Martin Reczko

96 total papers · 6.8k total citations
57 papers, 5.2k citations indexed

About

Martin Reczko is a scholar working on Molecular Biology, Cancer Research and Insect Science. According to data from OpenAlex, Martin Reczko has authored 57 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 25 papers in Cancer Research and 5 papers in Insect Science. Recurrent topics in Martin Reczko's work include MicroRNA in disease regulation (22 papers), Cancer-related molecular mechanisms research (18 papers) and RNA modifications and cancer (15 papers). Martin Reczko is often cited by papers focused on MicroRNA in disease regulation (22 papers), Cancer-related molecular mechanisms research (18 papers) and RNA modifications and cancer (15 papers). Martin Reczko collaborates with scholars based in Greece, United States and Germany. Martin Reczko's co-authors include Artemis G. Hatzigeorgiou, Manolis Maragkakis, Panagiotis Alexiou, Theodore Dalamagas, Thanasis Vergoulis, Γεώργιος Γεωργακίλας, Giorgio L. Papadopoulos, Ioannis S. Vlachos, Nikos Kostoulas and Maria D. Paraskevopoulou and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Martin Reczko

54 papers receiving 5.2k citations

Hit Papers

DIANA-microT web server v... 2013 2026 2017 2021 2013 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Martin Reczko 4.2k 3.7k 344 208 204 57 5.2k
Yong Sun Lee 5.1k 1.2× 3.7k 1.0× 312 0.9× 229 1.1× 327 1.6× 56 5.9k
Γεώργιος Γεωργακίλας 3.9k 0.9× 3.6k 1.0× 462 1.3× 206 1.0× 247 1.2× 32 5.2k
Robert F. Place 3.7k 0.9× 2.4k 0.7× 238 0.7× 136 0.7× 279 1.4× 47 4.7k
Tobias Fehlmann 2.8k 0.7× 2.2k 0.6× 292 0.8× 168 0.8× 176 0.9× 79 4.0k
Daehyun Baek 4.7k 1.1× 4.0k 1.1× 588 1.7× 266 1.3× 249 1.2× 35 5.9k
Pål Sætrom 3.7k 0.9× 2.4k 0.7× 323 0.9× 183 0.9× 368 1.8× 101 4.6k
Georges St. Laurent 3.3k 0.8× 2.5k 0.7× 250 0.7× 184 0.9× 217 1.1× 47 4.1k
Ulf Andersson Ørom 5.2k 1.2× 4.1k 1.1× 292 0.8× 192 0.9× 356 1.7× 41 6.0k
Helge Großhans 5.7k 1.4× 4.2k 1.1× 312 0.9× 117 0.6× 225 1.1× 63 6.8k
Yingqun Huang 3.8k 0.9× 1.9k 0.5× 394 1.1× 278 1.3× 246 1.2× 49 4.7k

Countries citing papers authored by Martin Reczko

Since Specialization
Citations

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

Fields of papers citing papers by Martin Reczko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Reczko

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