Martin Reczko
- Molecular Biology top 1%
- Cancer Research top 0.2%
- Immunology top 10%
- Epidemiology
- Genetics top 10%
- Co-authors
- Artemis G. HatzigeorgiouManolis MaragkakisTheodore DalamagasPanagiotis AlexiouThanasis VergoulisΓεώργιος ΓεωργακίλαςGiorgio L. PapadopoulosIoannis S. Vlachos
- Topics
- MicroRNA in disease regulation (22 papers)Cancer-related molecular mechanisms research (18 papers)RNA modifications and cancer (15 papers)
- Journals
- Nucleic Acids ResearchSHILAP Revista de lepidopterologíaBioinformatics
- Partner nations
- GreeceUnited StatesGermany
In The Last Decade
Martin Reczko
54 papers receiving 5.2k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Molecular Biology 4.2k
- Cancer Research 3.7k
- Immunology 344
- Epidemiology 209
- Genetics 206
Countries citing papers authored by Martin Reczko
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 19 | |
| 3 | 15 | |
| 4 | 20 | |
| 5 | 53 | |
| 6 | DIANA-microT web server v5.0: service integration into miRNA functional analysis workflowsbreakdown → | 912 |
| 7 | 291 | |
| 8 | 456 | |
| 9 | 91 | |
| 10 | 23 | |
| 11 | 31 | |
| 12 | 116 | |
| 13 | 36 | |
| 14 | 22 | |
| 15 | 13 | |
| 16 | 258 | |
| 17 | Support Vector Machines for Predicting microRNA Hairpins. | 12 |
| 18 | 26 | |
| 19 | Prediction of human transnational initiation sites using a multiple neural network approach. | 3 |
| 20 | Detection Of Eukaryotic Pol II Promoters With Multi-State Time-Delay Neural Networks | 1 |
About Martin Reczko
Martin Reczko is a scholar working on Cancer Research, Molecular Biology and Insect Science, having authored 57 papers that have together received 5.2k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (22 papers), Cancer-related molecular mechanisms research (18 papers) and RNA modifications and cancer (15 papers). The work is most often cited by research in Cancer Research (3.7k citations), Molecular Biology (4.2k citations) and Immunology (344 citations). Martin Reczko has collaborated with scholars based in Greece, United States and Germany. Frequent co-authors include Artemis G. Hatzigeorgiou, Manolis Maragkakis, Theodore Dalamagas, Panagiotis Alexiou, Thanasis Vergoulis, Γεώργιος Γεωργακίλας, Giorgio L. Papadopoulos, Ioannis S. Vlachos, Nikos Kostoulas and Maria D. Paraskevopoulou. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.
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.