Stefan Wünsch

2.1k total citations
21 papers, 453 citations indexed

About

Stefan Wünsch is a scholar working on Nuclear and High Energy Physics, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Stefan Wünsch has authored 21 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Nuclear and High Energy Physics, 6 papers in Artificial Intelligence and 4 papers in Molecular Biology. Recurrent topics in Stefan Wünsch's work include Particle physics theoretical and experimental studies (8 papers), Particle Detector Development and Performance (7 papers) and Computational Physics and Python Applications (6 papers). Stefan Wünsch is often cited by papers focused on Particle physics theoretical and experimental studies (8 papers), Particle Detector Development and Performance (7 papers) and Computational Physics and Python Applications (6 papers). Stefan Wünsch collaborates with scholars based in Germany, Switzerland and United States. Stefan Wünsch's co-authors include Michael Lanzer, Michael Gekle, Cecília P. Sanchez, Jochen Wiesner, Stefan Silbernagl, Hans Oberleithner, U. Kersting, Paul Horrocks, Barbara Schuricht and Anamaria A. Camargo and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and The Journal of Cell Biology.

In The Last Decade

Stefan Wünsch

20 papers receiving 447 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 Wünsch Germany 9 234 152 90 79 52 21 453
Carolina Pepe Argentina 11 55 0.2× 156 1.0× 53 0.6× 12 0.2× 12 0.2× 25 427
João Luiz Silva‐Filho Brazil 17 212 0.9× 124 0.8× 74 0.8× 42 0.5× 162 3.1× 26 540
Marion A.M. den Boer Netherlands 7 226 1.0× 196 1.3× 107 1.2× 32 0.4× 134 2.6× 8 614
Thomas Akompong United States 12 312 1.3× 210 1.4× 72 0.8× 53 0.7× 102 2.0× 19 580
Miki Kato Japan 14 49 0.2× 172 1.1× 55 0.6× 84 1.1× 115 2.2× 36 440
Amalia Fernández-Martı́nez Spain 12 198 0.8× 108 0.7× 87 1.0× 34 0.4× 32 0.6× 17 535
Julio Gallego‐Delgado Spain 17 302 1.3× 234 1.5× 116 1.3× 45 0.6× 266 5.1× 34 878
Antônio Edson Rocha Oliveira Brazil 10 88 0.4× 117 0.8× 135 1.5× 41 0.5× 42 0.8× 16 463
Ross G. Douglas South Africa 12 110 0.5× 160 1.1× 36 0.4× 37 0.5× 50 1.0× 23 357
Mirjam M. Schaap Netherlands 13 24 0.1× 258 1.7× 42 0.5× 97 1.2× 31 0.6× 24 558

Countries citing papers authored by Stefan Wünsch

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Wünsch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Wünsch

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Wünsch. A scholar is included among the top collaborators of Stefan Wünsch 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 Wünsch. Stefan Wünsch 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.
Blomer, Jakob, et al.. (2023). RDataFrame enhancements for HEP analyses. Journal of Physics Conference Series. 2438(1). 12116–12116. 1 indexed citations
2.
3.
An, S., et al.. (2020). Fast Inference for Machine Learning in ROOT/TMVA. SHILAP Revista de lepidopterología. 245. 6008–6008. 2 indexed citations
4.
Wünsch, Stefan, et al.. (2020). Reducing the Dependence of the Neural Network Function to Systematic Uncertainties in the Input Space. Repository KITopen (Karlsruhe Institute of Technology). 16 indexed citations
5.
Wünsch, Stefan. (2020). Using CMS Open Data for education, outreach and software development. SHILAP Revista de lepidopterología. 245. 8006–8006. 1 indexed citations
6.
An, S., Sergei Gleyzer, L. Moneta, et al.. (2020). Machine Learning with ROOT/TMVA. SHILAP Revista de lepidopterología. 245. 6019–6019. 2 indexed citations
7.
Gleyzer, Sergei, et al.. (2019). New Machine Learning Developments in ROOT/TMVA. SHILAP Revista de lepidopterología. 214. 6014–6014. 1 indexed citations
8.
Wünsch, Stefan, R. Friese, R. Wolf, & G. Quast. (2018). Identifying the Relevant Dependencies of the Neural Network Response on Characteristics of the Input Space. arXiv (Cornell University). 2(1). 6 indexed citations
9.
Bagoly, A., A. J. Bevan, A. Carnes, et al.. (2017). Machine Learning Developments in ROOT. Journal of Physics Conference Series. 898. 72046–72046. 1 indexed citations
10.
Wünsch, Stefan. (2007). Carlo Lejeune: Die Säuberung. Band 1: Ernüchterung, Befreiung, Ungewissheit (1920-1944). 54(1). 310–312. 1 indexed citations
11.
Wünsch, Stefan, Paul Horrocks, Michael Gekle, & Michael Lanzer. (1999). Single-cell in vivo Measurements of Ion Concentrations within the Intracellular Parasite Plasmodium falciparum. Parasitology Today. 15(5). 198–200. 5 indexed citations
12.
Gekle, Michael, Stefan Silbernagl, & Stefan Wünsch. (1998). Non‐genomic action of the mineralocorticoid aldosterone on cytosolic sodium in cultured kidney cells. The Journal of Physiology. 511(1). 255–263. 50 indexed citations
13.
Wünsch, Stefan, et al.. (1998). Differential Stimulation of the Na+/H+ Exchanger Determines Chloroquine Uptake in Plasmodium falciparum . The Journal of Cell Biology. 140(2). 335–345. 84 indexed citations
14.
Sanchez, Cecília P., Stefan Wünsch, & Michael Lanzer. (1997). Identification of a Chloroquine Importer in Plasmodium falciparum. Journal of Biological Chemistry. 272(5). 2652–2658. 72 indexed citations
15.
Günzl, Arthur, Elisabetta Ullu, Stênio Perdigão Fragoso, et al.. (1997). Transcription of the Trypanosoma brucei spliced leader RNA gene is dependent only on the presence of upstream regulatory elements. Molecular and Biochemical Parasitology. 85(1). 67–76. 69 indexed citations
16.
Fischer, Katja, Paul Horrocks, Jochen Wiesner, et al.. (1997). Expression of var Genes Located within Polymorphic Subtelomeric Domains of Plasmodium falciparum Chromosomes. Molecular and Cellular Biology. 17(7). 3679–3686. 55 indexed citations
17.
Wünsch, Stefan, César Sánchez, Michael Gekle, et al.. (1997). A method to measure the cytoplasmic pH of single, living Plasmodium falciparum parasites.. PubMed. 44–50. 6 indexed citations
18.
Schneider, Stefan W., Stefan Wünsch, Albrecht Schwab, & Hans Oberleithner. (1996). Rapid activation of calcium-sensitive Na+H+ exchange induced by 20-hydroxyecdysone in salivary gland cells of Drosophila melanogaster. Molecular and Cellular Endocrinology. 116(1). 73–79. 15 indexed citations
19.
Wünsch, Stefan, Michael Gekle, U. Kersting, Barbara Schuricht, & Hans Oberleithner. (1995). Phenotypically and karyotypically distinct Madin‐Darby canine kidney cell clones respond differently to alkaline stress. Journal of Cellular Physiology. 164(1). 164–171. 51 indexed citations
20.
Wünsch, Stefan. (1993). Tagungsberichte: Zum Umgang mit zweierlei Vergangenheit. 33(1). 139–146.

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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