Stephan Malkmus

21 total papers · 630 total citations
16 papers, 534 citations indexed

About

Stephan Malkmus is a scholar working on Materials Chemistry, Organic Chemistry and Cellular and Molecular Neuroscience. According to data from OpenAlex, Stephan Malkmus has authored 16 papers receiving a total of 534 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Materials Chemistry, 8 papers in Organic Chemistry and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Stephan Malkmus's work include Photochromic and Fluorescence Chemistry (12 papers), Photoreceptor and optogenetics research (7 papers) and Radical Photochemical Reactions (3 papers). Stephan Malkmus is often cited by papers focused on Photochromic and Fluorescence Chemistry (12 papers), Photoreceptor and optogenetics research (7 papers) and Radical Photochemical Reactions (3 papers). Stephan Malkmus collaborates with scholars based in Germany and United States. Stephan Malkmus's co-authors include Markus Braun, Wolfgang Zinth, K. Rück‐Braun, Christine Schulz, S. Laimgruber, Peter Gilch, Watson J. Lees, Tobias E. Schrader, Wolfgang Schreier and Björn Heinz and has published in prestigious journals such as Journal of the American Chemical Society, Applied Physics Letters and Advanced Functional Materials.

In The Last Decade

Stephan Malkmus

16 papers receiving 532 citations

Author Peers

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

Author						Papers	Cites
Stephan Malkmus	407	241	175	168	103	16	534
Mario Gerecke	309 0.8×	182 0.8×	120 0.7×	76 0.5×	108 1.0×	10	447
Marcella Ravaglia	455 1.1×	148 0.6×	129 0.7×	173 1.0×	42 0.4×	9	588
Andranik Kazaryan	218 0.5×	138 0.6×	115 0.7×	153 0.9×	192 1.9×	10	567
Katsuki Okuno	401 1.0×	165 0.7×	80 0.5×	146 0.9×	37 0.4×	10	500
Chie Okabe	334 0.8×	80 0.3×	179 1.0×	128 0.8×	92 0.9×	17	525
Anders B. Skov	346 0.9×	120 0.5×	107 0.6×	180 1.1×	50 0.5×	26	484
Ebin Sebastian	352 0.9×	72 0.3×	153 0.9×	84 0.5×	70 0.7×	21	521
Christina Kaufmann	336 0.8×	63 0.3×	122 0.7×	147 0.9×	104 1.0×	10	564
Richard Giasson	270 0.7×	66 0.3×	138 0.8×	241 1.4×	59 0.6×	15	553
Jonathan D. Schultz	201 0.5×	74 0.3×	153 0.9×	69 0.4×	211 2.0×	21	485

Countries citing papers authored by Stephan Malkmus

Since Specialization

Citations

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

Fields of papers citing papers by Stephan Malkmus

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephan Malkmus

This figure shows the co-authorship network connecting the top 25 collaborators of Stephan Malkmus. A scholar is included among the top collaborators of Stephan Malkmus 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 Malkmus. Stephan Malkmus 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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