Gustav Røder

1.6k total citations
18 papers, 1.1k citations indexed

About

Gustav Røder is a scholar working on Molecular Biology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Gustav Røder has authored 18 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 13 papers in Immunology and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Gustav Røder's work include Immunotherapy and Immune Responses (12 papers), vaccines and immunoinformatics approaches (11 papers) and T-cell and B-cell Immunology (9 papers). Gustav Røder is often cited by papers focused on Immunotherapy and Immune Responses (12 papers), vaccines and immunoinformatics approaches (11 papers) and T-cell and B-cell Immunology (9 papers). Gustav Røder collaborates with scholars based in Denmark, Sweden and Croatia. Gustav Røder's co-authors include Søren Buus, Mikkel Harndahl, Morten Nielsen, Kasper Lamberth, Sune Justesen, Ole Lund, Claus Lundegaard, Thomas Blicher, Alessandro Sette and Bjoern Peters and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and PLoS ONE.

In The Last Decade

Gustav Røder

18 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gustav Røder Denmark 13 733 663 259 188 122 18 1.1k
Laura Raddrizzani Italy 10 558 0.8× 607 0.9× 244 0.9× 114 0.6× 100 0.8× 18 975
Guang Lan Zhang United States 17 687 0.9× 841 1.3× 344 1.3× 257 1.4× 132 1.1× 34 1.2k
Sophie Tourdot France 21 743 1.0× 420 0.6× 172 0.7× 163 0.9× 168 1.4× 39 1.2k
Tiziana Sturniolo Italy 11 765 1.0× 727 1.1× 288 1.1× 107 0.6× 133 1.1× 14 1.2k
Edita Karosiene Denmark 7 508 0.7× 650 1.0× 300 1.2× 135 0.7× 97 0.8× 8 873
Gomathinayagam Sinnathamby United States 18 409 0.6× 378 0.6× 73 0.3× 135 0.7× 222 1.8× 30 797
Oezlem Tuereci Germany 5 401 0.5× 462 0.7× 210 0.8× 78 0.4× 83 0.7× 10 664
Tilman Dumrese Germany 19 1.0k 1.4× 345 0.5× 82 0.3× 195 1.0× 264 2.2× 24 1.3k
Stella Redpath United States 9 772 1.1× 182 0.3× 145 0.6× 251 1.3× 216 1.8× 17 1.3k
Wilfried Bardet United States 18 759 1.0× 459 0.7× 116 0.4× 120 0.6× 190 1.6× 26 1.0k

Countries citing papers authored by Gustav Røder

Since Specialization
Citations

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

Fields of papers citing papers by Gustav Røder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gustav Røder

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

All Works

18 of 18 papers shown
1.
Almholt, Kasper, Jesper Pass, Gustav Røder, et al.. (2020). Identification and preclinical development of an anti-proteolytic uPA antibody for rheumatoid arthritis. Journal of Molecular Medicine. 98(4). 585–593. 1 indexed citations
2.
3.
Røder, Gustav, et al.. (2012). Stability of peptide–HLA‐I complexes and tapasin folding facilitation – tools to define immunogenic peptides. FEBS Letters. 586(9). 1336–1343. 5 indexed citations
4.
Harndahl, Mikkel, et al.. (2012). Peptide‐MHC class I stability is a better predictor than peptide affinity of CTL immunogenicity. European Journal of Immunology. 42(6). 1405–1416. 164 indexed citations
5.
Røder, Gustav, et al.. (2011). Tapasin Discriminates Peptide-Human Leukocyte Antigen-A*02:01 Complexes Formed with Natural Ligands. Journal of Biological Chemistry. 286(23). 20547–20557. 12 indexed citations
6.
Harndahl, Mikkel, Michael Rasmussen, Gustav Røder, & Søren Buus. (2010). Real-time, high-throughput measurements of peptide–MHC-I dissociation using a scintillation proximity assay. Journal of Immunological Methods. 374(1-2). 5–12. 55 indexed citations
7.
Røder, Gustav, Anna Darabi, Mikkel Harndahl, et al.. (2009). The outermost N‐terminal region of tapasin facilitates folding of major histocompatibility complex class I. European Journal of Immunology. 39(10). 2682–2694. 11 indexed citations
8.
Harndahl, Mikkel, Sune Justesen, Kasper Lamberth, et al.. (2009). Peptide Binding to HLA Class I Molecules: Homogenous, High-Throughput Screening, and Affinity Assays. SLAS DISCOVERY. 14(2). 173–180. 68 indexed citations
9.
Røder, Gustav, O. Kristensen, J.S. Kastrup, Søren Buus, & Michael Gajhede. (2008). Structure of a SARS coronavirus-derived peptide bound to the human major histocompatibility complex class I molecule HLA-B*1501. Acta Crystallographica Section F Structural Biology and Crystallization Communications. 64(6). 459–462. 8 indexed citations
10.
Røder, Gustav, et al.. (2008). Viral Proteins Interfering with Antigen Presentation Target the Major Histocompatibility Complex Class I Peptide-Loading Complex. Journal of Virology. 82(17). 8246–8252. 21 indexed citations
11.
Lamberth, Kasper, Gustav Røder, Mikkel Harndahl, et al.. (2008). The peptide-binding specificity of HLA-A*3001 demonstrates membership of the HLA-A3 supertype. Immunogenetics. 60(11). 633–643. 18 indexed citations
12.
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
13.
Wang, Mingjun, Kasper Lamberth, Mikkel Harndahl, et al.. (2006). CTL epitopes for influenza A including the H5N1 bird flu; genome-, pathogen-, and HLA-wide screening. Vaccine. 25(15). 2823–2831. 92 indexed citations
14.
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
15.
Snabe, Torben, Gustav Røder, Maria Teresa Neves‐Petersen, Søren Buus, & Steffen B. Petersen. (2005). Oriented coupling of major histocompatibility complex (MHC) to sensor surfaces using light assisted immobilisation technology. Biosensors and Bioelectronics. 21(8). 1553–1559. 18 indexed citations
16.
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
17.
Sylvester‐Hvid, Christina, Morten Nielsen, Kasper Lamberth, et al.. (2004). SARS CTL Vaccine Candidates — HLA Supertype, Genome‐Wide Scanning and Biochemical Validation. Scandinavian Journal of Immunology. 59(6). 632–632. 3 indexed citations
18.
Sailer, D & Gustav Røder. (1980). Treatment of non-insulin dependent diabetic adults with a new glycoside hydrolase inhibitor (Bay g 5421).. PubMed. 30(12). 2182–5. 17 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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