Jan Mueller-Berghaus

836 total citations
11 papers, 651 citations indexed

About

Jan Mueller-Berghaus is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Jan Mueller-Berghaus has authored 11 papers receiving a total of 651 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 7 papers in Immunology and 4 papers in Molecular Biology. Recurrent topics in Jan Mueller-Berghaus's work include Immunotherapy and Immune Responses (5 papers), CAR-T cell therapy research (4 papers) and T-cell and B-cell Immunology (3 papers). Jan Mueller-Berghaus is often cited by papers focused on Immunotherapy and Immune Responses (5 papers), CAR-T cell therapy research (4 papers) and T-cell and B-cell Immunology (3 papers). Jan Mueller-Berghaus collaborates with scholars based in Germany, Sweden and United States. Jan Mueller-Berghaus's co-authors include Dirk Schadendorf, Walter J. Storkus, Francesco Paolo Schena, Loreto Gesualdo, Ronald M. Bukowski, Tomohide Tatsumi, Lisa Kierstead, James H. Finke, John M. Kirkwood and Elena Ranieri and has published in prestigious journals such as The Journal of Experimental Medicine, Blood and PLoS ONE.

In The Last Decade

Jan Mueller-Berghaus

11 papers receiving 645 citations

Peers

Jan Mueller-Berghaus
Comparison fields: 5 of 67
  • Oncology 383
  • Immunology 357
  • Molecular Biology 235
  • Pathology and Forensic Medicine 46
  • Cancer Research 46
Replace Alessia Zoso with:
Alessia Zoso United States
Eleni Venetsanakos United States
Judith Kohlmeyer Germany
Inbar Azoulay‐Alfaguter United States
Anaïs Boisson Belgium
Elliot H. Akama‐Garren United States
Naoshi Kawamura Japan
Martina Fatho Germany
Jesper Zeuthen Denmark
Dai Ogata Japan
Alessia Zoso United States View profile →
Citations per field, relative to Jan Mueller-Berghaus
Jan Mueller-Berghaus · 1×
Citations per year, relative to Jan Mueller-Berghaus
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Countries citing papers authored by Jan Mueller-Berghaus

Since Specialization
Citations

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

Fields of papers citing papers by Jan Mueller-Berghaus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan Mueller-Berghaus. 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 Jan Mueller-Berghaus. The network helps show where Jan Mueller-Berghaus may publish in the future.

Co-authorship network of co-authors of Jan Mueller-Berghaus

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

All Works

11 of 11 papers shown
# Work Indexed citations
1 29
2 47
3 24
4 28
5 96
6 103
7 16
8 15
9 242
10
In vitro generated cytolytic T lymphocytes reactive against head and neck cancer recognize multiple epitopes presented by HLA-A2, including peptides derived from the p53 and MDM-2 proteins.
18
11 33

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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