H-G Rammensee

1.4k total citations · 1 hit paper
18 papers, 1.2k citations indexed

About

H-G Rammensee is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, H-G Rammensee has authored 18 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Immunology, 7 papers in Molecular Biology and 4 papers in Oncology. Recurrent topics in H-G Rammensee's work include Immunotherapy and Immune Responses (12 papers), Immune Cell Function and Interaction (10 papers) and T-cell and B-cell Immunology (8 papers). H-G Rammensee is often cited by papers focused on Immunotherapy and Immune Responses (12 papers), Immune Cell Function and Interaction (10 papers) and T-cell and B-cell Immunology (8 papers). H-G Rammensee collaborates with scholars based in Germany, Switzerland and Japan. H-G Rammensee's co-authors include Kirsten Falk, Olaf Rötzschke, Stefan Stevanović, Roland Martinꝉ, Hubert Kalbacher, Matthias Kalbus, Harald Kropshofer, J E Coligan, Anne B. Vogt and W. Herr and has published in prestigious journals such as The Journal of Experimental Medicine, Journal of Clinical Oncology and The Journal of Immunology.

In The Last Decade

H-G Rammensee

14 papers receiving 1.2k citations

Hit Papers

Peptides Naturally Presented by MHC Class I Molecules 1993 2026 2004 2015 1993 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
H-G Rammensee Germany 10 986 457 204 180 130 18 1.2k
Kevin T. Hogan United States 22 882 0.9× 425 0.9× 277 1.4× 159 0.9× 96 0.7× 45 1.2k
Ruben Dyall United States 11 909 0.9× 314 0.7× 250 1.2× 110 0.6× 111 0.9× 11 1.0k
Stefan Stevanović Germany 15 929 0.9× 596 1.3× 270 1.3× 161 0.9× 128 1.0× 27 1.3k
Carla J. Aldrich United States 17 1.1k 1.1× 524 1.1× 229 1.1× 84 0.5× 121 0.9× 28 1.5k
Bhanu Sadasivan United States 6 942 1.0× 475 1.0× 150 0.7× 103 0.6× 157 1.2× 6 1.3k
Lori R. Covey United States 21 855 0.9× 436 1.0× 275 1.3× 149 0.8× 61 0.5× 43 1.3k
Vasco M. Barreto Portugal 14 909 0.9× 605 1.3× 154 0.8× 109 0.6× 174 1.3× 24 1.3k
Elissa Keogh United States 16 591 0.6× 520 1.1× 134 0.7× 124 0.7× 167 1.3× 20 1.1k
Jacques Roland France 13 828 0.8× 328 0.7× 129 0.6× 294 1.6× 71 0.5× 34 1.2k
G J Hämmerling Germany 25 1.5k 1.5× 556 1.2× 233 1.1× 320 1.8× 149 1.1× 37 1.8k

Countries citing papers authored by H-G Rammensee

Since Specialization
Citations

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

Fields of papers citing papers by H-G Rammensee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H-G Rammensee. 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 H-G Rammensee. The network helps show where H-G Rammensee may publish in the future.

Co-authorship network of co-authors of H-G Rammensee

This figure shows the co-authorship network connecting the top 25 collaborators of H-G Rammensee. A scholar is included among the top collaborators of H-G Rammensee 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 H-G Rammensee. H-G Rammensee 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.
Flatz, Lukas, M. Frueh, Stefan Diem, et al.. (2023). 1016O Autoimmunity against surfactant protein B drives immune checkpoint inhibitor-related pneumonitis in patients with NSCLC. Annals of Oncology. 34. S619–S619.
2.
Neidert, Marian C., Daniel J. Kowalewski, Fabian Wolpert, et al.. (2017). P06.05 The natural HLA ligandome of glioblastoma stem-like cells: Antigen discovery for T-cell based immunotherapy. Neuro-Oncology. 19(suppl_3). iii50–iii50. 1 indexed citations
3.
Kowalewski, Daniel J., Juliane S. Walz, Linus Backert, et al.. (2016). Carfilzomib alters the HLA-presented peptidome of myeloma cells and impairs presentation of peptides with aromatic C-termini. Blood Cancer Journal. 6(4). e411–e411. 14 indexed citations
4.
Brooks, Suzanne, Matthew Arno, H-G Rammensee, et al.. (2009). Identification of a novel cancer-testis antigen as a target for the immunotherapy of acute myeloid leukaemia (AML). 145. 19–19. 1 indexed citations
5.
Gouttefangeas, Cécile, Jörg Hennenlotter, Ángel Concha, et al.. (2009). Higher HLA class I expression in renal cell carcinoma than in autologous normal tissue. Tissue Antigens. 75(2). 110–118. 20 indexed citations
6.
Singh‐Jasuja, Harpreet, Steffen Walter, Aaron T. Mayer, et al.. (2007). Correlation of T-cell response, clinical activity and regulatory T-cell levels in renal cell carcinoma patients treated with IMA901, a novel multi-peptide vaccine. Journal of Clinical Oncology. 25(18_suppl). 3017–3017. 1 indexed citations
7.
Singh, Harpreet, Toni Weinschenk, Claudia Lemmel, et al.. (2004). The Tübingen approach: identification, selection and validation of tumor-associated HLA peptides for cancer therapy. Cancer Cell International. 4(S1). 1 indexed citations
8.
Decker, Patrice & H-G Rammensee. (2001). Nucleosome is a necrosis inducer for lymphocytes: consequences in systemic lupus erythematosus. Arthritis Research & Therapy. 3(S2). 1 indexed citations
9.
Salle, Henri de la, Elisabeth Houssaint, Marie‐Alix Peyrat, et al.. (1997). Human peptide transporter deficiency: importance of HLA-B in the presentation of TAP-independent EBV antigens. The Journal of Immunology. 158(10). 4555–4563. 38 indexed citations
10.
Scheibenbogen, Carmen, Stephanie Mayer, Stefan Stevanović, et al.. (1997). A sensitive ELISPOT assay for detection of CD8+ T lymphocytes specific for HLA class I-binding peptide epitopes derived from influenza proteins in the blood of healthy donors and melanoma patients.. PubMed. 3(2). 221–6. 109 indexed citations
11.
Barouch, Dan H., Stefan Stevanović, Lynda Tussey, et al.. (1995). HLA-A2 subtypes are functionally distinct in peptide binding and presentation.. The Journal of Experimental Medicine. 182(6). 1847–1856. 107 indexed citations
12.
Vogt, Anne B., Harald Kropshofer, Hubert Kalbacher, et al.. (1994). Ligand motifs of HLA-DRB5*0101 and DRB1*1501 molecules delineated from self-peptides.. The Journal of Immunology. 153(4). 1665–1673. 151 indexed citations
13.
Falk, Kirsten, Olaf Rötzschke, Stefan Stevanović, et al.. (1994). Analysis of a naturally occurring HLA class I-restricted viral epitope.. PubMed. 82(3). 337–42. 23 indexed citations
14.
Malcherek, Georg, Volker Gnau, Stefan Stevanović, et al.. (1994). Analysis of allele-specific contact sites of natural HLA-DR17 ligands.. The Journal of Immunology. 153(3). 1141–1149. 39 indexed citations
15.
Rammensee, H-G. (1994). How the quest to identify minor histocompatibility antigens led to something more important.. PubMed. 11–6. 1 indexed citations
16.
Rammensee, H-G, Kirsten Falk, & Olaf Rötzschke. (1993). Peptides Naturally Presented by MHC Class I Molecules. Annual Review of Immunology. 11(1). 213–244. 666 indexed citations breakdown →
17.
Sekimata, Masayuki, Peter Griem, K Egawa, H-G Rammensee, & Masafumi Takiguchi. (1992). Isolation of human minor histocompatibility peptides. International Immunology. 4(2). 301–304. 16 indexed citations
18.
Rammensee, H-G. (1991). Maintenance of self tolerance in CD4+ T lymphocytes by antigen presentation on resting B cells--a hypothesis.. PubMed. 7 Suppl 1. 26–8. 7 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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