Sven Marcel Stefan

51 total papers · 5.9k total citations
36 papers, 662 citations indexed

About

Sven Marcel Stefan is a scholar working on Oncology, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Sven Marcel Stefan has authored 36 papers receiving a total of 662 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Oncology, 15 papers in Computational Theory and Mathematics and 11 papers in Molecular Biology. Recurrent topics in Sven Marcel Stefan's work include Drug Transport and Resistance Mechanisms (20 papers), Computational Drug Discovery Methods (15 papers) and Trace Elements in Health (8 papers). Sven Marcel Stefan is often cited by papers focused on Drug Transport and Resistance Mechanisms (20 papers), Computational Drug Discovery Methods (15 papers) and Trace Elements in Health (8 papers). Sven Marcel Stefan collaborates with scholars based in Germany, Norway and Latvia. Sven Marcel Stefan's co-authors include Michael Wiese, Vigneshwaran Namasivayam, Jens Pahnke, Katja Stefan, Muhammad Rafehi, Kapil Juvale, Patric J. Jansson, Chetan Shah, Niteshkumar U. Sahu and Prashant S. Kharkar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and International Journal of Molecular Sciences.

In The Last Decade

Sven Marcel Stefan

34 papers receiving 660 citations

Author Peers

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

Author						Papers	Cites
Sven Marcel Stefan	357	281	192	117	90	36	662
Kapil Juvale	339 0.9×	307 1.1×	71 0.4×	256 2.2×	191 2.1×	37	792
Stephan Kopp	438 1.2×	251 0.9×	73 0.4×	45 0.4×	114 1.3×	24	697
Tomáš Smutný	161 0.5×	222 0.8×	34 0.2×	125 1.1×	48 0.5×	33	704
Paul K. Spearing	242 0.7×	208 0.7×	76 0.4×	154 1.3×	30 0.3×	16	559
Anne Cooper	210 0.6×	153 0.5×	48 0.3×	67 0.6×	21 0.2×	20	722
Mariangela Cantore	463 1.3×	313 1.1×	26 0.1×	81 0.7×	120 1.3×	27	730
Michele F. Rega	92 0.3×	502 1.8×	90 0.5×	137 1.2×	34 0.4×	28	763
Xinhui Zhang	222 0.6×	394 1.4×	43 0.2×	269 2.3×	62 0.7×	31	767
TORU KOMAI	164 0.5×	213 0.8×	25 0.1×	57 0.5×	26 0.3×	45	789
Heiner Glombik	312 0.9×	344 1.2×	21 0.1×	136 1.2×	45 0.5×	24	713

Countries citing papers authored by Sven Marcel Stefan

Since Specialization

Citations

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

Fields of papers citing papers by Sven Marcel Stefan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sven Marcel Stefan

This figure shows the co-authorship network connecting the top 25 collaborators of Sven Marcel Stefan. A scholar is included among the top collaborators of Sven Marcel Stefan 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 Sven Marcel Stefan. Sven Marcel Stefan 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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