Róbert Sike

11 total papers · 470 total citations
9 papers, 374 citations indexed

About

Róbert Sike is a scholar working on Genetics, Genetics and Hematology. According to data from OpenAlex, Róbert Sike has authored 9 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 7 papers in Genetics and 4 papers in Hematology. Recurrent topics in Róbert Sike's work include Inflammatory Bowel Disease (7 papers), Chronic Lymphocytic Leukemia Research (7 papers) and Chronic Myeloid Leukemia Treatments (4 papers). Róbert Sike is often cited by papers focused on Inflammatory Bowel Disease (7 papers), Chronic Lymphocytic Leukemia Research (7 papers) and Chronic Myeloid Leukemia Treatments (4 papers). Róbert Sike collaborates with scholars based in Hungary, France and Belgium. Róbert Sike's co-authors include Maria Kłopocka, Stefan Schreiber, Séverine Vermeire, Pille Harrison, Annegret Van der Aa, Chantal Tasset, Xavier Roblin, Tanja Kuehbacher, Adrian Goldiș and Robert Petryka and has published in prestigious journals such as The Lancet, Gastroenterology and Journal of Crohn s and Colitis.

In The Last Decade

Róbert Sike

9 papers receiving 368 citations

Hit Papers

Clinical remission in pat... 2016 2026 2019 2022 2016 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Róbert Sike 256 152 109 92 90 9 374
Eric Maller 246 1.0× 152 1.0× 104 1.0× 74 0.8× 84 0.9× 12 430
Maria Weidinger 270 1.1× 161 1.1× 138 1.3× 44 0.5× 66 0.7× 15 407
DW Hommes 236 0.9× 174 1.1× 124 1.1× 24 0.3× 17 0.2× 13 370
Krishan Thirunavukkarasu 54 0.2× 65 0.4× 121 1.1× 77 0.8× 288 3.2× 9 425
Rudi Gruber 90 0.4× 73 0.5× 174 1.6× 96 1.0× 94 1.0× 10 344
Takashi Shimoyama 223 0.9× 144 0.9× 179 1.6× 11 0.1× 42 0.5× 10 356
Andrews Df 83 0.3× 111 0.7× 118 1.1× 78 0.8× 19 0.2× 10 399
Lindsey Sattler 267 1.0× 187 1.2× 95 0.9× 93 1.0× 20 0.2× 7 360
Kazuhiro Kyokane 206 0.8× 102 0.7× 212 1.9× 57 0.6× 49 0.5× 8 444
Shaista Rashid 155 0.6× 95 0.6× 147 1.3× 23 0.3× 36 0.4× 10 332

Countries citing papers authored by Róbert Sike

Since Specialization
Citations

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

Fields of papers citing papers by Róbert Sike

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Róbert Sike

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