Vilmos Posevitz

703 total citations
9 papers, 334 citations indexed

About

Vilmos Posevitz is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Vilmos Posevitz has authored 9 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 3 papers in Oncology and 1 paper in Molecular Biology. Recurrent topics in Vilmos Posevitz's work include T-cell and B-cell Immunology (8 papers), Immune Cell Function and Interaction (6 papers) and Immunotherapy and Immune Responses (5 papers). Vilmos Posevitz is often cited by papers focused on T-cell and B-cell Immunology (8 papers), Immune Cell Function and Interaction (6 papers) and Immunotherapy and Immune Responses (5 papers). Vilmos Posevitz collaborates with scholars based in Germany, Switzerland and Netherlands. Vilmos Posevitz's co-authors include Anita Posevitz‐Fejfár, Daniel E. Speiser, Pedro Romero, Melita Irving, Michaël Hebeisen, Raquel Gomez-Eerland, Ton N. Schumacher, Vincent Zoete, Nathalie Rufer and Olivier Michielin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and PLoS ONE.

In The Last Decade

Vilmos Posevitz

9 papers receiving 332 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Vilmos Posevitz Germany	8	233	175	84	30	25	9	334
Ho S. Oh South Korea	11	277 1.2×	206 1.2×	64 0.8×	23 0.8×	23 0.9×	13	377
Don G. Lee South Korea	11	251 1.1×	191 1.1×	69 0.8×	25 0.8×	25 1.0×	13	355
Simone Battella Italy	11	271 1.2×	206 1.2×	62 0.7×	20 0.7×	35 1.4×	18	382
Hannah Gornall United Kingdom	8	189 0.8×	161 0.9×	149 1.8×	60 2.0×	39 1.6×	9	331
Charlotte Helena Rivas United States	3	187 0.8×	223 1.3×	63 0.8×	39 1.3×	48 1.9×	6	304
Jeanette Ampudia United States	11	452 1.9×	147 0.8×	122 1.5×	24 0.8×	10 0.4×	23	562
Juergen Kuball United States	3	281 1.2×	275 1.6×	65 0.8×	22 0.7×	9 0.4×	5	387
Kyung‐Ok Nam South Korea	6	408 1.8×	240 1.4×	97 1.2×	37 1.2×	9 0.4×	8	513
Dimitrios Alatzoglou Switzerland	2	198 0.8×	246 1.4×	137 1.6×	42 1.4×	63 2.5×	3	409

Countries citing papers authored by Vilmos Posevitz

Since Specialization

Citations

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

Fields of papers citing papers by Vilmos Posevitz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vilmos Posevitz

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

All Works

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9 of 9 papers shown

Klotz, Luisa, Stephanie Hucke, Catharina C. Groß, et al.. (2016). B7-H1 shapes T-cell–mediated brain endothelial cell dysfunction and regional encephalitogenicity in spontaneous CNS autoimmunity. Proceedings of the National Academy of Sciences. 113(41). E6182–E6191. 20 indexed citations

Herold, Martin, Vilmos Posevitz, Stephanie Hucke, et al.. (2015). B7-H1 Selectively Controls TH17 Differentiation and Central Nervous System Autoimmunity via a Novel Non–PD-1–Mediated Pathway. The Journal of Immunology. 195(8). 3584–3595. 14 indexed citations

Posevitz‐Fejfár, Anita, Vilmos Posevitz, Catharina C. Groß, et al.. (2014). Effects of Blood Transportation on Human Peripheral Mononuclear Cell Yield, Phenotype and Function: Implications for Immune Cell Biobanking. PLoS ONE. 9(12). e115920–e115920. 41 indexed citations

Cesson, Valérie, Jean‐Paul Rivals, Kris Thielemans, et al.. (2010). MAGE-A3 and MAGE-A4 specific CD4+ T cells in head and neck cancer patients: detection of naturally acquired responses and identification of new epitopes. Cancer Immunology Immunotherapy. 60(1). 23–35. 23 indexed citations

Schmid, Daphné A., Melita Irving, Vilmos Posevitz, et al.. (2010). Evidence for a TCR Affinity Threshold Delimiting Maximal CD8 T Cell Function. The Journal of Immunology. 184(9). 4936–4946. 170 indexed citations

Derré, Laurent, Camilla Jandus, Petra Baumgaertner, et al.. (2009). Quantitative Multiparameter Assays to Measure the Effect of Adjuvants on Human Antigen-Specific CD8 T-Cell Responses. Methods in molecular biology. 626. 231–249. 2 indexed citations

Posevitz, Vilmos, et al.. (2008). Regulation of T Cell Homeostasis by the Transmembrane Adaptor Protein SIT. The Journal of Immunology. 180(3). 1634–1642. 17 indexed citations

Simeoni, Luca, Vilmos Posevitz, Uwe Kölsch, et al.. (2005). The Transmembrane Adapter Protein SIT Regulates Thymic Development and Peripheral T-Cell Functions. Molecular and Cellular Biology. 25(17). 7557–7568. 29 indexed citations

Simeoni, Luiz Alberto, et al.. (2004). Right time, right place: the organization of membrane proximal signaling. Seminars in Immunology. 17(1). 35–49. 18 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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