Can Keşmir

8.3k total citations · 2 hit papers
84 papers, 5.5k citations indexed

About

Can Keşmir is a scholar working on Immunology, Molecular Biology and Virology. According to data from OpenAlex, Can Keşmir has authored 84 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Immunology, 50 papers in Molecular Biology and 16 papers in Virology. Recurrent topics in Can Keşmir's work include vaccines and immunoinformatics approaches (41 papers), T-cell and B-cell Immunology (35 papers) and Immune Cell Function and Interaction (31 papers). Can Keşmir is often cited by papers focused on vaccines and immunoinformatics approaches (41 papers), T-cell and B-cell Immunology (35 papers) and Immune Cell Function and Interaction (31 papers). Can Keşmir collaborates with scholars based in Netherlands, Denmark and United States. Can Keşmir's 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 and has published in prestigious journals such as Nucleic Acids Research, The Journal of Experimental Medicine and Journal of Clinical Oncology.

In The Last Decade

Can Keşmir

83 papers receiving 5.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Tumor Exome Analysis Reveals Neoantigen-Specific T-Cell Reactivity in an Ipilimumab-Responsive Melanoma

2013 624 citations Can Keşmir et al. profile →
Properties of MHC Class I Presented Peptides That Enhance Immunogenicity

2013 623 citations Jorg J. A. Calis, Can Keşmir et al. profile →

Peers

Can Keşmir

IMMUN

ONCOL

RNMI

VIROL

William H. Hildebrand United States

Pedro A. Reche Spain

Kasper Lamberth Denmark

Carla Oseroff United States

Jeff Alexander United States

Claus Lundegaard Denmark

Gillis R. Otten United States

Hedda Wardemann Germany

J E Coligan United States

Ronald C. Kennedy United States

William H. Hildebrand United States

Can Keşmir

4.7k ×1.5

IMMUN

2.3k ×0.8

1.4k ×1.2

ONCOL

707 ×0.8

RNMI

828 ×1.0

VIROL

Citations per year, relative to Can Keşmir Can Keşmir (= 1×) peers William H. Hildebrand

Countries citing papers authored by Can Keşmir

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Can Keşmir

This figure shows the co-authorship network connecting the top 25 collaborators of Can Keşmir. A scholar is included among the top collaborators of Can Keşmir 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 Can Keşmir. Can Keşmir is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Bedate, Alberto Miranda, Michiel van der Vlist, Alexander Yermanos, et al.. (2024). A novel bioinformatics pipeline for the identification of immune inhibitory receptors as potential therapeutic targets. eLife. 13. 4 indexed citations

Wortel, Inge M. N., Can Keşmir, Rob J. de Boer, Judith N. Mandl, & Johannes Textor. (2020). Is T Cell Negative Selection a Learning Algorithm?. Cells. 9(3). 690–690. 12 indexed citations

Geneugelijk, Kirsten, Hanneke W. M. van Deutekom, Jorg J. A. Calis, et al.. (2019). Exploratory Study of Predicted Indirectly ReCognizable HLA Epitopes in Mismatched Hematopoietic Cell Transplantations. Frontiers in Immunology. 10. 880–880. 14 indexed citations

Keşmir, Can, et al.. (2019). Revealing factors determining immunodominant responses against dominant epitopes. Immunogenetics. 72(1-2). 109–118. 19 indexed citations

Carrillo-Bustamante, Paola, Rob J. de Boer, & Can Keşmir. (2017). Specificity of inhibitory KIRs enables NK cells to detect changes in an altered peptide environment. Immunogenetics. 70(2). 87–97. 5 indexed citations

Dorp, Christiaan H. van, et al.. (2016). Long-term adaptation of the influenza A virus by escaping cytotoxic T-cell recognition. Scientific Reports. 6(1). 33334–33334. 20 indexed citations

Schellens, Ingrid M. M., Ilka Hoof, Hugo D. Meiring, et al.. (2015). Comprehensive Analysis of the Naturally Processed Peptide Repertoire: Differences between HLA-A and B in the Immunopeptidome. PLoS ONE. 10(9). e0136417–e0136417. 35 indexed citations

Calis, Jorg J. A., Peter Reinink, Christin Keller, Peter M. Kloetzel, & Can Keşmir. (2014). Role of peptide processing predictions in T cell epitope identification: contribution of different prediction programs. Immunogenetics. 67(2). 85–93. 34 indexed citations

Boer, Rob J. de, et al.. (2013). Complementarity of Binding Motifs is a General Property of HLA-A and HLA-B Molecules and Does Not Seem to Effect HLA Haplotype Composition. Frontiers in Immunology. 4. 374–374. 3 indexed citations

10.

Keşmir, Can, et al.. (2012). Protective HLA Molecules Determine Infection Outcome by Preferential Presentation of Peptides From Conserved Hepatitis C Proteins. Immunology. 137. 483–483. 1 indexed citations

11.

Hoof, Ilka, et al.. (2011). HLA class I allele promiscuity revisited. Immunogenetics. 63(11). 691–701. 43 indexed citations

12.

Baarle, Debbie van, et al.. (2009). A Comparative Study of HLA Binding Affinity and Ligand Diversity: Implications for Generating Immunodominant CD8+ T Cell Responses. The Journal of Immunology. 182(3). 1526–1532. 42 indexed citations

13.

Baarle, Debbie van, et al.. (2009). HLA-B molecules target more conserved regions of the HIV-1 proteome. AIDS. 24(2). 211–215. 12 indexed citations

14.

Schellens, Ingrid M. M., Can Keşmir, Frank Miedema, Debbie van Baarle, & José A. M. Borghans. (2008). An unanticipated lack of consensus cytotoxic T lymphocyte epitopes in HIV-1 databases: the contribution of prediction programs. AIDS. 22(1). 33–37. 34 indexed citations

15.

Borghans, José A. M., Anne Mølgaard, Rob J. de Boer, & Can Keşmir. (2007). HLA Alleles Associated with Slow Progression to AIDS Truly Prefer to Present HIV-1 p24. PLoS ONE. 2(9). e920–e920. 84 indexed citations

16.

Rapin, Nicolas, Can Keşmir, Sune Pletscher-Frankild, et al.. (2006). Modelling the Human Immune System by Combining Bioinformatics and Systems Biology Approaches. Journal of Biological Physics. 32(3-4). 335–353. 16 indexed citations

17.

Lund, Ole, Morten Nielsen, Claus Lundegaard, Can Keşmir, & Søren Brunak. (2005). Immunological Bioinformatics (Computational Molecular Biology). The MIT Press eBooks. 22 indexed citations

18.

Keşmir, Can. (2003). Clonal Exhaustion as a Result of Immune Deviation. Bulletin of Mathematical Biology. 65(3). 359–374. 11 indexed citations

19.

Jensen, Lars Juhl, Ramneek Gupta, Nikolaj Blom, et al.. (2002). Prediction of Human Protein Function from Post-translational Modifications and Localization Features. Journal of Molecular Biology. 319(5). 1257–1265. 244 indexed citations

20.

Petersen, Marianne, et al.. (2001). Identification of barley and rye varieties using matrix‐assisted laser desorption/ionisation time‐of‐flight mass spectrometry with neural networks. Rapid Communications in Mass Spectrometry. 15(6). 440–445. 16 indexed citations

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.

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