Selma Schenkl

26 total papers · 824 total citations
18 papers, 639 citations indexed

About

Selma Schenkl is a scholar working on Cellular and Molecular Neuroscience, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Selma Schenkl has authored 18 papers receiving a total of 639 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cellular and Molecular Neuroscience, 8 papers in Biomedical Engineering and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Selma Schenkl's work include Photoreceptor and optogenetics research (9 papers), Neuroscience and Neuropharmacology Research (7 papers) and Photodynamic Therapy Research Studies (6 papers). Selma Schenkl is often cited by papers focused on Photoreceptor and optogenetics research (9 papers), Neuroscience and Neuropharmacology Research (7 papers) and Photodynamic Therapy Research Studies (6 papers). Selma Schenkl collaborates with scholars based in Germany, Switzerland and United States. Selma Schenkl's co-authors include Stefan Haacke, S. Spörlein, Wolfgang Zinth, J. Piel, M. Beutter, Eberhard Riedle, Stefan Lochbrunner, Frank van Mourik, G. van der Zwan and Iris Riemann and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Molecular Biology.

In The Last Decade

Selma Schenkl

18 papers receiving 629 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Selma Schenkl	262	240	191	168	134	18	639
Leyun Zhu	260 1.0×	116 0.5×	268 1.4×	100 0.6×	142 1.1×	19	648
Alessio Valentini	262 1.0×	286 1.2×	167 0.9×	46 0.3×	51 0.4×	22	611
Federico Melaccio	298 1.1×	419 1.7×	298 1.6×	79 0.5×	49 0.4×	17	742
Mark O. Trulson	267 1.0×	127 0.5×	145 0.8×	70 0.4×	60 0.4×	18	574
Praveen D. Chowdary	144 0.5×	182 0.8×	264 1.4×	121 0.7×	238 1.8×	22	787
Miroslav Kloz	201 0.8×	319 1.3×	461 2.4×	104 0.6×	57 0.4×	42	782
Jan Philip Kraack	444 1.7×	128 0.5×	110 0.6×	65 0.4×	54 0.4×	25	594
Shane Tillo	106 0.4×	183 0.8×	273 1.4×	364 2.2×	283 2.1×	9	761
Yusaku Hontani	85 0.3×	303 1.3×	292 1.5×	125 0.7×	115 0.9×	25	600
Krisztina Kurin‐Csörgei	227 0.9×	152 0.6×	158 0.8×	62 0.4×	130 1.0×	35	702

Countries citing papers authored by Selma Schenkl

Since Specialization

Citations

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

Fields of papers citing papers by Selma Schenkl

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Selma Schenkl

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

All Works

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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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