Dharmendra Kumar Yadav
Impact in
- Drug Discovery top 0.1%
- Toxicology top 1%
- Bioactive Compounds and Antitumor Agents
Papers in
- Toxicology 11
- Bioactive Compounds and Antitumor Agents 11
-
- Computational Drug Discovery Methods 37
- Co-authors
- Feroz KhanEun Ha ChoiMd. Imtaiyaz HassanDesh Deepak SinghMi‐Hyun KimSurendra KumarSantosh K. SrivastavaManzar Alam
- Journals
- Scientific Reports (13 papers)Current Topics in Medicinal Chemistry (13 papers)Frontiers in Pharmacology (8 papers)Journal of Biomolecular Structure and Dynamics (7 papers)International Journal of Molecular Sciences (5 papers)
- Partner nations
- IndiaSouth KoreaSaudi Arabia
In The Last Decade
Dharmendra Kumar Yadav
173 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Drug Discovery 19
- Toxicology 173
- Computational Theory and Mathematics 574
- Complementary and alternative medicine 279
- Applied Microbiology and Biotechnology 63
Countries citing papers authored by Dharmendra Kumar Yadav
This map shows the geographic impact of Dharmendra Kumar 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 Dharmendra Kumar Yadav with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dharmendra Kumar Yadav more than expected).
Fields of papers citing papers by Dharmendra Kumar Yadav
This network shows the impact of papers produced by Dharmendra Kumar 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 Dharmendra Kumar Yadav. The network helps show where Dharmendra Kumar Yadav may publish in the future.
Co-authors
The 25 scholars most cited alongside Dharmendra Kumar Yadav, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 9 | |
| 9 | 2024 | 1 | |
| 10 | 2023 | 3 | |
| 11 | 2023 | 5 | |
| 12 | 2023 | 3 | |
| 13 | 2023 | 3 | |
| 14 | 2023 | 3 | |
| 15 | 2022 | 40 | |
| 16 | 2022 | 22 | |
| 17 | 2013 | 55 | |
| 18 | Identification of cytochrome P450 heme motif in plants proteome | 2013 | 12 |
| 19 | Functional annotation of expressed sequence tags of Papaver somniferum | 2012 | 3 |
| 20 | 2012 | 17 |
About Dharmendra Kumar Yadav
Dharmendra Kumar Yadav is a scholar working on Toxicology, Computational Theory and Mathematics, Organic Chemistry, Molecular Biology and Pharmacology, having authored 196 papers that have together received 3.7k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (37 papers), Synthesis and biological activity (27 papers), Cancer therapeutics and mechanisms (12 papers), Bioactive Compounds and Antitumor Agents (11 papers), Drug Transport and Resistance Mechanisms (9 papers), Natural product bioactivities and synthesis (9 papers), Synthesis and Biological Evaluation (8 papers) and SARS-CoV-2 and COVID-19 Research (8 papers). The work is most often cited by research in Drug Discovery (19 citations), Toxicology (173 citations), Computational Theory and Mathematics (574 citations), Complementary and alternative medicine (279 citations) and Applied Microbiology and Biotechnology (63 citations). Dharmendra Kumar Yadav has collaborated with scholars based in India, South Korea and Saudi Arabia. Frequent co-authors include Feroz Khan, Eun Ha Choi, Md. Imtaiyaz Hassan, Desh Deepak Singh, Mi‐Hyun Kim, Surendra Kumar, Santosh K. Srivastava, Manzar Alam, Sandeep Chaudhary and Taj Mohammad. Their work appears in journals such as Scientific Reports, Current Topics in Medicinal Chemistry, Frontiers in Pharmacology, Journal of Biomolecular Structure and Dynamics and International Journal of Molecular Sciences.
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.