Bharti Devi
Impact in
-
- Computational Drug Discovery Methods
Papers in
-
- Bacterial biofilms and quorum sensing 2
- Pharmacology 11
- Cholinesterase and Neurodegenerative Diseases 11
- Synthesis of Organic Compounds 2
- Co-authors
- Rajnish Kumar (14 shared papers)Anurag T. K. Baidya (8 shared papers)Bhanuranjan Das (7 shared papers)Alen T. Mathew (4 shared papers)Vinod Kumar (13 shared papers)Ashish Ranjan Dwivedi (8 shared papers)Vijay Kumar (8 shared papers)Taher Darreh‐Shori (2 shared papers)
- Journals
- Journal of Biomolecular Structure and Dynamics (5 papers)RSC Medicinal Chemistry (4 papers)Molecular Diversity (3 papers)ACS Chemical Neuroscience (3 papers)Chemistry & Biodiversity (1 paper)
- Partner nations
- IndiaUnited StatesSweden
In The Last Decade
Bharti Devi
24 papers receiving 275 citations
Peers
Comparison fields: 5 of 73
- Computational Theory and Mathematics 126
- Health Informatics 8
- Pharmacology 58
- Biophysics 12
- Molecular Biology 120
Countries citing papers authored by Bharti Devi
This map shows the geographic impact of Bharti Devi'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 Bharti Devi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bharti Devi more than expected).
Fields of papers citing papers by Bharti Devi
This network shows the impact of papers produced by Bharti Devi. 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 Bharti Devi. The network helps show where Bharti Devi may publish in the future.
Co-authors
The 25 scholars most cited alongside Bharti Devi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 121 | |
| 2 | 2023 | 19 | |
| 3 | 2023 | 17 | |
| 4 | 2023 | 14 | |
| 5 | 2024 | 14 | |
| 6 | 2022 | 13 | |
| 7 | 2023 | 11 | |
| 8 | 2022 | 11 | |
| 9 | 2023 | 7 | |
| 10 | 2024 | 7 | |
| 11 | 2024 | 6 | |
| 12 | 2023 | 6 | |
| 13 | 2024 | 6 | |
| 14 | 2024 | 5 | |
| 15 | 2024 | 4 | |
| 16 | 2023 | 4 | |
| 17 | 2025 | 3 | |
| 18 | 2023 | 3 | |
| 19 | 2022 | 3 | |
| 20 | 2022 | 2 |
About Bharti Devi
Bharti Devi is a scholar working on Molecular Biology, Pharmacology, Computational Theory and Mathematics, Organic Chemistry and Microbiology, having authored 27 papers that have together received 281 indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (11 papers), Computational Drug Discovery Methods (11 papers), Synthesis and biological activity (6 papers), Antimicrobial Peptides and Activities (3 papers), Synthesis of Organic Compounds (2 papers), Bioactive Compounds and Antitumor Agents (2 papers), Bacterial biofilms and quorum sensing (2 papers) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Computational Theory and Mathematics (126 citations), Health Informatics (8 citations), Pharmacology (58 citations), Biophysics (12 citations) and Molecular Biology (120 citations). Bharti Devi has collaborated with scholars based in India, United States and Sweden. Frequent co-authors include Rajnish Kumar, Anurag T. K. Baidya, Bhanuranjan Das, Alen T. Mathew, Vinod Kumar, Ashish Ranjan Dwivedi, Vijay Kumar, Taher Darreh‐Shori, Vinay Kumar and Naveen Kumar. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, RSC Medicinal Chemistry, Molecular Diversity, ACS Chemical Neuroscience and Chemistry & Biodiversity.
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.