Farha Naaz
- Organic Chemistry top 10%
- Molecular Biology
- Computational Theory and Mathematics top 5%
- Infectious Diseases
- Oncology
- Co-authors
- Ramendra K. SinghVishal SinghRitika SrivastavaAnuradha SinghRicha MishraRajesh VermaNidhi SinghMadhu Yadav
- Topics
- Computational Drug Discovery Methods (9 papers)Synthesis and biological activity (7 papers)SARS-CoV-2 and COVID-19 Research (2 papers)
- Partner nations
- IndiaUnited StatesChina
In The Last Decade
Farha Naaz
14 papers receiving 397 citations
Peers
Comparison fields: 5 of 81
- Organic Chemistry 204
- Molecular Biology 145
- Computational Theory and Mathematics 138
- Infectious Diseases 59
- Oncology 45
Countries citing papers authored by Farha Naaz
This map shows the geographic impact of Farha Naaz'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 Farha Naaz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Farha Naaz more than expected).
Fields of papers citing papers by Farha Naaz
This network shows the impact of papers produced by Farha Naaz. 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 Farha Naaz. The network helps show where Farha Naaz may publish in the future.
Co-authorship network of co-authors of Farha Naaz
This figure shows the co-authorship network connecting the top 25 collaborators of Farha Naaz. A scholar is included among the top collaborators of Farha Naaz 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 Farha Naaz. Farha Naaz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 6 | |
| 5 | 35 | |
| 6 | 24 | |
| 7 | 34 | |
| 8 | 3 | |
| 9 | 36 | |
| 10 | 36 | |
| 11 | 96 | |
| 12 | 18 | |
| 13 | 27 | |
| 14 | 83 | |
| 15 | 4 | |
| 16 | 0 |
About Farha Naaz
Farha Naaz is a scholar working on Computational Theory and Mathematics, Organic Chemistry and Molecular Medicine, having authored 16 papers that have together received 408 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (9 papers), Synthesis and biological activity (7 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Computational Theory and Mathematics (138 citations), Organic Chemistry (204 citations) and Health Informatics (8 citations). Farha Naaz has collaborated with scholars based in India, United States and China. Frequent co-authors include Ramendra K. Singh, Vishal Singh, Ritika Srivastava, Anuradha Singh, Richa Mishra, Rajesh Verma, Nidhi Singh, Madhu Yadav, Quaisar Ali and Malay Kumar Rana. Their work appears in journals such as Molecules, eLife and Colloids and Surfaces B Biointerfaces.
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.