Madhu Yadav
- Co-authors
- Mukesh KumarAshutosh SharmaRamendra K. SinghRitika SrivastavaAnuradha SinghFarha NaazGupta SkGurmit Singh
- Topics
- Computational Drug Discovery Methods (9 papers)HIV/AIDS drug development and treatment (6 papers)Click Chemistry and Applications (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaIndustrial & Engineering Chemistry ResearchJournal of Cellular Biochemistry
- Partner nations
- IndiaSouth KoreaBelgium
In The Last Decade
Madhu Yadav
31 papers receiving 350 citations
Peers
Comparison fields: 5 of 84
- Pathology and Forensic Medicine 77
- Molecular Biology 72
- Physiology 71
- Materials Chemistry 67
- Organic Chemistry 66
Countries citing papers authored by Madhu Yadav
This map shows the geographic impact of Madhu 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 Madhu Yadav with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Madhu Yadav more than expected).
Fields of papers citing papers by Madhu Yadav
This network shows the impact of papers produced by Madhu 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 Madhu Yadav. The network helps show where Madhu Yadav may publish in the future.
Co-authorship network of co-authors of Madhu Yadav
This figure shows the co-authorship network connecting the top 25 collaborators of Madhu Yadav. A scholar is included among the top collaborators of Madhu 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 Madhu Yadav. Madhu 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 | 0 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 0 | |
| 7 | 9 | |
| 8 | 1 | |
| 9 | 4 | |
| 10 | 0 | |
| 11 | 36 | |
| 12 | 18 | |
| 13 | 2 | |
| 14 | Virtual Screening of Ligand molecules for target protein CYP26A1 by using AutoDock-Vina | 2 |
| 15 | Implications of global warming on the emergence of zoonotic diseases | 1 |
| 16 | 26 | |
| 17 | 92 | |
| 18 | 3 | |
| 19 | Isolation of bacterial and fungal pahtogens from healthy and diseased equines | 1 |
| 20 | 9 |
About Madhu Yadav
Madhu Yadav is a scholar working on Virology, Health Informatics and Computational Theory and Mathematics, having authored 39 papers that have together received 360 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (9 papers), HIV/AIDS drug development and treatment (6 papers) and Click Chemistry and Applications (4 papers). The work is most often cited by research in Pathology and Forensic Medicine (77 citations), Physiology (71 citations) and Organic Chemistry (66 citations). Madhu Yadav has collaborated with scholars based in India, South Korea and Belgium. Frequent co-authors include Mukesh Kumar, Ashutosh Sharma, Ramendra K. Singh, Ritika Srivastava, Anuradha Singh, Farha Naaz, Gupta Sk, Gurmit Singh, Malay Kumar Rana and Pramod Kumar Yadav. Their work appears in journals such as SHILAP Revista de lepidopterología, Industrial & Engineering Chemistry Research and Journal of Cellular Biochemistry.
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.