Payman Samavarchi‐Tehrani
- Molecular Biology top 5%
- Cell Biology top 1%
- Oncology top 10%
- Cancer Research top 10%
- Surgery
- Co-authors
- Jeffrey L. WranaXaralabos VarelasHoon‐Ki SungKnut WoltjenAndrás NagyAnne‐Claude GingrasAlessandro DattiLaurent David
- Topics
- Pluripotent Stem Cells Research (6 papers)CRISPR and Genetic Engineering (5 papers)Biotin and Related Studies (4 papers)
- Partner nations
- CanadaUnited StatesEstonia
In The Last Decade
Payman Samavarchi‐Tehrani
23 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Molecular Biology 2.4k
- Cell Biology 1.2k
- Oncology 379
- Cancer Research 264
- Surgery 182
Countries citing papers authored by Payman Samavarchi‐Tehrani
This map shows the geographic impact of Payman Samavarchi‐Tehrani'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 Payman Samavarchi‐Tehrani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Payman Samavarchi‐Tehrani more than expected).
Fields of papers citing papers by Payman Samavarchi‐Tehrani
This network shows the impact of papers produced by Payman Samavarchi‐Tehrani. 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 Payman Samavarchi‐Tehrani. The network helps show where Payman Samavarchi‐Tehrani may publish in the future.
Co-authorship network of co-authors of Payman Samavarchi‐Tehrani
This figure shows the co-authorship network connecting the top 25 collaborators of Payman Samavarchi‐Tehrani. A scholar is included among the top collaborators of Payman Samavarchi‐Tehrani 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 Payman Samavarchi‐Tehrani. Payman Samavarchi‐Tehrani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 31 | |
| 2 | 130 | |
| 3 | 1 | |
| 4 | 22 | |
| 5 | 56 | |
| 6 | 167 | |
| 7 | 27 | |
| 8 | 59 | |
| 9 | 23 | |
| 10 | 14 | |
| 11 | 2 | |
| 12 | 19 | |
| 13 | 277 | |
| 14 | 6 | |
| 15 | The Crumbs Complex Couples Cell Density Sensing to Hippo-Dependent Control of the TGF-β-SMAD Pathwaybreakdown → | 553 |
| 16 | Functional Genomics Reveals a BMP-Driven Mesenchymal-to-Epithelial Transition in the Initiation of Somatic Cell Reprogrammingbreakdown → | 777 |
| 17 | 65 | |
| 18 | TAZ controls Smad nucleocytoplasmic shuttling and regulates human embryonic stem-cell self-renewalbreakdown → | 548 |
| 19 | 223 | |
| 20 | 47 |
About Payman Samavarchi‐Tehrani
Payman Samavarchi‐Tehrani is a scholar working on Cell Biology, Immunology and Allergy and Molecular Biology, having authored 23 papers that have together received 3.2k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (6 papers), CRISPR and Genetic Engineering (5 papers) and Biotin and Related Studies (4 papers). The work is most often cited by research in Cell Biology (1.2k citations), Molecular Biology (2.4k citations) and Cancer Research (264 citations). Payman Samavarchi‐Tehrani has collaborated with scholars based in Canada, United States and Estonia. Frequent co-authors include Jeffrey L. Wrana, Xaralabos Varelas, Hoon‐Ki Sung, Knut Woltjen, András Nagy, Anne‐Claude Gingras, Alessandro Datti, Laurent David, Azadeh Golipour and Tobias A. Beyer. Their work appears in journals such as Science, Cell and Journal of Biological Chemistry.
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.