Päivi Pöhö

28 total papers · 3.9k total citations
15 papers, 438 citations indexed

About

Päivi Pöhö is a scholar working on Molecular Biology, Spectroscopy and Physiology. According to data from OpenAlex, Päivi Pöhö has authored 15 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Spectroscopy and 3 papers in Physiology. Recurrent topics in Päivi Pöhö's work include Metabolomics and Mass Spectrometry Studies (7 papers), Mass Spectrometry Techniques and Applications (5 papers) and Analytical Chemistry and Chromatography (4 papers). Päivi Pöhö is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (7 papers), Mass Spectrometry Techniques and Applications (5 papers) and Analytical Chemistry and Chromatography (4 papers). Päivi Pöhö collaborates with scholars based in Finland, Denmark and Czechia. Päivi Pöhö's co-authors include Matej Orešič, Tuulia Hyötyläinen, Tommi Suvitaival, Isabel Bondia‐Pons, John J. Nolan, Johanna Kuusisto, Laxman Yetukuri, Tapio Kotiaho, Risto Kostiainen and Anu Vaikkinen and has published in prestigious journals such as Journal of Chromatography A, Experimental Neurology and Metabolism.

In The Last Decade

Päivi Pöhö

15 papers receiving 433 citations

Author Peers

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

Author Last Decade Papers Cites
Päivi Pöhö 282 77 65 60 48 15 438
Pu Lv 171 0.6× 23 0.3× 108 1.7× 43 0.7× 55 1.1× 16 442
Lingling Jiang 220 0.8× 50 0.6× 40 0.6× 17 0.3× 21 0.4× 27 491
Vincenzo Lembo 122 0.4× 55 0.7× 135 2.1× 43 0.7× 90 1.9× 17 400
C D Evans 155 0.5× 41 0.5× 26 0.4× 56 0.9× 118 2.5× 14 433
Francesca Luceri 101 0.4× 61 0.8× 29 0.4× 43 0.7× 47 1.0× 13 405
Xinli Xue 142 0.5× 32 0.4× 25 0.4× 17 0.3× 32 0.7× 10 370
Xia Yang 179 0.6× 48 0.6× 131 2.0× 23 0.4× 8 0.2× 22 442
Yun Li 147 0.5× 62 0.8× 20 0.3× 22 0.4× 14 0.3× 30 386
Delphine Morin‐Rivron 277 1.0× 167 2.2× 38 0.6× 59 1.0× 8 0.2× 15 490
Mariusz G. Fleszar 170 0.6× 68 0.9× 37 0.6× 12 0.2× 14 0.3× 31 409

Countries citing papers authored by Päivi Pöhö

Since Specialization
Citations

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

Fields of papers citing papers by Päivi Pöhö

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Päivi Pöhö

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