Ole Werdelin

2.1k total citations
76 papers, 1.6k citations indexed

About

Ole Werdelin is a scholar working on Immunology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ole Werdelin has authored 76 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Immunology, 25 papers in Molecular Biology and 17 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ole Werdelin's work include Immune Cell Function and Interaction (24 papers), Immunotherapy and Immune Responses (19 papers) and T-cell and B-cell Immunology (17 papers). Ole Werdelin is often cited by papers focused on Immune Cell Function and Interaction (24 papers), Immunotherapy and Immune Responses (19 papers) and T-cell and B-cell Immunology (17 papers). Ole Werdelin collaborates with scholars based in Denmark, United States and United Kingdom. Ole Werdelin's co-authors include Otto Brændstrup, Morten Meldal, Søren Buus, Poul Ranløv, Inge Marie Svane, S. Mouritsen, Robert T. McCluskey, Luisa Galli‐Stampino, Jørgen Rygaard and Søren Mouritsen and has published in prestigious journals such as The Journal of Experimental Medicine, The Journal of Immunology and Immunological Reviews.

In The Last Decade

Ole Werdelin

75 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ole Werdelin Denmark 22 967 652 345 240 176 76 1.6k
Philip C. Familletti United States 12 799 0.8× 525 0.8× 269 0.8× 281 1.2× 66 0.4× 24 1.4k
Arthur K. Kimura United States 19 690 0.7× 452 0.7× 289 0.8× 198 0.8× 72 0.4× 41 1.2k
Els C.M. Brinkman-Van der Linden United States 17 618 0.6× 998 1.5× 276 0.8× 90 0.4× 213 1.2× 18 1.4k
Andrea Woods United States 14 1.2k 1.2× 383 0.6× 389 1.1× 255 1.1× 53 0.3× 19 1.7k
J H Freed United States 20 903 0.9× 473 0.7× 353 1.0× 95 0.4× 58 0.3× 35 1.4k
Marian Elliott Koshland United States 19 798 0.8× 654 1.0× 470 1.4× 108 0.5× 51 0.3× 34 1.5k
Reuven Laskov Israel 21 644 0.7× 1.0k 1.6× 692 2.0× 177 0.7× 41 0.2× 74 1.8k
Randall N. Knibbs United States 15 652 0.7× 616 0.9× 147 0.4× 260 1.1× 140 0.8× 25 1.2k
Gerald L. Waneck United States 23 781 0.8× 736 1.1× 200 0.6× 135 0.6× 51 0.3× 36 1.7k
Mark Sutton‐Smith United Kingdom 21 586 0.6× 1.3k 2.0× 201 0.6× 138 0.6× 377 2.1× 29 2.0k

Countries citing papers authored by Ole Werdelin

Since Specialization
Citations

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

Fields of papers citing papers by Ole Werdelin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ole Werdelin

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

All Works

20 of 20 papers shown
1.
2.
Brimnes, Marie K., Teis Jensen, Trine N. Jørgensen, et al.. (2002). Low Expression of Insulin in the Thymus of Non-obese Diabetic Mice. Journal of Autoimmunity. 19(4). 203–213. 25 indexed citations
3.
Jensen, Teis, Mette Nielsen, Monika Gad, et al.. (2001). Radically altered T cell receptor signaling in glycopeptide-specific T cell hybridoma induced by antigen with minimal differences in the glycan group. European Journal of Immunology. 31(11). 3197–3206. 10 indexed citations
4.
Komba, Shiro, Ole Werdelin, Teis Jensen, & Morten Meldal. (2000). Synthesis of tumor associated sialyl-T-glycopeptides and their immunogenicity. Journal of Peptide Science. 6(12). 585–593. 13 indexed citations
5.
Jensen, Teis, et al.. (1999). Shared structural motifs in TCR of glycopeptide-recognizing T cell hybridomas. European Journal of Immunology. 29(9). 2759–2768. 8 indexed citations
6.
Jensen, Troels S., Per Brinch Hansen, Luisa Galli‐Stampino, et al.. (1997). Carbohydrate and peptide specificity of MHC class II-restricted T cell hybridomas raised against an O-glycosylated self peptide. The Journal of Immunology. 158(8). 3769–3778. 56 indexed citations
7.
Svane, Inge Marie, et al.. (1997). Interferon‐γ‐Induced MHC Class I Expression and Defects in Jak/Stat Signalling in Methylcholanthrene‐Induced Sarcomas. Scandinavian Journal of Immunology. 46(4). 379–387. 19 indexed citations
8.
Jensen, Teis, Luisa Galli‐Stampino, Søren Mouritsen, et al.. (1996). T cell recognition of Tn‐glycosylated peptide antigens. European Journal of Immunology. 26(6). 1342–1349. 58 indexed citations
9.
Svane, Inge Marie, et al.. (1996). Chemically induced sarcomas from nude mice are more immunogenic than similar sarcomas from congenic normal mice. European Journal of Immunology. 26(8). 1844–1850. 55 indexed citations
10.
11.
Mouritsen, Søren, et al.. (1994). Attachment of oligosaccharides to peptide antigen profoundly affects binding to major histocompatibility complex class II molecules and peptide immunogenicity. European Journal of Immunology. 24(5). 1066–1072. 46 indexed citations
12.
13.
Petersen, Bodil Laub, et al.. (1993). Expression of β2-microglobulin by premalignant epithelium. Apmis. 101(7-12). 529–536. 13 indexed citations
14.
Mouritsen, S., Morten Meldal, Ole Werdelin, Anders S. Hansen, & Søren Buus. (1992). MHC molecules protect T cell epitopes against proteolytic destruction. The Journal of Immunology. 149(6). 1987–1993. 76 indexed citations
15.
Petersen, Bodil Laub, et al.. (1991). Tumors developing in nude mice express unusually large amounts of MHC class I antigens. Apmis. 99(7-12). 1111–1119. 5 indexed citations
16.
Werdelin, Ole, Søren Mouritsen, Bodil Laub Petersen, Alessandro Sette, & Søren Buus. (1988). Facts on the Fragmentation of Antigens in Presenting Cells, on the Association of Antigen Fragments with MHC Molecules in Cell‐Free Systems, and Speculation on the Cell Biology of Antigen Processing. Immunological Reviews. 106(1). 181–193. 21 indexed citations
17.
Werdelin, Ole. (1987). T cells recognize antigen alone and not MHC molecules. Immunology Today. 8(3). 80–84. 14 indexed citations
18.
Nielsen, Morten H., Henning Tarp Jensen, Otto Brændstrup, & Ole Werdelin. (1974). MACROPHAGE-LYMPHOCYTE CLUSTERS IN THE IMMUNE RESPONSE TO SOLUBLE PROTEIN ANTIGEN IN VITRO. The Journal of Experimental Medicine. 140(5). 1260–1272. 70 indexed citations
19.
Werdelin, Ole, et al.. (1974). MACROPHAGE-LYMPHOCYTE CLUSTERS IN THE IMMUNE RESPONSE TO SOLUBLE PROTEIN ANTIGEN IN VITRO. The Journal of Experimental Medicine. 140(5). 1245–1259. 84 indexed citations
20.
Werdelin, Ole & Robert T. McCluskey. (1971). THE NATURE AND THE SPECIFICITY OF MONONUCLEAR CELLS IN EXPERIMENTAL AUTOIMMUNE INFLAMMATIONS AND THE MECHANISMS LEADING TO THEIR ACCUMULATION. The Journal of Experimental Medicine. 133(6). 1242–1263. 69 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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