Stefan Stevanović

1.7k total citations
27 papers, 1.3k citations indexed

About

Stefan Stevanović is a scholar working on Immunology, Molecular Biology and Hematology. According to data from OpenAlex, Stefan Stevanović has authored 27 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Immunology, 8 papers in Molecular Biology and 7 papers in Hematology. Recurrent topics in Stefan Stevanović's work include Immunotherapy and Immune Responses (10 papers), T-cell and B-cell Immunology (9 papers) and Immune Cell Function and Interaction (6 papers). Stefan Stevanović is often cited by papers focused on Immunotherapy and Immune Responses (10 papers), T-cell and B-cell Immunology (9 papers) and Immune Cell Function and Interaction (6 papers). Stefan Stevanović collaborates with scholars based in Germany, United States and Australia. Stefan Stevanović's co-authors include Kirsten Falk, Günther Jung, Hans‐Georg Rammensee, Peter Walden, Hans-Georg Rammensee, Volker Gnau, Marcus Groettrup, Peter M. Kloetzel, Thomas Ruppert and Lothar Kuehn and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Blood.

In The Last Decade

Stefan Stevanović

27 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stefan Stevanović Germany 15 929 596 270 161 128 27 1.3k
Blair Ardman United States 16 959 1.0× 591 1.0× 196 0.7× 210 1.3× 130 1.0× 24 1.6k
Tatsuhiko Ozawa Japan 23 607 0.7× 523 0.9× 369 1.4× 308 1.9× 188 1.5× 73 1.5k
Sidorenko Sp Ukraine 19 1.3k 1.4× 743 1.2× 359 1.3× 198 1.2× 222 1.7× 45 2.0k
Josiane Ragimbeau France 15 746 0.8× 304 0.5× 369 1.4× 156 1.0× 137 1.1× 20 1.2k
J J O'Shea United States 15 773 0.8× 268 0.4× 342 1.3× 113 0.7× 136 1.1× 16 1.2k
Megan Barnden Australia 14 1.9k 2.1× 467 0.8× 376 1.4× 113 0.7× 239 1.9× 15 2.4k
Annamalai Selvakumar United States 23 1.7k 1.8× 343 0.6× 487 1.8× 107 0.7× 137 1.1× 56 2.0k
K N Clifford Canada 10 1.6k 1.7× 283 0.5× 249 0.9× 185 1.1× 123 1.0× 10 1.9k
Haruo Kozono Japan 21 1.7k 1.8× 389 0.7× 393 1.5× 395 2.5× 105 0.8× 37 2.1k
R H Carter United States 8 1.1k 1.2× 278 0.5× 178 0.7× 309 1.9× 110 0.9× 8 1.4k

Countries citing papers authored by Stefan Stevanović

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Stevanović

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Stevanović

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Stevanović. A scholar is included among the top collaborators of Stefan Stevanović 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 Stefan Stevanović. Stefan Stevanović 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
1.
Bilich, Tatjana, Annika Nelde, Daniel J. Kowalewski, et al.. (2017). Definition and Characterization of a Peptide Warehouse for the Patient-Individualized Peptide Vaccination Study (iVAC-L-CLL01) after First Line Therapy of CLL. Blood. 130. 5346–5346. 2 indexed citations
2.
Backert, Linus, Daniel J. Kowalewski, Simon Walz, et al.. (2017). A meta-analysis of HLA peptidome composition in different hematological entities: entity-specific dividing lines and “pan-leukemia” antigens. Oncotarget. 8(27). 43915–43924. 10 indexed citations
3.
Kowalewski, Daniel J., Juliane S. Walz, Linus Backert, et al.. (2016). Carfilzomib alters the HLA-presented peptidome of myeloma cells and impairs presentation of peptides with aromatic C-termini. Blood Cancer Journal. 6(4). e411–e411. 14 indexed citations
4.
Mirza, Nora, Manfred Zierhut, Antje Bornemann, et al.. (2016). Graft versus self (GvS) against T-cell autoantigens is a mechanism of graft–host interaction. Proceedings of the National Academy of Sciences. 113(48). 13827–13832. 13 indexed citations
7.
8.
Dengjel, Jörn, et al.. (2004). 543 Identification of F1-ATPase as a new target antigen of antimitochondrial antibodies (AMA) in primary biliary cirrhosis (PBC). Journal of Hepatology. 40. 159–159. 1 indexed citations
9.
Kircher, Brigitte, Stefan Stevanović, Martina Urbanek, et al.. (2002). Induction of HA‐1‐specific cytotoxic T‐cell clones parallels the therapeutic effect of donor lymphocyte infusion. British Journal of Haematology. 117(4). 935–939. 50 indexed citations
10.
Schwarz, Gerold, Martin Deeg, Daniel Baier, et al.. (2001). Cathepsin S and an asparagine-specific endoprotease dominate the proteolytic processing of human myelin basic proteinin vitro. European Journal of Immunology. 31(12). 3726–3736. 90 indexed citations
11.
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
12.
Stevanović, Stefan & Hansjörg Schild. (1999). Quantitative aspects of T cell activation—peptide generation and editing by MHC class I molecules. Seminars in Immunology. 11(6). 375–384. 50 indexed citations
13.
Münz, Christian, Stefan Stevanović, & Hans-Georg Rammensee. (1999). Peptide presentation and NK inhibition by HLA-G. Journal of Reproductive Immunology. 43(2). 139–155. 23 indexed citations
14.
Dumrese, Tilman, Stefan Stevanović, Florian Seeger, et al.. (1998). HLA-A26 subtype A pockets accommodate acidic N-termini of ligands. Immunogenetics. 48(5). 350–353. 17 indexed citations
15.
Dick, Tobias P., Thomas Ruppert, Marcus Groettrup, et al.. (1996). Coordinated Dual Cleavages Induced by the Proteasome Regulator PA28 Lead to Dominant MHC Ligands. Cell. 86(2). 253–262. 241 indexed citations
16.
Friede, Thomas, Volker Gnau, Günther Jung, et al.. (1996). Natural ligand motifs of closely related HLA-DR4 molecules predict features of rheumatoid arthritis associated peptides. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1316(2). 85–101. 52 indexed citations
17.
Merkel, Frank, Raghu Kalluri, Martin B. Marx, et al.. (1996). Autoreactive T-cells in Goodpasture's syndrome recognize the N-terminal NC1 domain on α3 type IV collagen. Kidney International. 49(4). 1127–1133. 46 indexed citations
18.
Stevanović, Stefan, S. Pomer, & Hans-Georg Rammensee. (1995). Oberflächenantigene im Nierenzellkarzinom - Präsentation von MHC I-gebundenen Selbstpeptiden. Aktuelle Urologie. 26(S 1). 45–46. 1 indexed citations
19.
Falk, Kirsten, et al.. (1994). Dominant aromatic/aliphatic C-terminal anchor in HLA-B*2702 and B*2705 peptide motifs. Immunogenetics. 39(1). 74–7. 117 indexed citations
20.
Falk, Kirsten, et al.. (1991). Exact prediction of a natural T cell epitope. European Journal of Immunology. 21(11). 2891–2894. 395 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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