Sune Justesen

5.2k total citations
38 papers, 2.1k citations indexed

About

Sune Justesen is a scholar working on Immunology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Sune Justesen has authored 38 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Immunology, 22 papers in Molecular Biology and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Sune Justesen's work include Immunotherapy and Immune Responses (19 papers), vaccines and immunoinformatics approaches (15 papers) and T-cell and B-cell Immunology (14 papers). Sune Justesen is often cited by papers focused on Immunotherapy and Immune Responses (19 papers), vaccines and immunoinformatics approaches (15 papers) and T-cell and B-cell Immunology (14 papers). Sune Justesen collaborates with scholars based in Denmark, United States and France. Sune Justesen's co-authors include Søren Buus, Morten Nielsen, Ole Lund, Claus Lundegaard, Kasper Lamberth, Thomas Blicher, Bjoern Peters, Alessandro Sette, Mikkel Harndahl and Gustav Røder and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and PLoS ONE.

In The Last Decade

Sune Justesen

36 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sune Justesen Denmark 22 1.2k 1.2k 561 382 194 38 2.1k
Bernhard B. Singer Germany 34 972 0.8× 699 0.6× 755 1.3× 794 2.1× 289 1.5× 92 2.9k
Brandon J. DeKosky United States 14 704 0.6× 946 0.8× 681 1.2× 222 0.6× 189 1.0× 33 2.1k
Holly M. Horton United States 20 836 0.7× 668 0.6× 658 1.2× 591 1.5× 88 0.5× 48 1.8k
Anthony H. Keeble United Kingdom 26 1.3k 1.0× 769 0.6× 551 1.0× 130 0.3× 146 0.8× 37 2.2k
Paul J. Tacken Netherlands 24 1.4k 1.1× 2.4k 2.0× 242 0.4× 555 1.5× 250 1.3× 41 3.2k
Christoph M. Hammers Germany 18 1.7k 1.4× 815 0.7× 1.8k 3.3× 405 1.1× 156 0.8× 56 3.7k
Marika Guercio United States 16 913 0.7× 1.6k 1.3× 413 0.7× 343 0.9× 276 1.4× 23 2.1k
Patricia L. Mottram Australia 27 1.1k 0.9× 1.9k 1.6× 461 0.8× 210 0.5× 291 1.5× 74 3.2k
Anette Stryhn Denmark 25 1.3k 1.1× 1.4k 1.1× 522 0.9× 630 1.6× 472 2.4× 61 2.8k
Hakan Kalay Netherlands 31 1.3k 1.1× 1.5k 1.2× 198 0.4× 258 0.7× 147 0.8× 60 2.4k

Countries citing papers authored by Sune Justesen

Since Specialization
Citations

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

Fields of papers citing papers by Sune Justesen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sune Justesen

This figure shows the co-authorship network connecting the top 25 collaborators of Sune Justesen. A scholar is included among the top collaborators of Sune Justesen 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 Sune Justesen. Sune Justesen 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
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Subramaniam, Krishanthi, Morten Orebo Holmström, Lance Turtle, et al.. (2023). Impact of peptide:HLA complex stability for the identification of SARS-CoV-2-specific CD8+T cells. Frontiers in Immunology. 14. 1151659–1151659. 4 indexed citations
3.
Lecerf, Maxime, Rémi Noé, Sune Justesen, et al.. (2023). Hyperoxidized Species of Heme Have a Potent Capacity to Induce Autoreactivity of Human IgG Antibodies. International Journal of Molecular Sciences. 24(4). 3416–3416. 1 indexed citations
4.
Justesen, Sune, et al.. (2022). Conservative pattern of interaction of bat and human IgG antibodies with FcRn. Developmental & Comparative Immunology. 139. 104579–104579. 2 indexed citations
5.
Bing, So Jin, Sune Justesen, Wells W. Wu, et al.. (2022). Differential T cell immune responses to deamidated adeno-associated virus vector. Molecular Therapy — Methods & Clinical Development. 24. 255–267. 25 indexed citations
6.
Zhang, Jing, Francesca Pia Caruso, K. Jason, et al.. (2019). The combination of neoantigen quality and T lymphocyte infiltrates identifies glioblastomas with the longest survival. Communications Biology. 2(1). 135–135. 42 indexed citations
7.
Fadel, Tarek R., Fiona A. Sharp, Nalini Vudattu, et al.. (2014). A carbon nanotube–polymer composite for T-cell therapy. Nature Nanotechnology. 9(8). 639–647. 200 indexed citations
8.
Brændstrup, Peter, Sune Justesen, Michael Rasmussen, et al.. (2014). Identification and HLA-Tetramer-Validation of Human CD4+ and CD8+ T Cell Responses against HCMV Proteins IE1 and IE2. PLoS ONE. 9(4). e94892–e94892. 19 indexed citations
9.
Gunnarsen, Kristin Støen, Sune Justesen, Søren Buus, et al.. (2013). Chaperone-assisted thermostability engineering of a soluble T cell receptor using phage display. Scientific Reports. 3(1). 1162–1162. 24 indexed citations
10.
Brændstrup, Peter, Sune Justesen, Thomas Østerbye, et al.. (2013). MHC Class II Tetramers Made from Isolated Recombinant α and β Chains Refolded with Affinity-Tagged Peptides. PLoS ONE. 8(9). e73648–e73648. 12 indexed citations
11.
Wang, Mingjun, Sheila Tuyet Tang, Anette Stryhn, et al.. (2011). Identification of MHC class II restricted T-cell-mediated reactivity against MHC class I binding Mycobacterium tuberculosis peptides. Immunology. 132(4). 482–491. 23 indexed citations
12.
Wang, Mingjun, Mette Voldby Larsen, Morten Nielsen, et al.. (2010). HLA Class I Binding 9mer Peptides from Influenza A Virus Induce CD4+ T Cell Responses. PLoS ONE. 5(5). e10533–e10533. 25 indexed citations
13.
Justesen, Sune, et al.. (2009). Functional recombinant MHC class II molecules and high-throughput peptide-binding assays. PubMed. 5(1). 2–2. 46 indexed citations
14.
Justesen, Sune, et al.. (2009). Recombinant chymosin used for exact and complete removal of a prochymosin derived fusion tag releasing intact native target protein. Protein Science. 18(5). 1023–1032. 5 indexed citations
15.
Nielsen, Morten, Claus Lundegaard, Thomas Blicher, et al.. (2008). Quantitative Predictions of Peptide Binding to Any HLA-DR Molecule of Known Sequence: NetMHCIIpan. PLoS Computational Biology. 4(7). e1000107–e1000107. 240 indexed citations
16.
Nielsen, Morten, Claus Lundegaard, Thomas Blicher, et al.. (2007). NetMHCpan, a Method for Quantitative Predictions of Peptide Binding to Any HLA-A and -B Locus Protein of Known Sequence. PLoS ONE. 2(8). e796–e796. 475 indexed citations
17.
18.
Røder, Gustav, Thomas Blicher, Sune Justesen, et al.. (2006). Crystal structures of two peptide–HLA-B*1501 complexes; structural characterization of the HLA-B62 supertype. Acta Crystallographica Section D Biological Crystallography. 62(11). 1300–1310. 21 indexed citations
19.
Lund, Ole, Morten Nielsen, Can Keşmir, et al.. (2004). Definition of supertypes for HLA molecules using clustering of specificity matrices. Immunogenetics. 55(12). 797–810. 221 indexed citations
20.
Sylvester‐Hvid, Christina, Morten Nielsen, Kasper Lamberth, et al.. (2004). SARS CTL vaccine candidates; HLA supertype‐, genome‐wide scanning and biochemical validation. Tissue Antigens. 63(5). 395–400. 47 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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