331–343. 113 indexed citations
20.
Joshi, Rajendra, et al.. (1994). DNA cleavage by Cu(II)-desferal: identification of C1′-hydroxylation as the initial event for DNA damage. Biochimica et Biophysica Acta (BBA) - General Subjects. 1199(3). 285–292. 12 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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