Henna Päkkilä

18 total papers · 633 total citations
14 papers, 474 citations indexed

About

Henna Päkkilä is a scholar working on Molecular Biology, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, Henna Päkkilä has authored 14 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Biomedical Engineering and 8 papers in Materials Chemistry. Recurrent topics in Henna Päkkilä's work include Biosensors and Analytical Detection (7 papers), Advanced biosensing and bioanalysis techniques (7 papers) and Advanced Biosensing Techniques and Applications (6 papers). Henna Päkkilä is often cited by papers focused on Biosensors and Analytical Detection (7 papers), Advanced biosensing and bioanalysis techniques (7 papers) and Advanced Biosensing Techniques and Applications (6 papers). Henna Päkkilä collaborates with scholars based in Finland. Henna Päkkilä's co-authors include Tero Soukka, Timo Lövgren, Katri Kuningas, Terhi Rantanen, Satu Lahtinen, Mika Lastusaari, Jaana Rosenberg, Matti Waris, Ilkka Julkunen and Petri Saviranta and has published in prestigious journals such as Analytical Chemistry, Langmuir and Analytical Biochemistry.

In The Last Decade

Henna Päkkilä

14 papers receiving 470 citations

Author Peers

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

Author Last Decade Papers Cites
Henna Päkkilä 311 210 179 66 25 14 474
J. Bonnet 290 0.9× 172 0.8× 194 1.1× 54 0.8× 20 0.8× 16 543
Yi Rang Han 326 1.0× 148 0.7× 126 0.7× 96 1.5× 46 1.8× 11 485
Andrew S. Paterson 207 0.7× 254 1.2× 183 1.0× 71 1.1× 21 0.8× 11 475
Dejiang Wang 142 0.5× 159 0.8× 119 0.7× 65 1.0× 14 0.6× 17 419
Boyue Wu 306 1.0× 179 0.9× 146 0.8× 65 1.0× 25 1.0× 10 421
Jaana Rosenberg 191 0.6× 116 0.6× 224 1.3× 51 0.8× 5 0.2× 13 430
Songtao Hu 251 0.8× 187 0.9× 107 0.6× 195 3.0× 12 0.5× 24 471
Brian Yust 194 0.6× 220 1.0× 93 0.5× 47 0.7× 8 0.3× 19 413
Christoph H.-H. Traulsen 178 0.6× 119 0.6× 146 0.8× 155 2.3× 5 0.2× 16 464
Greta Jarockytė 240 0.8× 206 1.0× 101 0.6× 41 0.6× 6 0.2× 15 426

Countries citing papers authored by Henna Päkkilä

Since Specialization
Citations

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

Fields of papers citing papers by Henna Päkkilä

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Henna Päkkilä

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