Mukesh Yadav
- Co-authors
- Anuraj NayarisseriSrinivas BandaruNageswara Rao DunnaDisha PatelM.R.N. PrasadDowlathabad Muralidhara RaoParveen JahanAchuthsankar S. Nair
- Topics
- Computational Drug Discovery Methods (11 papers)Synthesis and biological activity (3 papers)Metabolomics and Mass Spectrometry Studies (2 papers)
- Journals
- Current Pharmaceutical DesignCurrent Topics in Medicinal ChemistryCurrent Neuropharmacology
- Partner nations
- IndiaChinaSaudi Arabia
In The Last Decade
Mukesh Yadav
29 papers receiving 265 citations
Peers
Comparison fields: 5 of 84
- Molecular Biology 120
- Computational Theory and Mathematics 89
- Oncology 41
- Organic Chemistry 32
- Pollution 24
Countries citing papers authored by Mukesh Yadav
This map shows the geographic impact of Mukesh Yadav'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 Mukesh Yadav with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mukesh Yadav more than expected).
Fields of papers citing papers by Mukesh Yadav
This network shows the impact of papers produced by Mukesh Yadav. 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 Mukesh Yadav. The network helps show where Mukesh Yadav may publish in the future.
Co-authorship network of co-authors of Mukesh Yadav
This figure shows the co-authorship network connecting the top 25 collaborators of Mukesh Yadav. A scholar is included among the top collaborators of Mukesh Yadav 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 Mukesh Yadav. Mukesh Yadav is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 23 | |
| 4 | 12 | |
| 5 | 18 | |
| 6 | 0 | |
| 7 | Inverse QSAR approach and Molecular docking studies to design novel methoxy substituted Chalcones and their Computational Anticancer activity evaluation | 1 |
| 8 | 21 | |
| 9 | 10 | |
| 10 | 6 | |
| 11 | 6 | |
| 12 | 17 | |
| 13 | 13 | |
| 14 | 1 | |
| 15 | 9 | |
| 16 | 15 | |
| 17 | 9 | |
| 18 | 7 | |
| 19 | 6 | |
| 20 | 15 |
About Mukesh Yadav
Mukesh Yadav is a scholar working on Computational Theory and Mathematics, Urology and Geriatrics and Gerontology, having authored 31 papers that have together received 269 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (11 papers), Synthesis and biological activity (3 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Computational Theory and Mathematics (89 citations), Biotechnology (20 citations) and Pollution (24 citations). Mukesh Yadav has collaborated with scholars based in India, China and Saudi Arabia. Frequent co-authors include Anuraj Nayarisseri, Srinivas Bandaru, Nageswara Rao Dunna, Disha Patel, M.R.N. Prasad, Dowlathabad Muralidhara Rao, Parveen Jahan, Achuthsankar S. Nair, Sree Bhushan Raju and Mayuri Bhatia. Their work appears in journals such as Current Pharmaceutical Design, Current Topics in Medicinal Chemistry and Current Neuropharmacology.
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.