Rohan J. Meshram

1.1k total citations
48 papers, 877 citations indexed

About

Rohan J. Meshram is a scholar working on Organic Chemistry, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Rohan J. Meshram has authored 48 papers receiving a total of 877 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Organic Chemistry, 16 papers in Molecular Biology and 12 papers in Computational Theory and Mathematics. Recurrent topics in Rohan J. Meshram's work include Synthesis and biological activity (19 papers), Computational Drug Discovery Methods (12 papers) and Synthesis and Characterization of Heterocyclic Compounds (6 papers). Rohan J. Meshram is often cited by papers focused on Synthesis and biological activity (19 papers), Computational Drug Discovery Methods (12 papers) and Synthesis and Characterization of Heterocyclic Compounds (6 papers). Rohan J. Meshram collaborates with scholars based in India, United States and Germany. Rohan J. Meshram's co-authors include Rajesh N. Gacche, Bhaskar S. Dawane, Shrikant V. Hese, Sonali S. Kamble, Rahul D. Kamble, Rahul A. More, B. P. Bandgar, Sadanand N. Shringare, Shivkumar S. Jalde and Hemant V. Chavan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Archives of Biochemistry and Biophysics.

In The Last Decade

Rohan J. Meshram

47 papers receiving 867 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Rohan J. Meshram 392 330 97 96 95 48 877
Mohamed A. Tantawy 602 1.5× 422 1.3× 135 1.4× 124 1.3× 88 0.9× 50 1.2k
Manish Kumar Jeengar 333 0.8× 613 1.9× 35 0.4× 104 1.1× 117 1.2× 33 1.3k
Morteza Ghandadi 189 0.5× 332 1.0× 36 0.4× 95 1.0× 74 0.8× 30 763
Thikryat Neamatallah 200 0.5× 301 0.9× 40 0.4× 86 0.9× 73 0.8× 41 865
Isabella Romeo 191 0.5× 401 1.2× 94 1.0× 63 0.7× 100 1.1× 52 891
Wenyu Wu 168 0.4× 470 1.4× 80 0.8× 107 1.1× 165 1.7× 62 1.1k
Chih‐Shiang Chang 269 0.7× 398 1.2× 31 0.3× 81 0.8× 51 0.5× 50 853
Taha F. S. Ali 391 1.0× 286 0.9× 58 0.6× 91 0.9× 77 0.8× 57 859
Amer Ali Abd El‐Hafeez 304 0.8× 318 1.0× 40 0.4× 159 1.7× 55 0.6× 35 679
Shuo Yuan 383 1.0× 415 1.3× 29 0.3× 133 1.4× 51 0.5× 73 933

Countries citing papers authored by Rohan J. Meshram

Since Specialization
Citations

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

Fields of papers citing papers by Rohan J. Meshram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rohan J. Meshram. 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 Rohan J. Meshram. The network helps show where Rohan J. Meshram may publish in the future.

Co-authorship network of co-authors of Rohan J. Meshram

This figure shows the co-authorship network connecting the top 25 collaborators of Rohan J. Meshram. A scholar is included among the top collaborators of Rohan J. Meshram 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 Rohan J. Meshram. Rohan J. Meshram 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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Albekairi, Norah A., et al.. (2025). Exploring pyrazolines as potential inhibitors of NSP3-macrodomain of SARS-CoV-2: synthesis and in silico analysis. Scientific Reports. 15(1). 767–767. 1 indexed citations
3.
Meshram, Rohan J., et al.. (2024). Synthesis and In-Vitro/Silico Evaluation of Fluorinated Chalcones. Oriental Journal Of Chemistry. 40(4). 1077–1086. 1 indexed citations
4.
Kale, Raju R., et al.. (2024). Synthesis, Biological and Molecular Docking Studies of Thiazole‐Thiadiazole derivatives as potential Anti‐Tuberculosis Agents. Chemistry & Biodiversity. 21(6). e202400496–e202400496. 10 indexed citations
5.
Meshram, Rohan J., et al.. (2024). Biological activity and biomolecule interaction of pyridyl thiazole derivative and its copper complex. Journal of Molecular Liquids. 404. 124936–124936. 3 indexed citations
6.
Makam, Parameshwar, et al.. (2024). Design, Synthesis, Anti‐Cancer, Anti‐Inflammatory and In Silico Studies of 3‐Substituted‐2‐Oxindole Derivatives. Chemistry & Biodiversity. 21(11). e202400844–e202400844. 2 indexed citations
7.
More, Rahul A., et al.. (2024). Dynamics, mechanistic and energetic evaluation of thiazole-thiadiazole compounds in flavin dependent thymidylate synthase of Mycobacterium tuberculosis. International Journal of Biological Macromolecules. 289. 138839–138839. 1 indexed citations
8.
Meshram, Rohan J., et al.. (2022). Progress, evolving therapeutic/diagnostic approaches, and challenges in the management of hepatitis C virus infections. Archives of Virology. 167(3). 717–736. 8 indexed citations
9.
Meshram, Rohan J., et al.. (2021). In silico Investigation of Tridax procumbens Phyto-Constituents Against SARS-CoV-2 Infection. Biointerface Research in Applied Chemistry. 11(4). 12120–12148. 12 indexed citations
10.
Kamble, Sonali S., Shrikant V. Hese, Rahul V. Pinjari, et al.. (2021). Synthesis and evaluation of N-(4-(substituted)-3-(trifluoromethyl) phenyl) isobutyramides and their N-ethyl analogous as anticancer, anti-angiogenic & antioxidant agents: In vitro and in silico analysis. Computational Biology and Chemistry. 92. 107484–107484. 4 indexed citations
11.
Meshram, Rohan J., et al.. (2020). Modeling and simulation study to identify threonine synthase as possible drug target in Leishmania major. Molecular Diversity. 25(3). 1679–1700. 13 indexed citations
12.
Meshram, Rohan J., et al.. (2020). Molecular modeling and simulation study of homoserine kinase as an effective leishmanial drug target. Journal of Molecular Modeling. 26(8). 218–218. 6 indexed citations
13.
Meshram, Rohan J., et al.. (2019). Gene expression signatures of site-specificity in cancer metastases. Clinical & Experimental Metastasis. 37(1). 159–171. 8 indexed citations
14.
Kamble, Sonali S., Rahul D. Kamble, Shrikant V. Hese, et al.. (2019). Design, synthesis and in silico study of pyridine based 1,3,4-oxadiazole embedded hydrazinecarbothioamide derivatives as potent anti-tubercular agent. Computational Biology and Chemistry. 80. 54–65. 30 indexed citations
15.
Meshram, Rohan J., et al.. (2018). An in silico approach in identification of drug targets in Leishmania: A subtractive genomic and metabolic simulation analysis. Parasitology International. 69. 59–70. 8 indexed citations
16.
Gacche, Rajesh N., et al.. (2018). FilTer BaSe: A web accessible chemical database for small compound libraries. Journal of Molecular Graphics and Modelling. 80. 95–103. 7 indexed citations
17.
Meshram, Rohan J.. (2017). Pharmacophore Mapping Approach for Drug Target Identification: A Chemical Synthesis and in Silico Study on Novel Thiadiazole Compounds. JOURNAL OF CLINICAL AND DIAGNOSTIC RESEARCH. 11(5). KF01–KF08. 16 indexed citations
18.
Gacche, Rajesh N., et al.. (2015). Flavonoids as a scaffold for development of novel anti-angiogenic agents: An experimental and computational enquiry. Archives of Biochemistry and Biophysics. 577-578. 35–48. 28 indexed citations
19.
20.
Bandgar, B. P., Laxman K. Adsul, Hemant V. Chavan, et al.. (2012). Synthesis, biological evaluation, and docking studies of 3-(substituted)-aryl-5-(9-methyl-3-carbazole)-1H-2-pyrazolines as potent anti-inflammatory and antioxidant agents. Bioorganic & Medicinal Chemistry Letters. 22(18). 5839–5844. 112 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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