Claes Öhlén

5.6k total citations · 3 hit papers
50 papers, 4.6k citations indexed

About

Claes Öhlén is a scholar working on Immunology, Oncology and Virology. According to data from OpenAlex, Claes Öhlén has authored 50 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Immunology, 11 papers in Oncology and 10 papers in Virology. Recurrent topics in Claes Öhlén's work include T-cell and B-cell Immunology (38 papers), Immune Cell Function and Interaction (38 papers) and Immunotherapy and Immune Responses (22 papers). Claes Öhlén is often cited by papers focused on T-cell and B-cell Immunology (38 papers), Immune Cell Function and Interaction (38 papers) and Immunotherapy and Immune Responses (22 papers). Claes Öhlén collaborates with scholars based in United States, Sweden and United Kingdom. Claes Öhlén's co-authors include Klas Kärre, Hans‐Gustaf Ljunggren, Alain Townsend, Petter Höglund, Judy Bastin, Eric S. Huseby, Philip D. Greenberg, Joan Goverman, Thea Brabb and Denny Liggitt and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Claes Öhlén

50 papers receiving 4.5k 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.

Association of class I major histocompatibility heavy and light chains induced by viral peptides

1989 867 citations Alain Townsend, Claes Öhlén et al. Nature profile →
Empty MHC class I molecules come out in the cold

1990 810 citations Claes Öhlén, Petter Höglund et al. Nature profile →
A Pathogenic Role for Myelin-Specific Cd8+ T Cells in a Model for Multiple Sclerosis

2001 500 citations Eric S. Huseby, Claes Öhlén et al. The Journal of Experimental Medicine profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Claes Öhlén United States	28	4.0k	871	657	422	306	50	4.6k
Louise J. McHeyzer‐Williams United States	26	3.7k 0.9×	518 0.6×	700 1.1×	447 1.1×	234 0.8×	39	4.6k
Christopher D.C. Allen United States	23	3.9k 1.0×	695 0.8×	1.0k 1.6×	274 0.6×	173 0.6×	37	5.2k
Thomas Brocker Germany	38	4.2k 1.1×	1.1k 1.3×	1.1k 1.7×	404 1.0×	535 1.7×	87	5.4k
Jennifer L. Cannons United States	31	4.9k 1.2×	1.2k 1.3×	760 1.2×	447 1.1×	375 1.2×	45	5.9k
Mary K. Kennedy United States	16	3.1k 0.8×	594 0.7×	412 0.6×	567 1.3×	142 0.5×	22	3.7k
Maarten Zijlstra United States	21	3.1k 0.8×	1000 1.1×	1.2k 1.8×	525 1.2×	843 2.8×	32	4.8k
Annaiah Cariappa United States	24	2.4k 0.6×	344 0.4×	958 1.5×	205 0.5×	255 0.8×	34	3.3k
Yacov Ron United States	33	2.0k 0.5×	392 0.5×	1.0k 1.6×	392 0.9×	615 2.0×	79	3.8k
Alexander B. H. Bakker Netherlands	27	2.9k 0.7×	895 1.0×	1.1k 1.6×	434 1.0×	239 0.8×	28	4.2k
Ellen I. H. van der Voort Netherlands	28	4.7k 1.2×	1.5k 1.7×	967 1.5×	371 0.9×	367 1.2×	37	5.4k

Countries citing papers authored by Claes Öhlén

Since Specialization

Citations

This map shows the geographic impact of Claes Öhlén'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 Claes Öhlén with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Claes Öhlén more than expected).

Fields of papers citing papers by Claes Öhlén

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Claes Öhlén. 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 Claes Öhlén. The network helps show where Claes Öhlén may publish in the future.

Co-authorship network of co-authors of Claes Öhlén

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

All Works

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20 of 20 papers shown

Ayala, Victor I., Matthew T. Trivett, Lori V. Coren, et al.. (2016). A novel SIV gag-specific CD4+T-cell clone suppresses SIVmac239 replication in CD4+T cells revealing the interplay between antiviral effector cells and their infected targets. Virology. 493. 100–112. 6 indexed citations

Barsov, Eugene V., et al.. (2011). Transduction of SIV-Specific TCR Genes into Rhesus Macaque CD8+ T Cells Conveys the Ability to Suppress SIV Replication. PLoS ONE. 6(8). e23703–e23703. 15 indexed citations

Patel, Vainav, Antonio Valentin, Viraj Kulkarni, et al.. (2010). Long-lasting humoral and cellular immune responses and mucosal dissemination after intramuscular DNA immunization. Vaccine. 28(30). 4827–4836. 47 indexed citations

Minang, Jacob T., Eugene V. Barsov, Fang Yuan, et al.. (2008). Efficient inhibition of SIV replication in rhesus CD4+ T-cell clones by autologous immortalized SIV-specific CD8+ T-cell clones. Virology. 372(2). 430–441. 17 indexed citations

Teague, Ryan M., Philip D. Greenberg, Carla Fowler, et al.. (2008). Peripheral CD8+ T Cell Tolerance to Self-Proteins Is Regulated Proximally at the T Cell Receptor. Immunity. 28(5). 662–674. 39 indexed citations

Rice, Jason, Michelle L. Dossett, Claes Öhlén, et al.. (2008). DNA fusion gene vaccination mobilizes effective anti‐leukemic cytotoxic T lymphocytes from a tolerized repertoire. European Journal of Immunology. 38(8). 2118–2130. 15 indexed citations

Andersen, Hanné, Eugene V. Barsov, Matthew T. Trivett, et al.. (2007). Transduction with Human Telomerase Reverse Transcriptase Immortalizes A Rhesus Macaque CD8 ⁺ T Cell Clone with Maintenance of Surface Marker Phenotype And Function. AIDS Research and Human Retroviruses. 23(3). 456–465. 18 indexed citations

Teague, Ryan M., Blythe Sather, Jilian A. Sacks, et al.. (2006). Interleukin-15 rescues tolerant CD8+ T cells for use in adoptive immunotherapy of established tumors. Nature Medicine. 12(3). 335–341. 186 indexed citations

Öhlén, Claes, et al.. (2001). Expression of a Tolerizing Tumor Antigen in Peripheral Tissue Does Not Preclude Recovery of High-Affinity CD8+ T Cells or CTL Immunotherapy of Tumors Expressing the Antigen. The Journal of Immunology. 166(4). 2863–2870. 57 indexed citations

10.

Bernhard, Helga, Eric S. Huseby, Susan L. Hand, et al.. (2000). Dendritic Cells Lose Ability to Present Protein Antigen after Stimulating Antigen-Specific T Cell Responses, despite Upregulation of MHC Class II Expression. Immunobiology. 201(5). 568–582. 14 indexed citations

11.

Huseby, Eric S., Claes Öhlén, & Joan Goverman. (1999). Cutting Edge: Myelin Basic Protein-Specific Cytotoxic T Cell Tolerance Is Maintained In Vivo by a Single Dominant Epitope in H-2k Mice. The Journal of Immunology. 163(3). 1115–1118. 24 indexed citations

12.

Glas, Rickard, Claes Öhlén, Petter Höglund, & Klas Kärre. (1994). The CD8+ T cell repertoire in beta 2-microglobulin-deficient mice is biased towards reactivity against self-major histocompatibility class I.. The Journal of Experimental Medicine. 179(2). 661–672. 89 indexed citations

13.

Moretta, Lorenzo, et al.. (1992). Allorecognition by NK cells: nonself or no self?. Immunology Today. 13(8). 300–306. 150 indexed citations

14.

Öhlén, Claes, et al.. (1991). The RMA-S lymphoma mutant; consequences of a peptide loading defect on immunological recognition and graft rejection. International Journal of Cancer. 47(S6). 38–44. 35 indexed citations

15.

Höglund, Petter, Rickard Glas, Claes Öhlén, Hans‐Gustaf Ljunggren, & Klas Kärre. (1991). Alteration of the natural killer repertoire in H-2 transgenic mice: specificity of rapid lymphoma cell clearance determined by the H-2 phenotype of the target.. The Journal of Experimental Medicine. 174(2). 327–334. 54 indexed citations

16.

Öhlén, Claes, Hans‐Gustaf Ljunggren, Lowell B Foster, et al.. (1990). Resistance to H-2-restricted but not to allo-H2-specific graft and cytotoxic T lymphocyte responses in lymphoma mutant.. The Journal of Immunology. 145(1). 52–58. 42 indexed citations

17.

Öhlén, Claes, et al.. (1989). Effect of IFN‐γ treatment and in vivo passage of murine tumor cell lines on their sensitivity to lymphokine‐activated killef (LAK) cell lysis in vitro; association with H‐2 expression on the target cells. International Journal of Cancer. 44(4). 669–674. 16 indexed citations

18.

Townsend, Alain, et al.. (1989). Association of class I major histocompatibility heavy and light chains induced by viral peptides. Nature. 340(6233). 443–448. 867 indexed citations breakdown →

19.

Yamasaki, Toshiki, Hans‐Gustaf Ljunggren, Claes Öhlén, George Klein, & Klas Kärre. (1989). Enhanced H-2 expression and T-cell-dependent rejection after intracerebral transplantation of the murine lymphoma YAC-1. Cellular Immunology. 120(2). 387–395. 4 indexed citations

20.

Ljunggren, Hans‐Gustaf, et al.. (1988). Afferent and efferent cellular interactions in natural resistance directed against MHC class I deficient tumor grafts.. The Journal of Immunology. 140(2). 671–678. 37 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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