Reza Ferdousi
- Molecular Biology
- Computational Theory and Mathematics top 2%
- Pharmacology top 10%
- Public Health, Environmental and Occupational Health
- Artificial Intelligence
- Co-authors
- Yadollah OmidiReza SafdariAli Akbar JamaliLeila R KalankeshJiuyong LiEsmaeil EbrahimieAfsoon AsadzadehParvin Samadi Pakchin
- Topics
- Computational Drug Discovery Methods (10 papers)Pharmacogenetics and Drug Metabolism (5 papers)Bioinformatics and Genomic Networks (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsBMC Bioinformatics
- Partner nations
- IranUnited StatesAustralia
In The Last Decade
Reza Ferdousi
32 papers receiving 623 citations
Peers
Comparison fields: 5 of 126
- Molecular Biology 301
- Computational Theory and Mathematics 255
- Pharmacology 71
- Public Health, Environmental and Occupational Health 49
- Artificial Intelligence 47
Countries citing papers authored by Reza Ferdousi
This map shows the geographic impact of Reza Ferdousi'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 Reza Ferdousi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Reza Ferdousi more than expected).
Fields of papers citing papers by Reza Ferdousi
This network shows the impact of papers produced by Reza Ferdousi. 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 Reza Ferdousi. The network helps show where Reza Ferdousi may publish in the future.
Co-authorship network of co-authors of Reza Ferdousi
This figure shows the co-authorship network connecting the top 25 collaborators of Reza Ferdousi. A scholar is included among the top collaborators of Reza Ferdousi 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 Reza Ferdousi. Reza Ferdousi 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 | 4 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 11 | |
| 6 | 41 | |
| 7 | 0 | |
| 8 | 5 | |
| 9 | 4 | |
| 10 | 27 | |
| 11 | 55 | |
| 12 | 35 | |
| 13 | 7 | |
| 14 | 38 | |
| 15 | 33 | |
| 16 | 26 | |
| 17 | 128 | |
| 18 | 9 | |
| 19 | 30 | |
| 20 | 77 |
About Reza Ferdousi
Reza Ferdousi is a scholar working on Health Information Management, Issues, ethics and legal aspects and Pharmacology, having authored 34 papers that have together received 634 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (10 papers), Pharmacogenetics and Drug Metabolism (5 papers) and Bioinformatics and Genomic Networks (4 papers). The work is most often cited by research in Computational Theory and Mathematics (255 citations), Pharmacology (71 citations) and Health Informatics (10 citations). Reza Ferdousi has collaborated with scholars based in Iran, United States and Australia. Frequent co-authors include Yadollah Omidi, Reza Safdari, Ali Akbar Jamali, Leila R Kalankesh, Jiuyong Li, Esmaeil Ebrahimie, Afsoon Asadzadeh, Parvin Samadi Pakchin, Peyman Rezaei‐Hachesu and Bita Mesgarpour. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and BMC Bioinformatics.
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.