H. G. Rammensee

506 total citations
9 papers, 453 citations indexed

About

H. G. Rammensee is a scholar working on Immunology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, H. G. Rammensee has authored 9 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 6 papers in Molecular Biology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in H. G. Rammensee's work include T-cell and B-cell Immunology (6 papers), Immunotherapy and Immune Responses (5 papers) and vaccines and immunoinformatics approaches (4 papers). H. G. Rammensee is often cited by papers focused on T-cell and B-cell Immunology (6 papers), Immunotherapy and Immune Responses (5 papers) and vaccines and immunoinformatics approaches (4 papers). H. G. Rammensee collaborates with scholars based in Germany, United States and Japan. H. G. Rammensee's co-authors include Kirsten Falk, Olaf Rötzschke, Stefan Stevanović, John Sidney, Masafumi Takiguchi, Scott Southwood, Ettore Appella, Ralph T. Kubo, Marika Guercio and Víctor H. Engelhard and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and Immunogenetics.

In The Last Decade

H. G. Rammensee

9 papers receiving 444 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
H. G. Rammensee Germany	8	398	154	53	45	41	9	453
Elisa Soprana Italy	11	222 0.6×	90 0.6×	55 1.0×	43 1.0×	33 0.8×	22	374
Hongjin Bian United States	6	225 0.6×	142 0.9×	71 1.3×	16 0.4×	56 1.4×	9	347
J Forman United States	10	359 0.9×	124 0.8×	63 1.2×	8 0.2×	35 0.9×	16	476
O Weinberger United States	12	284 0.7×	132 0.9×	89 1.7×	71 1.6×	40 1.0×	16	414
H Spits Netherlands	12	429 1.1×	58 0.4×	164 3.1×	29 0.6×	83 2.0×	17	526
Fabiola Micheletti Italy	11	224 0.6×	140 0.9×	30 0.6×	188 4.2×	59 1.4×	13	441
Susan Strobl United States	11	294 0.7×	89 0.6×	24 0.5×	20 0.4×	132 3.2×	13	384
P. Bedford United Kingdom	9	248 0.6×	73 0.5×	8 0.2×	69 1.5×	25 0.6×	14	324
Françoise Tielemans Belgium	7	694 1.7×	158 1.0×	38 0.7×	8 0.2×	135 3.3×	8	789
Liusong Yin United States	12	284 0.7×	165 1.1×	104 2.0×	20 0.4×	62 1.5×	17	437

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

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9 of 9 papers shown

1.

Pascolo, Steve, Markus Schirle, Brigitte Gückel, et al.. (2001). A MAGE-A1 HLA-A A*0201 epitope identified by mass spectrometry.. PubMed. 61(10). 4072–7. 71 indexed citations

2.

Yuan, Jie, et al.. (1997). Naturally occurring A pocket polymorphism in HLA-B*2703 increases the dependence on an accessory anchor residue at P1 for optimal binding of nonamer peptides. The Journal of Immunology. 159(10). 4887–4897. 23 indexed citations

3.

Sidney, John, Marika Guercio, Scott Southwood, et al.. (1995). Several HLA alleles share overlapping peptide specificities.. The Journal of Immunology. 154(1). 247–259. 173 indexed citations

4.

Stevanović, Stefan & H. G. Rammensee. (1994). Identification of T-cell epitopes using allele-specific ligand motifs.. PubMed. 7–13. 6 indexed citations

5.

Staege, Martin S., Thomas Dick, R. F. Ertl, et al.. (1994). The antigen self-presentation function of the cytotoxic T-cell clone 10BK.1 depends on reciprocal peptide presentation.. PubMed. 81(3). 333–7. 7 indexed citations

6.

Falk, Kirsten, Olaf Rötzschke, Blaženka Grahovac, et al.. (1993). Allele-specific peptide ligand motifs of HLA-C molecules.. Proceedings of the National Academy of Sciences. 90(24). 12005–12009. 115 indexed citations

7.

Rammensee, H. G.. (1989). Cell surface antigen Thy-1. Immunogenetics. 30(4). 314–314. 21 indexed citations

8.

Rammensee, H. G., et al.. (1984). Class I restricted interaction between suppressor and cytolytic cells in the response to minor histocompatibility antigens.. The Journal of Immunology. 132(2). 668–672. 21 indexed citations

9.

Rammensee, H. G. & J Klein. (1983). Complexity of the histocompatibility-3 region in the mouse.. The Journal of Immunology. 130(6). 2926–2929. 16 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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