Gašper Markelj

44 total papers · 1.8k total citations
25 papers, 313 citations indexed

About

Gašper Markelj is a scholar working on Immunology, Surgery and Molecular Biology. According to data from OpenAlex, Gašper Markelj has authored 25 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 7 papers in Surgery and 7 papers in Molecular Biology. Recurrent topics in Gašper Markelj's work include Immunodeficiency and Autoimmune Disorders (8 papers), Inflammasome and immune disorders (5 papers) and Blood disorders and treatments (4 papers). Gašper Markelj is often cited by papers focused on Immunodeficiency and Autoimmune Disorders (8 papers), Inflammasome and immune disorders (5 papers) and Blood disorders and treatments (4 papers). Gašper Markelj collaborates with scholars based in Slovenia, United States and Poland. Gašper Markelj's co-authors include Tadej Avčin, Nataša Toplak, E. Graham Davies, Tim Niehues, Krzysztof Kałwak, Carsten Speckmann, Waseem Qasim, Stephan Ehl, Klaus Schwarz and Kerstin Felgentreff and has published in prestigious journals such as SHILAP Revista de lepidopterología, Annals of the Rheumatic Diseases and Frontiers in Immunology.

In The Last Decade

Gašper Markelj

23 papers receiving 308 citations

Author Peers

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

Author Last Decade Papers Cites
Gašper Markelj 194 80 71 46 45 25 313
Kunihiko Moriya 123 0.6× 93 1.2× 43 0.6× 37 0.8× 35 0.8× 23 265
Anna Szaflarska 246 1.3× 58 0.7× 33 0.5× 37 0.8× 32 0.7× 25 350
Luis Fernández-Pereira 140 0.7× 53 0.7× 39 0.5× 30 0.7× 34 0.8× 28 310
Davide Montin 126 0.6× 51 0.6× 37 0.5× 52 1.1× 41 0.9× 37 292
K Mitamura 138 0.7× 63 0.8× 29 0.4× 52 1.1× 38 0.8× 19 340
Barbara Piątosa 191 1.0× 70 0.9× 38 0.5× 34 0.7× 44 1.0× 37 342
Diogo Cordeiro de Queiroz Soares 167 0.9× 62 0.8× 22 0.3× 24 0.5× 50 1.1× 22 317
Clara Franco‐Jarava 183 0.9× 63 0.8× 28 0.4× 24 0.5× 42 0.9× 33 337
Yoko Mizoguchi 157 0.8× 72 0.9× 48 0.7× 31 0.7× 69 1.5× 34 322
Arezou Rezaei 137 0.7× 44 0.6× 49 0.7× 57 1.2× 29 0.6× 31 295

Countries citing papers authored by Gašper Markelj

Since Specialization
Citations

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

Fields of papers citing papers by Gašper Markelj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gašper Markelj

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