Niels Emmerich

3.2k total citations · 1 hit paper
9 papers, 2.6k citations indexed

About

Niels Emmerich is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Niels Emmerich has authored 9 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Immunology and 3 papers in Oncology. Recurrent topics in Niels Emmerich's work include Ubiquitin and proteasome pathways (6 papers), vaccines and immunoinformatics approaches (4 papers) and Immunotherapy and Immune Responses (4 papers). Niels Emmerich is often cited by papers focused on Ubiquitin and proteasome pathways (6 papers), vaccines and immunoinformatics approaches (4 papers) and Immunotherapy and Immune Responses (4 papers). Niels Emmerich collaborates with scholars based in Germany, Netherlands and Switzerland. Niels Emmerich's co-authors include Hans‐Georg Rammensee, Stefan Stevanović, Jutta Bachmann, Hansjörg Schild, Alexander K. Nussbaum, Harpreet Singh‐Jasuja, René E. M. Toes, Claudia Esser, Jörg Höhfeld and Simon Alberti and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and Cancer Immunology Immunotherapy.

In The Last Decade

Niels Emmerich

9 papers receiving 2.6k citations

Hit Papers

SYFPEITHI: database for M... 1999 2026 2008 2017 1999 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Niels Emmerich Germany 7 1.8k 1.7k 503 494 355 9 2.6k
Judy Bastin United Kingdom 17 909 0.5× 2.6k 1.5× 463 0.9× 330 0.7× 353 1.0× 20 3.9k
Hans-Georg Rammensee Germany 29 1.9k 1.1× 2.7k 1.6× 813 1.6× 607 1.2× 346 1.0× 50 4.0k
Juergen Hammer United States 30 1.7k 1.0× 2.5k 1.5× 367 0.7× 942 1.9× 429 1.2× 62 3.8k
Stuart J. Rodda Australia 21 1.4k 0.8× 902 0.5× 249 0.5× 1.1k 2.2× 363 1.0× 38 2.6k
Toshitada Takemori Japan 37 871 0.5× 3.1k 1.8× 423 0.8× 703 1.4× 321 0.9× 86 4.2k
Nicola Ternette United Kingdom 29 1.6k 0.9× 945 0.6× 627 1.2× 269 0.5× 340 1.0× 75 2.4k
Oliver Schoor Germany 19 951 0.5× 1.2k 0.7× 519 1.0× 164 0.3× 438 1.2× 33 1.9k
Jin‐huan Liu United States 22 1.0k 0.6× 1.2k 0.7× 196 0.4× 417 0.8× 236 0.7× 29 2.4k
Jean‐Pierre Abastado France 41 1.3k 0.7× 3.1k 1.8× 1.3k 2.7× 340 0.7× 572 1.6× 95 4.8k
F. Nina Papavasiliou United States 41 2.5k 1.4× 2.2k 1.3× 391 0.8× 482 1.0× 1.0k 2.9× 78 4.9k

Countries citing papers authored by Niels Emmerich

Since Specialization
Citations

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

Fields of papers citing papers by Niels Emmerich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Niels Emmerich

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

All Works

9 of 9 papers shown
1.
Singh‐Jasuja, Harpreet, Niels Emmerich, & Hans‐Georg Rammensee. (2004). The T�bingen approach: identification, selection, and validation of tumor-associated HLA peptides for cancer therapy. Cancer Immunology Immunotherapy. 53(3). 187–195. 101 indexed citations
2.
Alberti, Simon, Jens Demand, Claudia Esser, et al.. (2003). Ubiquitylation of BAG-1 suggests a novel regulatory mechanism during the sorting of chaperone substrates to the proteasome.. Journal of Biological Chemistry. 278(20). 18702–18703. 5 indexed citations
3.
Alberti, Simon, Jens Demand, Claudia Esser, et al.. (2002). Ubiquitylation of BAG-1 Suggests a Novel Regulatory Mechanism during the Sorting of Chaperone Substrates to the Proteasome. Journal of Biological Chemistry. 277(48). 45920–45927. 148 indexed citations
4.
Hofmann, Matthias, Alexander K. Nussbaum, Niels Emmerich, Lars Stoltze, & Hansjörg Schild. (2001). Mechanisms of MHC class I-restricted antigen presentation. Expert Opinion on Therapeutic Targets. 5(3). 379–393. 4 indexed citations
5.
6.
Toes, René E. M., Alexander K. Nussbaum, Sylvie Degermann, et al.. (2001). Discrete Cleavage Motifs of Constitutive and Immunoproteasomes Revealed by Quantitative Analysis of Cleavage Products. The Journal of Experimental Medicine. 194(1). 1–12. 304 indexed citations
7.
Emmerich, Niels, Alexander K. Nussbaum, Stefan Stevanović, et al.. (2000). The Human 26 S and 20 S Proteasomes Generate Overlapping but Different Sets of Peptide Fragments from a Model Protein Substrate. Journal of Biological Chemistry. 275(28). 21140–21148. 98 indexed citations
8.
Stoltze, Lars, Alexander K. Nussbaum, Alice J.A.M. Sijts, et al.. (2000). The function of the proteasome system in MHC class I antigen processing. Immunology Today. 21(7). 317–319. 38 indexed citations
9.
Rammensee, Hans‐Georg, et al.. (1999). SYFPEITHI: database for MHC ligands and peptide motifs. Immunogenetics. 50(3-4). 213–219. 1893 indexed citations breakdown →

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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