Yakup Tanriver
- Immunology top 1%
- Surgery top 5%
- Oncology
- Molecular Biology
- Epidemiology
- Co-authors
- Andreas DiefenbachKarolina EbertChristoph S. N. KloseThomas HoylerSebastian J. ArnoldElina A. KissAri WaismanAndrew L. Croxford
- Topics
- Immune Cell Function and Interaction (23 papers)T-cell and B-cell Immunology (14 papers)IL-33, ST2, and ILC Pathways (12 papers)
- Cited by
- ImmunologyTransplantationSurgery
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Yakup Tanriver
34 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 82
- Immunology 2.0k
- Surgery 996
- Oncology 186
- Molecular Biology 177
- Epidemiology 124
Countries citing papers authored by Yakup Tanriver
This map shows the geographic impact of Yakup Tanriver'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 Yakup Tanriver with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yakup Tanriver more than expected).
Fields of papers citing papers by Yakup Tanriver
This network shows the impact of papers produced by Yakup Tanriver. 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 Yakup Tanriver. The network helps show where Yakup Tanriver may publish in the future.
Co-authorship network of co-authors of Yakup Tanriver
This figure shows the co-authorship network connecting the top 25 collaborators of Yakup Tanriver. A scholar is included among the top collaborators of Yakup Tanriver 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 Yakup Tanriver. Yakup Tanriver is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 4 | |
| 3 | 20 | |
| 4 | 69 | |
| 5 | 28 | |
| 6 | 5 | |
| 7 | 16 | |
| 8 | 13 | |
| 9 | 96 | |
| 10 | Differentiation of Type 1 ILCs from a Common Progenitor to All Helper-like Innate Lymphoid Cell Lineagesbreakdown → | 840 |
| 11 | A T-bet gradient controls the fate and function of CCR6−RORγt+ innate lymphoid cellsbreakdown → | 567 |
| 12 | 14 | |
| 13 | 33 | |
| 14 | 25 | |
| 15 | 7 | |
| 16 | 61 | |
| 17 | 228 | |
| 18 | In-vitro generated human CD4(+)CD25(high) regulatory T cells with indirect allospecificity as potential patient-specific reagents to promote donor-specific transplantation tolerance | 7 |
| 19 | 16 | |
| 20 | 11 |
About Yakup Tanriver
Yakup Tanriver is a scholar working on Immunology, Transplantation and Applied Microbiology and Biotechnology, having authored 35 papers that have together received 2.3k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (23 papers), T-cell and B-cell Immunology (14 papers) and IL-33, ST2, and ILC Pathways (12 papers). The work is most often cited by research in Immunology (2.0k citations), Transplantation (88 citations) and Surgery (996 citations). Yakup Tanriver has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Andreas Diefenbach, Karolina Ebert, Christoph S. N. Klose, Thomas Hoyler, Sebastian J. Arnold, Elina A. Kiss, Ari Waisman, Andrew L. Croxford, Vera Schwierzeck and Melanie Flach. Their work appears in journals such as Nature, Cell and Journal of Clinical Investigation.
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.