Markus Spiliotis

46 total papers · 1.9k total citations
42 papers, 1.5k citations indexed

About

Markus Spiliotis is a scholar working on Pathology and Forensic Medicine, Parasitology and Surgery. According to data from OpenAlex, Markus Spiliotis has authored 42 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Pathology and Forensic Medicine, 31 papers in Parasitology and 22 papers in Surgery. Recurrent topics in Markus Spiliotis's work include Parasitic infections in humans and animals (36 papers), Parasitic Infections and Diagnostics (28 papers) and Congenital Anomalies and Fetal Surgery (22 papers). Markus Spiliotis is often cited by papers focused on Parasitic infections in humans and animals (36 papers), Parasitic Infections and Diagnostics (28 papers) and Congenital Anomalies and Fetal Surgery (22 papers). Markus Spiliotis collaborates with scholars based in Switzerland, Germany and Tunisia. Markus Spiliotis's co-authors include Klaus Brehm, Bruno Gottstein, Andrew Hemphill, Dennis Tappe, Ghalia Boubaker, Britta Lundström‐Stadelmann, Norbert Müller, Joachim Müller, Verena Gelmedin and Christian Konrad and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Gene.

In The Last Decade

Markus Spiliotis

42 papers receiving 1.5k citations

Author Peers

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

Author Last Decade Papers Cites
Markus Spiliotis 1.1k 993 649 427 175 42 1.5k
Mara Cecília Rosenzvit 1.4k 1.2× 1.1k 1.1× 1.0k 1.6× 467 1.1× 175 1.0× 66 1.7k
Xingwang Chen 925 0.8× 576 0.6× 682 1.1× 305 0.7× 135 0.8× 55 1.3k
Belgees Boufana 1.4k 1.3× 851 0.9× 1.1k 1.7× 466 1.1× 125 0.7× 56 1.8k
M. Liance 869 0.8× 737 0.7× 414 0.6× 136 0.3× 58 0.3× 47 1.2k
Cristian A. Álvarez Rojas 1.3k 1.1× 819 0.8× 1.1k 1.7× 343 0.8× 40 0.2× 36 1.6k
Marisela Hernández 606 0.5× 475 0.5× 273 0.4× 212 0.5× 186 1.1× 50 1.1k
S.B. Lawrence 654 0.6× 645 0.6× 344 0.5× 199 0.5× 239 1.4× 42 1.3k
Marion Wassermann 1.3k 1.1× 784 0.8× 1.1k 1.7× 414 1.0× 34 0.2× 52 1.6k
Guillermina Ávila 825 0.7× 633 0.6× 527 0.8× 195 0.5× 89 0.5× 38 1.1k
A Caprón 177 0.2× 683 0.7× 274 0.4× 322 0.8× 92 0.5× 52 1.5k

Countries citing papers authored by Markus Spiliotis

Since Specialization
Citations

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

Fields of papers citing papers by Markus Spiliotis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Spiliotis

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