Alexander K. Nussbaum

2.5k total citations
25 papers, 2.0k citations indexed

About

Alexander K. Nussbaum is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Alexander K. Nussbaum has authored 25 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 12 papers in Immunology and 5 papers in Oncology. Recurrent topics in Alexander K. Nussbaum's work include Ubiquitin and proteasome pathways (13 papers), vaccines and immunoinformatics approaches (11 papers) and Immunotherapy and Immune Responses (10 papers). Alexander K. Nussbaum is often cited by papers focused on Ubiquitin and proteasome pathways (13 papers), vaccines and immunoinformatics approaches (11 papers) and Immunotherapy and Immune Responses (10 papers). Alexander K. Nussbaum collaborates with scholars based in Germany, United States and Switzerland. Alexander K. Nussbaum's co-authors include Hansjörg Schild, Stefan Stevanović, Tobias P. Dick, Hans‐Georg Rammensee, Christina Kuttler, Markus Schirle, Hans-Georg Rammensee, Karl-Peter Hadeler, Vincent Detours and Søren Brunak and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Experimental Medicine.

In The Last Decade

Alexander K. Nussbaum

24 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexander K. Nussbaum Germany 18 1.5k 977 508 209 189 25 2.0k
Joyce C. Solheim United States 30 1.1k 0.7× 1.6k 1.6× 714 1.4× 207 1.0× 236 1.2× 94 2.7k
Matthew J. Androlewicz United States 19 935 0.6× 1.5k 1.5× 360 0.7× 283 1.4× 325 1.7× 32 2.2k
Marlène Bouvier United States 18 603 0.4× 892 0.9× 196 0.4× 273 1.3× 147 0.8× 32 1.4k
Vincent C. Luca United States 16 749 0.5× 453 0.5× 447 0.9× 262 1.3× 136 0.7× 30 1.6k
Patricia J. LiWang United States 16 565 0.4× 610 0.6× 686 1.4× 119 0.6× 156 0.8× 34 1.3k
Oliver Schoor Germany 19 951 0.6× 1.2k 1.2× 519 1.0× 438 2.1× 164 0.9× 33 1.9k
Lonnie Lybarger United States 28 729 0.5× 2.0k 2.1× 549 1.1× 440 2.1× 101 0.5× 42 2.8k
Deanne M. Compaan United States 12 949 0.6× 487 0.5× 288 0.6× 157 0.8× 259 1.4× 12 1.4k
Kenneth LeClair United States 19 572 0.4× 1.1k 1.1× 307 0.6× 188 0.9× 230 1.2× 23 1.7k
Naveen Bangia United States 20 678 0.4× 1.0k 1.1× 316 0.6× 184 0.9× 103 0.5× 31 1.6k

Countries citing papers authored by Alexander K. Nussbaum

Since Specialization
Citations

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

Fields of papers citing papers by Alexander K. Nussbaum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alexander K. Nussbaum. 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 Alexander K. Nussbaum. The network helps show where Alexander K. Nussbaum may publish in the future.

Co-authorship network of co-authors of Alexander K. Nussbaum

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

All Works

20 of 20 papers shown
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Hirvela, Alan, Alexander K. Nussbaum, & Herbert D. Pierson. (2012). ESL students’ attitudes toward punctuation. System. 40(1). 11–23. 9 indexed citations
4.
Nussbaum, Alexander K.. (2009). Ethical corporate social responsibility (CSR) and the pharmaceutical industry: A happy couple?. Journal of Medical Marketing Device Diagnostic and Pharmaceutical Marketing. 9(1). 67–76. 35 indexed citations
5.
Hugues, Stéphanie, Alexandre Boissonnas, Alexander K. Nussbaum, et al.. (2007). Dynamic imaging of chemokine-dependent CD8+ T cell help for CD8+ T cell responses. Nature Immunology. 8(9). 921–930. 100 indexed citations
6.
Nussbaum, Alexander K., et al.. (2005). Immunoproteasome-Deficient Mice Mount Largely Normal CD8+ T Cell Responses to Lymphocytic Choriomeningitis Virus Infection and DNA Vaccination. The Journal of Immunology. 175(2). 1153–1160. 44 indexed citations
7.
Bruder, Dunja, Alexander K. Nussbaum, Markus Schirle, et al.. (2005). Multiple synergizing factors contribute to the strength of the CD8+ T cell response against listeriolysin O. International Immunology. 18(1). 89–100. 7 indexed citations
8.
Whitton, J. Lindsay, Mark K. Slifka, Fei Liu, Alexander K. Nussbaum, & Jason K. Whitmire. (2004). The Regulation and Maturation of Antiviral Immune Responses. Advances in virus research. 63. 181–238. 20 indexed citations
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Nussbaum, Alexander K., Christina Kuttler, Stefan Tenzer, & Hansjörg Schild. (2003). Using the World Wide Web for predicting CTL epitopes. Current Opinion in Immunology. 15(1). 69–74. 41 indexed citations
11.
Hakenberg, Jörg, Alexander K. Nussbaum, Hansjörg Schild, et al.. (2003). MAPPP: MHC class I antigenic peptide processing prediction.. PubMed. 2(3). 155–8. 82 indexed citations
12.
Keşmir, Can, Alexander K. Nussbaum, Hansjörg Schild, Vincent Detours, & Søren Brunak. (2002). Prediction of proteasome cleavage motifs by neural networks. Protein Engineering Design and Selection. 15(4). 287–296. 222 indexed citations
13.
Sun, Yuansheng, Alice J.A.M. Sijts, Mingxia Song, et al.. (2002). Expression of the proteasome activator PA28 rescues the presentation of a cytotoxic T lymphocyte epitope on melanoma cells.. PubMed. 62(10). 2875–82. 79 indexed citations
14.
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
15.
Nussbaum, Alexander K., et al.. (2001). PAProC: a prediction algorithm for proteasomal cleavages available on the WWW. Immunogenetics. 53(2). 87–94. 154 indexed citations
16.
Kuttler, Christina, Alexander K. Nussbaum, Tobias P. Dick, et al.. (2000). An algorithm for the prediction of proteasomal cleavages. Journal of Molecular Biology. 301(1). 251–251. 7 indexed citations
17.
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
18.
Kuttler, Christina, Alexander K. Nussbaum, Tobias P. Dick, et al.. (2000). An algorithm for the prediction of proteasomal cleavages. Journal of Molecular Biology. 298(3). 417–429. 128 indexed citations
19.
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
20.
Dick, Tobias P., Alexander K. Nussbaum, Martin Deeg, et al.. (1998). Contribution of Proteasomal β-Subunits to the Cleavage of Peptide Substrates Analyzed with Yeast Mutants. Journal of Biological Chemistry. 273(40). 25637–25646. 209 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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