Stephan Weber

1.3k total citations
17 papers, 1.0k citations indexed

About

Stephan Weber is a scholar working on Immunology, Molecular Biology and Epidemiology. According to data from OpenAlex, Stephan Weber has authored 17 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 6 papers in Molecular Biology and 4 papers in Epidemiology. Recurrent topics in Stephan Weber's work include Immunotherapy and Immune Responses (5 papers), T-cell and B-cell Immunology (4 papers) and Renal Transplantation Outcomes and Treatments (2 papers). Stephan Weber is often cited by papers focused on Immunotherapy and Immune Responses (5 papers), T-cell and B-cell Immunology (4 papers) and Renal Transplantation Outcomes and Treatments (2 papers). Stephan Weber collaborates with scholars based in Germany, United States and Slovakia. Stephan Weber's co-authors include Stefan H. E. Kaufmann, Florian Winau, Konrad Sandhoff, Subash Sad, Bernadette Breiden, Volker Brinkmann, Ulrich E. Schaible, Guido Hegasy, Cécile Cassan and Ralf Weiskirchen and has published in prestigious journals such as Journal of Biological Chemistry, Blood and Immunity.

In The Last Decade

Stephan Weber

17 papers receiving 998 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephan Weber Germany 12 514 356 275 236 223 17 1.0k
Svetlana Marukian United States 16 515 1.0× 791 2.2× 178 0.6× 184 0.8× 847 3.8× 18 1.6k
Seishin Azuma Japan 17 233 0.5× 495 1.4× 131 0.5× 201 0.9× 589 2.6× 37 930
Haisheng Yu China 22 633 1.2× 289 0.8× 219 0.8× 440 1.9× 76 0.3× 54 1.3k
Noriyoshi Kuzushita Japan 21 521 1.0× 563 1.6× 74 0.3× 200 0.8× 697 3.1× 36 1.3k
William R. Addison Canada 14 203 0.4× 626 1.8× 142 0.5× 379 1.6× 646 2.9× 24 1.3k
Marie-Lise Gougeon France 15 608 1.2× 387 1.1× 140 0.5× 261 1.1× 77 0.3× 21 1.1k
Abhishek Das United Kingdom 14 942 1.8× 852 2.4× 172 0.6× 272 1.2× 588 2.6× 29 1.8k
Yasuhiro Itsui Japan 20 327 0.6× 734 2.1× 157 0.6× 378 1.6× 920 4.1× 53 1.5k
Heesik Yoon United States 9 309 0.6× 345 1.0× 131 0.5× 252 1.1× 103 0.5× 10 730
Leo Swadling United Kingdom 21 815 1.6× 552 1.6× 210 0.8× 240 1.0× 432 1.9× 36 1.5k

Countries citing papers authored by Stephan Weber

Since Specialization
Citations

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

Fields of papers citing papers by Stephan Weber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephan Weber

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

All Works

17 of 17 papers shown
1.
Sanchez‐Mazas, Alicia, Viktor Černý, Da Di, et al.. (2017). The HLA‐B landscape of Africa: Signatures of pathogen‐driven selection and molecular identification of candidate alleles to malaria protection. Molecular Ecology. 26(22). 6238–6252. 35 indexed citations
2.
Feng, Yonghong, Anca Dorhoi, Hans‐Joachim Mollenkopf, et al.. (2014). Platelets Direct Monocyte Differentiation Into Epithelioid-Like Multinucleated Giant Foam Cells With Suppressive Capacity Upon Mycobacterial Stimulation. The Journal of Infectious Diseases. 210(11). 1700–1710. 38 indexed citations
3.
Ma, Peixiang, Melanie Schwarten, Lars Schneider, et al.. (2013). Interaction of Bcl-2 with the Autophagy-related GABAA Receptor-associated Protein (GABARAP). Journal of Biological Chemistry. 288(52). 37204–37215. 33 indexed citations
4.
Lozza, Laura, Maura Farinacci, Kellen C. Faé, et al.. (2013). Crosstalk between human DC subsets promotes antibacterial activity and CD8+T‐cell stimulation in response to bacille Calmette‐Guérin. European Journal of Immunology. 44(1). 80–92. 22 indexed citations
5.
Farinacci, Maura, Stephan Weber, & Stefan H. E. Kaufmann. (2012). The recombinant tuberculosis vaccine rBCG ΔureC::hly+ induces apoptotic vesicles for improved priming of CD4+ and CD8+ T cells. Vaccine. 30(52). 7608–7614. 61 indexed citations
6.
Weber, Stephan, Michael Gombert, Thomas E. Keller, et al.. (2011). Next Generation Sequencing Spectratyping (NGS-S) Comprehensively Monitors T Cell Receptor Diversity in Children with T Cell Abnormalities. Blood. 118(21). 2173–2173. 2 indexed citations
7.
Winau, Florian, Guido Hegasy, Ralf Weiskirchen, et al.. (2007). Ito Cells Are Liver-Resident Antigen-Presenting Cells for Activating T Cell Responses. Immunity. 26(1). 117–129. 307 indexed citations
8.
Winau, Florian, Stephan Weber, Subash Sad, et al.. (2006). Apoptotic Vesicles Crossprime CD8 T Cells and Protect against Tuberculosis. Immunity. 24(1). 105–117. 316 indexed citations
9.
Winau, Florian, Anne‐Marit Sponaas, Stephan Weber, et al.. (2005). Scant activation of CD8 T cells by antigen loaded on heat shock protein. European Journal of Immunology. 35(4). 1046–1055. 6 indexed citations
10.
Sponaas, Anne‐Marit, Ulrich Züegel, Stephan Weber, et al.. (2001). Immunization with gp96 from Listeria monocytogenes -Infected Mice Is Due to N -Formylated Listerial Peptides. The Journal of Immunology. 167(11). 6480–6486. 9 indexed citations
11.
Kronenberger, Bernd, Brigitte Rüster, Robert Elez, et al.. (2001). Interferon Alfa Down–Regulates Cd81 in Patients With Chronic Hepatitis C. Hepatology. 33(6). 1518–1526. 31 indexed citations
12.
Blaheta, Roman A., Karen Nelson, Elsie Oppermann, et al.. (2000). MYCOPHENOLATE MOFETIL DECREASES ENDOTHELIAL PROSTAGLANDIN E 2 IN RESPONSE TO ALLOGENEIC T CELLS OR CYTOKINES1. Transplantation. 69(9). 1977–1981. 10 indexed citations
13.
Blaheta, Roman A., Nils P. Hailer, Bianca M. Wittig, et al.. (2000). IN VITRO ANALYSIS OF VERAPAMIL-INDUCED IMMUNOSUPPRESSION. Transplantation. 69(4). 588–597. 19 indexed citations
14.
Kronenberger, Bernd, Brigitte Rüster, Stephan Weber, et al.. (2000). Influence of interferon-alpha on CD81-expression in HCV-positive patients. Gastroenterology. 118(4). A960–A961. 1 indexed citations
15.
Blaheta, Roman A., Bernd Kronenberger, Dirk Woitaschek, et al.. (1998). Development of an ultrasensitive in vitro assay to monitor growth of primary cell cultures with reduced mitotic activity. Journal of Immunological Methods. 211(1-2). 159–169. 35 indexed citations
16.
Blaheta, Roman A., Bianca M. Wittig, Elsie Oppermann, et al.. (1998). Inhibition of endothelial receptor expression and of T-cell ligand activity by mycophenolate mofetil. Transplant Immunology. 6(4). 251–259. 48 indexed citations
17.
Blaheta, Roman A., Bernd Kronenberger, Dirk Woitaschek, et al.. (1998). Dedifferentiation of human hepatocytes by extracellular matrix proteins in vitro: quantitative and qualitative investigation of cytokeratin 7, 8, 18, 19 and vimentin filaments. Journal of Hepatology. 28(4). 677–690. 42 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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