Armin Madadkar‐Sobhani
- Molecular Biology
- Organic Chemistry top 10%
- Computational Theory and Mathematics top 5%
- Pharmacology top 10%
- Oncology
- Co-authors
- Afshin FassihiLotfollah SaghaieMohsen ShahlaeiMassoud MahmoudianVı́ctor GuallarAbbas ShafieeKarim MahnamMahboubeh Mansourian
- Topics
- Computational Drug Discovery Methods (14 papers)Protein Structure and Dynamics (6 papers)Synthesis and biological activity (5 papers)
- Journals
- Nucleic Acids ResearchSHILAP Revista de lepidopterologíaExpert Systems with Applications
In The Last Decade
Armin Madadkar‐Sobhani
34 papers receiving 795 citations
Peers
Comparison fields: 5 of 111
- Molecular Biology 440
- Organic Chemistry 309
- Computational Theory and Mathematics 172
- Pharmacology 98
- Oncology 98
Countries citing papers authored by Armin Madadkar‐Sobhani
This map shows the geographic impact of Armin Madadkar‐Sobhani'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 Armin Madadkar‐Sobhani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Armin Madadkar‐Sobhani more than expected).
Fields of papers citing papers by Armin Madadkar‐Sobhani
This network shows the impact of papers produced by Armin Madadkar‐Sobhani. 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 Armin Madadkar‐Sobhani. The network helps show where Armin Madadkar‐Sobhani may publish in the future.
Co-authorship network of co-authors of Armin Madadkar‐Sobhani
This figure shows the co-authorship network connecting the top 25 collaborators of Armin Madadkar‐Sobhani. A scholar is included among the top collaborators of Armin Madadkar‐Sobhani 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 Armin Madadkar‐Sobhani. Armin Madadkar‐Sobhani 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 | 8 | |
| 3 | 4 | |
| 4 | 4 | |
| 5 | 65 | |
| 6 | 12 | |
| 7 | 59 | |
| 8 | 2 | |
| 9 | 14 | |
| 10 | 5 | |
| 11 | 11 | |
| 12 | 5 | |
| 13 | 16 | |
| 14 | 19 | |
| 15 | 23 | |
| 16 | 63 | |
| 17 | 82 | |
| 18 | 20 | |
| 19 | FLEXIBLE LIGAND DOCKING STUDIES OF MATRIX METALLOPROTEINASE INHIBITORS USING LAMARCKIAN GENETIC ALGORITHM | 9 |
| 20 | CYTOTOXICITY OF PEGANUM HARMALA L. SEEDS EXTRACT AND ITS RELATIONSHIP WITH CONTENTS OF ß-CARBOLINE ALKALOIDS | 8 |
About Armin Madadkar‐Sobhani
Armin Madadkar‐Sobhani is a scholar working on Computational Theory and Mathematics, Physiology and Organic Chemistry, having authored 34 papers that have together received 813 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (14 papers), Protein Structure and Dynamics (6 papers) and Synthesis and biological activity (5 papers). The work is most often cited by research in Computational Theory and Mathematics (172 citations), Organic Chemistry (309 citations) and Toxicology (30 citations). Armin Madadkar‐Sobhani has collaborated with scholars based in Iran, Spain and Canada. Frequent co-authors include Afshin Fassihi, Lotfollah Saghaie, Mohsen Shahlaei, Massoud Mahmoudian, Vı́ctor Guallar, Abbas Shafiee, Karim Mahnam, Mahboubeh Mansourian, Ramin Miri and Mehdi Khoshneviszadeh. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Expert Systems with Applications.
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.