Jamal Shamsara
- Molecular Biology
- Oncology
- Computational Theory and Mathematics top 10%
- Cancer Research
- Health, Toxicology and Mutagenesis
- Co-authors
- Mohammad RamezaniAmir Hooshang MohammadpourHossein AlidadiMaryam SarkhoshAli Asghar NajafpoorAndrea TittarelliFarzin HadizadehSepideh Elyasi
- Topics
- Computational Drug Discovery Methods (12 papers)Protease and Inhibitor Mechanisms (8 papers)Peptidase Inhibition and Analysis (6 papers)
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaInternational Journal of Pharmaceutics
- Partner nations
- IranGermanyUnited States
In The Last Decade
Jamal Shamsara
45 papers receiving 535 citations
Peers
Comparison fields: 5 of 122
- Molecular Biology 176
- Oncology 68
- Computational Theory and Mathematics 67
- Cancer Research 58
- Health, Toxicology and Mutagenesis 56
Countries citing papers authored by Jamal Shamsara
This map shows the geographic impact of Jamal Shamsara'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 Jamal Shamsara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jamal Shamsara more than expected).
Fields of papers citing papers by Jamal Shamsara
This network shows the impact of papers produced by Jamal Shamsara. 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 Jamal Shamsara. The network helps show where Jamal Shamsara may publish in the future.
Co-authorship network of co-authors of Jamal Shamsara
This figure shows the co-authorship network connecting the top 25 collaborators of Jamal Shamsara. A scholar is included among the top collaborators of Jamal Shamsara 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 Jamal Shamsara. Jamal Shamsara 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 | 32 | |
| 4 | 17 | |
| 5 | 7 | |
| 6 | 7 | |
| 7 | 8 | |
| 8 | 20 | |
| 9 | 2 | |
| 10 | 11 | |
| 11 | COMPARISON OF THE CYTOTOXIC EFFECTS OF UMBELLIPRENIN AND AURAPTENE | 6 |
| 12 | 11 | |
| 13 | 9 | |
| 14 | 4 | |
| 15 | 0 | |
| 16 | 35 | |
| 17 | 26 | |
| 18 | 10 | |
| 19 | 4 | |
| 20 | 26 |
About Jamal Shamsara
Jamal Shamsara is a scholar working on Cancer Research, Computational Theory and Mathematics and Physiology, having authored 48 papers that have together received 545 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (12 papers), Protease and Inhibitor Mechanisms (8 papers) and Peptidase Inhibition and Analysis (6 papers). The work is most often cited by research in Transplantation (25 citations), Computational Theory and Mathematics (67 citations) and Health, Toxicology and Mutagenesis (56 citations). Jamal Shamsara has collaborated with scholars based in Iran, Germany and United States. Frequent co-authors include Mohammad Ramezani, Amir Hooshang Mohammadpour, Hossein Alidadi, Maryam Sarkhosh, Ali Asghar Najafpoor, Andrea Tittarelli, Farzin Hadizadeh, Sepideh Elyasi, Amir Hooshang Mohammadpour and Gholamreza Karimi. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and International Journal of Pharmaceutics.
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.