H-G Rammensee

447 total citations
4 papers, 354 citations indexed

About

H-G Rammensee is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, H-G Rammensee has authored 4 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Immunology. Recurrent topics in H-G Rammensee's work include Immunotherapy and Immune Responses (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and vaccines and immunoinformatics approaches (1 paper). H-G Rammensee is often cited by papers focused on Immunotherapy and Immune Responses (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and vaccines and immunoinformatics approaches (1 paper). H-G Rammensee collaborates with scholars based in Germany. H-G Rammensee's co-authors include Steve Pascolo, Birgit Scheel, Benjamin Weide, Jochen Probst, Bernd J. Pichler, Ingmar Hoerr, Ludger Große‐Hovest, Daniel J. Kowalewski, Heiko Schuster and Lothar Kanz and has published in prestigious journals such as Leukemia and Gene Therapy.

In The Last Decade

H-G Rammensee

4 papers receiving 344 citations

Peers

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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4 of 4 papers shown

#	Work	Indexed citations
1	Mapping the HLA ligandome landscape of acute myeloid leukemia: a targeted approach toward peptide-based immunotherapy 2014 ·Leukemia ·Claudia Berlin, Daniel J. Kowalewski, Heiko Schuster, Nora Mirza, Juliane S. Walz, (unknown), (unknown), (unknown), Lothar Kanz, H-G Rammensee, Stefan Stevanović, (unknown)	95
2	Generation, selection and preclinical characterization of an Fc-optimized FLT3 antibody for the treatment of myeloid leukemia 2012 ·Leukemia ·Martin Hofmann, Ludger Große‐Hovest, (unknown), Elwira Pyż, M. Bamberg, Steffen Aulwurm, (unknown), Kenneth A. Schwartz, Sebastian P. Haen, Karin Schilbach, H-G Rammensee, Helmut R. Salih, G. Jung	61
3	A bispecific single-chain antibody that mediates target cell-restricted, supra-agonistic CD28 stimulation and killing of lymphoma cells 2008 ·Leukemia ·(unknown), Ludger Große‐Hovest, Martin Hofmann‐Apitius, H-G Rammensee, Gundram Jung	30
4	Spontaneous cellular uptake of exogenous messenger RNA in vivo is nucleic acid-specific, saturable and ion dependent 2007 ·Gene Therapy ·Jochen Probst, Benjamin Weide, Birgit Scheel, Bernd J. Pichler, Ingmar Hoerr, H-G Rammensee, Steve Pascolo	168

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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