Netta Mäkinen

70 total papers · 3.5k total citations
26 papers, 1.9k citations indexed

About

Netta Mäkinen is a scholar working on Obstetrics and Gynecology, Reproductive Medicine and Pathology and Forensic Medicine. According to data from OpenAlex, Netta Mäkinen has authored 26 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Obstetrics and Gynecology, 19 papers in Reproductive Medicine and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Netta Mäkinen's work include Uterine Myomas and Treatments (19 papers), Endometriosis Research and Treatment (14 papers) and Ovarian cancer diagnosis and treatment (7 papers). Netta Mäkinen is often cited by papers focused on Uterine Myomas and Treatments (19 papers), Endometriosis Research and Treatment (14 papers) and Ovarian cancer diagnosis and treatment (7 papers). Netta Mäkinen collaborates with scholars based in Finland, Sweden and United States. Netta Mäkinen's co-authors include Pia Vahteristo, Lauri A. Aaltonen, Hanna-Riikka Heinonen, Miika Mehine, Ralf Bützow, Jari Sjöberg, Kati Kämpjärvi, Eevi Kaasinen, Mervi Aavikko and Esa Pitkänen and has published in prestigious journals such as Science, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

In The Last Decade

Netta Mäkinen

26 papers receiving 1.9k citations

Hit Papers

MED12 , the Mediator Comp... 2011 2026 2016 2021 2011 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Netta Mäkinen 1.3k 1.1k 328 300 202 26 1.9k
Miika Mehine 964 0.7× 825 0.7× 288 0.9× 191 0.6× 160 0.8× 30 1.5k
Bojana Djordjevic 796 0.6× 667 0.6× 676 2.1× 356 1.2× 411 2.0× 57 1.9k
Takako Kiyokawa 1.4k 1.0× 975 0.9× 406 1.2× 637 2.1× 222 1.1× 68 2.6k
Karuna Garg 991 0.7× 1.1k 0.9× 688 2.1× 736 2.5× 547 2.7× 60 2.4k
George Omura 533 0.4× 830 0.7× 533 1.6× 234 0.8× 240 1.2× 52 2.5k
Shashikant Lele 419 0.3× 1.6k 1.4× 424 1.3× 320 1.1× 186 0.9× 29 2.5k
Jeffrey D. Bloss 1.8k 1.3× 1.4k 1.3× 241 0.7× 205 0.7× 151 0.7× 36 2.5k
James J. Burke 976 0.7× 671 0.6× 219 0.7× 214 0.7× 101 0.5× 27 1.6k
Harrison Ball 992 0.7× 1.6k 1.4× 279 0.9× 314 1.0× 196 1.0× 47 2.4k
Karin Boman 632 0.5× 845 0.7× 462 1.4× 138 0.5× 75 0.4× 30 1.6k

Countries citing papers authored by Netta Mäkinen

Since Specialization
Citations

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

Fields of papers citing papers by Netta Mäkinen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Netta Mäkinen

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