Péter Bayer

1.5k total citations · 1 hit paper
59 papers, 1.1k citations indexed

About

Péter Bayer is a scholar working on Hematology, Molecular Biology and Immunology. According to data from OpenAlex, Péter Bayer has authored 59 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Hematology, 10 papers in Molecular Biology and 10 papers in Immunology. Recurrent topics in Péter Bayer's work include Systemic Lupus Erythematosus Research (5 papers), Game Theory and Applications (4 papers) and Experimental Behavioral Economics Studies (4 papers). Péter Bayer is often cited by papers focused on Systemic Lupus Erythematosus Research (5 papers), Game Theory and Applications (4 papers) and Experimental Behavioral Economics Studies (4 papers). Péter Bayer collaborates with scholars based in Austria, France and United States. Péter Bayer's co-authors include Wolfgang Hübl, Dejan Milosavljevic, Thomas Brücke, Stefan Presslauer, Irmgard Neumann, Hao-Tsung Yang, Benedek Rózemberczki, Christian Koeberl, Rik Sarkar and Olivér Kiss and has published in prestigious journals such as Blood, Journal of the American Society of Nephrology and Critical Care Medicine.

In The Last Decade

Péter Bayer

58 papers receiving 1.1k citations

Hit Papers

The Shapley Value in Machine Learning 2022 2026 2023 2024 2022 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Péter Bayer Austria 20 269 175 164 152 147 59 1.1k
Katsuhiko Takabayashi Japan 18 543 2.0× 167 1.0× 520 3.2× 95 0.6× 242 1.6× 82 1.6k
Mei‐Chin Wen Taiwan 18 141 0.5× 204 1.2× 167 1.0× 141 0.9× 99 0.7× 85 1.3k
Dandan Liang China 13 167 0.6× 195 1.1× 89 0.5× 73 0.5× 86 0.6× 52 805
Gérard Chalès France 24 830 3.1× 208 1.2× 121 0.7× 369 2.4× 168 1.1× 106 1.8k
Belinda E. Clarke Australia 21 93 0.3× 476 2.7× 143 0.9× 48 0.3× 127 0.9× 41 1.6k
G Kolarz Austria 21 556 2.1× 232 1.3× 106 0.6× 68 0.4× 109 0.7× 94 1.2k
Manabu Iwasaki Japan 20 270 1.0× 105 0.6× 64 0.4× 400 2.6× 135 0.9× 71 1.4k
Sangbum Choi United States 16 313 1.2× 446 2.5× 259 1.6× 103 0.7× 133 0.9× 68 1.4k
J Hermans Netherlands 22 92 0.3× 240 1.4× 216 1.3× 125 0.8× 134 0.9× 56 2.1k
Shu-Ping Lan United States 20 742 2.8× 95 0.5× 737 4.5× 192 1.3× 151 1.0× 30 1.7k

Countries citing papers authored by Péter Bayer

Since Specialization
Citations

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

Fields of papers citing papers by Péter Bayer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Péter Bayer

This figure shows the co-authorship network connecting the top 25 collaborators of Péter Bayer. A scholar is included among the top collaborators of Péter Bayer 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 Péter Bayer. Péter Bayer 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.
Bayer, Péter, et al.. (2024). Optimism leads to optimality: Ambiguity in network formation. Journal of Economic Dynamics and Control. 168. 104944–104944.
2.
Bayer, Péter, et al.. (2023). Best-response dynamics in directed network games. Journal of Economic Theory. 213. 105720–105720. 2 indexed citations
3.
Bayer, Péter, Joel S. Brown, Johan L. A. Dubbeldam, & Mark Broom. (2022). A Markovian decision model of adaptive cancer treatment and quality of life. Journal of Theoretical Biology. 551-552. 111237–111237. 1 indexed citations
4.
Bayer, Péter, Joel S. Brown, & Kateřina Staňková. (2018). A two-phenotype model of immune evasion by cancer cells. Journal of Theoretical Biology. 455. 191–204. 14 indexed citations
5.
Presslauer, Stefan, Dejan Milosavljevic, Thomas Brücke, Péter Bayer, & Wolfgang Hübl. (2008). Elevated levels of kappa free light chains in CSF support the diagnosis of multiple sclerosis. Journal of Neurology. 255(10). 1508–1514. 124 indexed citations
6.
Neumann, Irmgard, et al.. (2008). Association between mycophenolic acid 12-h trough levels and clinical endpoints in patients with autoimmune disease on mycophenolate mofetil. Nephrology Dialysis Transplantation. 23(11). 3514–3520. 63 indexed citations
7.
Neumann, Irmgard, et al.. (2008). Pharmacokinetics of enteric-coated mycophenolate sodium: comparative study in patients with autoimmune disease and renal allograft. Expert Opinion on Pharmacotherapy. 9(6). 879–886. 15 indexed citations
8.
Assadian, Afshin, et al.. (2007). Aspirin resistance among long-term aspirin users after carotid endarterectomy and controls: Flow cytometric measurement of aspirin-induced platelet inhibition. Journal of Vascular Surgery. 45(6). 1142–1147. 20 indexed citations
9.
Fink, Astrid, et al.. (2002). Lupus anticoagulant and venous leg ulceration. British Journal of Dermatology. 146(2). 308–310. 10 indexed citations
10.
Hübl, Wolfgang, et al.. (1999). Differential expression of tumor necrosis factor receptor subtypes on leukocytes in systemic inflammatory response syndrome. Critical Care Medicine. 27(2). 319–324. 12 indexed citations
11.
Bayer, Péter, Jacques Bienvenu, Nicole Fabien, et al.. (1999). Multicenter Evaluation Study on a New HEp2 ANA Screening Enzyme Immune Assay. Journal of Autoimmunity. 13(1). 89–93. 37 indexed citations
12.
Streicher, Johannes, et al.. (1998). Anticytokeratins are a potential source of false-positive indirect immunofluorescence assays for C-ANCA. Journal of Clinical Laboratory Analysis. 12(1). 54–59. 8 indexed citations
13.
Hübl, Wolfgang, et al.. (1997). Value of Neutrophil CD16 Expression for Detection of Left Shift and Acute-Phase Response. American Journal of Clinical Pathology. 107(2). 187–196. 21 indexed citations
14.
Hübl, Wolfgang, et al.. (1996). Evaluation of automated basophil counting by using fluorescence-labelled monoclonal antibodies. Journal of Clinical Laboratory Analysis. 10(4). 177–183. 3 indexed citations
16.
Hübl, Wolfgang, et al.. (1995). Peripheral Blood Monocyte Counting: Towards a New Reference Method. Clinical Chemistry and Laboratory Medicine (CCLM). 33(11). 839–846. 15 indexed citations
17.
Hübl, Wolfgang, et al.. (1993). Investigation of the pathogenesis of massive hemolysis in a case ofClostridium perfringens septicemia. Annals of Hematology. 67(3). 145–147. 34 indexed citations
18.
Dati, Francesco, et al.. (1990). Clinical evaluation of a nephelometric myoglobin immunoassay. Open Repository and Bibliography (University of Liège). 1 indexed citations
19.
Klech, H, et al.. (1988). Neutrophil elastase α1-proteinase inhibitor complexes in pleural effusions. Journal of Molecular Medicine. 66(8). 346–350. 4 indexed citations
20.
Bayer, Péter, M. Knedel, Sergio Brenna, et al.. (1987). A Multicentre Evaluation of the Boehringer Mannheim/Hitachi 704 Analysis System. Clinical Chemistry and Laboratory Medicine (CCLM). 25(12). 261–32. 4 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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