Tarig Bashir
Impact in
- Oncology top 10%
- Cancer-related Molecular Pathways
- Cell Biology top 5%
- Microtubule and mitosis dynamics
Papers in
-
- Ubiquitin and proteasome pathways 6
- RNA Research and Splicing 2
- CRISPR and Genetic Engineering 2
- Oncology 10
- Cancer-related Molecular Pathways 7
- Co-authors
- Michele Pagano (6 shared papers)Daniele Guardavaccaro (2 shared papers)N. Valerio Dorrello (1 shared paper)Virginia Amador (1 shared paper)Jean Rommelaere (3 shared papers)Celina Cziepluch (1 shared paper)Mutsumi Miyauchi (1 shared paper)Yasusei Kudo (1 shared paper)
- Journals
- Cell Cycle (3 papers)Journal of Virology (2 papers)Bioscience Reports (1 paper)Journal of Pharmacology and Experimental Therapeutics (1 paper)SLAS DISCOVERY (1 paper)
- Partner nations
- United StatesFranceGermany
In The Last Decade
Tarig Bashir
17 papers receiving 948 citations
Peers
Comparison fields: 5 of 80
- Oncology 420
- Cell Biology 237
- Molecular Biology 749
- Cancer Research 85
- Animal Science and Zoology 53
Countries citing papers authored by Tarig Bashir
This map shows the geographic impact of Tarig Bashir'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 Tarig Bashir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tarig Bashir more than expected).
Fields of papers citing papers by Tarig Bashir
This network shows the impact of papers produced by Tarig Bashir. 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 Tarig Bashir. The network helps show where Tarig Bashir may publish in the future.
Co-authors
The 25 scholars most cited alongside Tarig Bashir, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 417 | |
| 2 | 2004 | 70 | |
| 3 | 2001 | 66 | |
| 4 | 2000 | 65 | |
| 5 | 2015 | 58 | |
| 6 | 2003 | 56 | |
| 7 | 2011 | 45 | |
| 8 | 2010 | 31 | |
| 9 | 2004 | 25 | |
| 10 | 2013 | 24 | |
| 11 | 2012 | 23 | |
| 12 | 2011 | 22 | |
| 13 | 2000 | 19 | |
| 14 | 2019 | 17 | |
| 15 | 2019 | 13 | |
| 16 | 2022 | 5 | |
| 17 | 1999 | 2 |
About Tarig Bashir
Tarig Bashir is a scholar working on Molecular Biology, Oncology, Cell Biology, Genetics and Cancer Research, having authored 17 papers that have together received 958 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (7 papers), Ubiquitin and proteasome pathways (6 papers), Virus-based gene therapy research (3 papers), Microtubule and mitosis dynamics (3 papers), RNA Research and Splicing (2 papers), CRISPR and Genetic Engineering (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Prostate Cancer Treatment and Research (2 papers). The work is most often cited by research in Oncology (420 citations), Cell Biology (237 citations), Molecular Biology (749 citations), Cancer Research (85 citations) and Animal Science and Zoology (53 citations). Tarig Bashir has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Michele Pagano, Daniele Guardavaccaro, N. Valerio Dorrello, Virginia Amador, Jean Rommelaere, Celina Cziepluch, Mutsumi Miyauchi, Yasusei Kudo, Takashi Takata and Masae Kitagawa. Their work appears in journals such as Cell Cycle, Journal of Virology, Bioscience Reports, Journal of Pharmacology and Experimental Therapeutics and SLAS DISCOVERY.
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.