Can Keşmir
- Virology top 0.5%
- HIV Research and Treatment 16
- Immunology top 0.5%
- T-cell and B-cell Immunology 35
- Immune Cell Function and Interaction 31
- Immunotherapy and Immune Responses 25
- Transplantation top 5%
- Molecular Biology top 2%
- vaccines and immunoinformatics approaches 41
- Ubiquitin and proteasome pathways 6
- Oncology top 2%
- CAR-T cell therapy research 5
-
- Monoclonal and Polyclonal Antibodies Research 8
- Co-authors
- Rob J. de BoerSøren BrunakMorten NielsenOle LundClaus LundegaardVincent DetoursJorg J. A. CalisKarina Yusim
- Cited by
- VirologyImmunologyTransplantation
- Journals
- Immunogenetics (14 papers)Frontiers in Immunology (7 papers)The Journal of Immunology (5 papers)
- Partner nations
- NetherlandsDenmarkUnited States
In The Last Decade
Can Keşmir
83 papers receiving 5.4k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Virology 869
- Immunology 3.1k
- Transplantation 120
- Molecular Biology 3.0k
- Oncology 1.1k
Countries citing papers authored by Can Keşmir
This map shows the geographic impact of Can Keşmir'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 Can Keşmir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Can Keşmir more than expected).
Fields of papers citing papers by Can Keşmir
This network shows the impact of papers produced by Can Keşmir. 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 Can Keşmir. The network helps show where Can Keşmir may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Can Keşmir, 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 | 2024 | 4 | |
| 2 | 2020 | 12 | |
| 3 | 2019 | 14 | |
| 4 | 2019 | 19 | |
| 5 | 2017 | 5 | |
| 6 | 2016 | 20 | |
| 7 | 2015 | 35 | |
| 8 | 2014 | 34 | |
| 9 | 2013 | 3 | |
| 10 | Protective HLA Molecules Determine Infection Outcome by Preferential Presentation of Peptides From Conserved Hepatitis C Proteins | 2012 | 1 |
| 11 | 2011 | 43 | |
| 12 | 2009 | 42 | |
| 13 | 2009 | 12 | |
| 14 | 2008 | 34 | |
| 15 | 2007 | 84 | |
| 16 | 2006 | 16 | |
| 17 | Immunological Bioinformatics (Computational Molecular Biology) | 2005 | 22 |
| 18 | 2003 | 11 | |
| 19 | 2002 | 244 | |
| 20 | 2001 | 16 |
About Can Keşmir
Can Keşmir is a scholar working on Virology, Immunology and Molecular Biology, having authored 84 papers that have together received 5.5k indexed citations. Recurring topics across this work include vaccines and immunoinformatics approaches (41 papers), T-cell and B-cell Immunology (35 papers), Immune Cell Function and Interaction (31 papers), Immunotherapy and Immune Responses (25 papers), HIV Research and Treatment (16 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), Ubiquitin and proteasome pathways (6 papers) and CAR-T cell therapy research (5 papers). The work is most often cited by research in Virology (869 citations), Immunology (3.1k citations) and Transplantation (120 citations). Can Keşmir has collaborated with scholars based in Netherlands, Denmark and United States. Frequent co-authors include Rob J. de Boer, Søren Brunak, Morten Nielsen, Ole Lund, Claus Lundegaard, Vincent Detours, Jorg J. A. Calis, Karina Yusim, Brian Gaschen and Bette Korber. Their work appears in journals such as Immunogenetics, Frontiers in Immunology, The Journal of Immunology, AIDS and PLoS Computational Biology.
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.