Matti Nykter

468 total papers · 14.9k total citations
152 papers, 5.5k citations indexed

About

Matti Nykter is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Matti Nykter has authored 152 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Molecular Biology, 49 papers in Cancer Research and 41 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Matti Nykter's work include Prostate Cancer Treatment and Research (32 papers), Cancer Genomics and Diagnostics (21 papers) and Glioma Diagnosis and Treatment (15 papers). Matti Nykter is often cited by papers focused on Prostate Cancer Treatment and Research (32 papers), Cancer Genomics and Diagnostics (21 papers) and Glioma Diagnosis and Treatment (15 papers). Matti Nykter collaborates with scholars based in Finland, United States and Canada. Matti Nykter's co-authors include Matti Annala, Ilya Shmulevich, Kim N., Alexander W. Wyatt, Kevin Beja, David Cogdell, Martin Gleave, Tapio Visakorpi, Kexin Chen and Olli Yli‐Harja and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nucleic Acids Research.

In The Last Decade

Matti Nykter

145 papers receiving 5.5k citations

Hit Papers

Circulating Tumor DNA Gen... 2018 2026 2020 2023 2018 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
Matti Nykter 3.0k 2.4k 1.9k 980 451 152 5.5k
George Vasmatzis 3.0k 1.0× 1.2k 0.5× 1.5k 0.8× 1.5k 1.6× 541 1.2× 171 6.0k
Ana Vivancos 2.9k 1.0× 1.6k 0.7× 1.6k 0.9× 2.0k 2.1× 306 0.7× 134 5.1k
Yun Xiao 3.8k 1.3× 2.5k 1.0× 946 0.5× 773 0.8× 759 1.7× 180 5.5k
Peng Lee 3.3k 1.1× 2.0k 0.8× 1.5k 0.8× 1.1k 1.1× 336 0.7× 149 5.9k
Matthew D. Wilkerson 3.3k 1.1× 1.9k 0.8× 2.0k 1.1× 1.3k 1.3× 773 1.7× 72 5.7k
Tobias Sjöblom 2.8k 0.9× 1.5k 0.6× 833 0.4× 1.5k 1.6× 444 1.0× 105 4.9k
Laure Sabatier 3.7k 1.2× 1.2k 0.5× 1.6k 0.8× 1.6k 1.6× 363 0.8× 145 6.7k
R. Stephanie Huang 4.5k 1.5× 2.8k 1.2× 2.2k 1.2× 1.7k 1.7× 717 1.6× 182 7.4k
Dan R. Robinson 5.2k 1.8× 3.8k 1.6× 1.2k 0.6× 1.5k 1.6× 676 1.5× 101 7.6k
Andrea Sboner 3.6k 1.2× 2.0k 0.8× 3.0k 1.6× 1.6k 1.7× 252 0.6× 140 6.8k

Countries citing papers authored by Matti Nykter

Since Specialization
Citations

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

Fields of papers citing papers by Matti Nykter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matti Nykter

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