Michaela Patila

42 total papers · 1.0k total citations
33 papers, 826 citations indexed

About

Michaela Patila is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Materials Chemistry. According to data from OpenAlex, Michaela Patila has authored 33 papers receiving a total of 826 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Biomedical Engineering, 14 papers in Electrical and Electronic Engineering and 14 papers in Materials Chemistry. Recurrent topics in Michaela Patila's work include Electrochemical sensors and biosensors (13 papers), Graphene and Nanomaterials Applications (12 papers) and Enzyme Catalysis and Immobilization (8 papers). Michaela Patila is often cited by papers focused on Electrochemical sensors and biosensors (13 papers), Graphene and Nanomaterials Applications (12 papers) and Enzyme Catalysis and Immobilization (8 papers). Michaela Patila collaborates with scholars based in Greece, Netherlands and United States. Michaela Patila's co-authors include Haralambos Stamatis, Dimitrios Gournis, Ιoannis V. Pavlidis, Konstantinos Spyrou, Uwe T. Bornscheuer, Αntonios Kouloumpis, Alexandra V. Chatzikonstantinou, Petra Rudolf, Angeliki C. Polydera and Petros Katapodis and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and ACS Applied Materials & Interfaces.

In The Last Decade

Michaela Patila

32 papers receiving 814 citations

Author Peers

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

Author						Papers	Cites
Michaela Patila	379	314	306	263	79	33	826
Alini Tinoco Fricks	400 1.1×	210 0.7×	172 0.6×	115 0.4×	108 1.4×	53	903
Tiago Melo Freire	368 1.0×	223 0.7×	249 0.8×	179 0.7×	42 0.5×	23	775
Gregory F. Payne	248 0.7×	150 0.5×	180 0.6×	381 1.4×	47 0.6×	22	985
Dong‐Hao Zhang	740 2.0×	228 0.7×	188 0.6×	92 0.3×	47 0.6×	40	972
Sizhu Ren	624 1.6×	308 1.0×	214 0.7×	278 1.1×	79 1.0×	20	1.0k
Kimitoshi Fukunaga	550 1.5×	247 0.8×	327 1.1×	141 0.5×	47 0.6×	72	1.1k
Ömür Çelikbıçak	314 0.8×	126 0.4×	148 0.5×	165 0.6×	108 1.4×	44	893
Ramsingh Kurrey	278 0.7×	172 0.5×	252 0.8×	252 1.0×	67 0.8×	32	940
Xia Chen	162 0.4×	146 0.5×	131 0.4×	259 1.0×	48 0.6×	37	731
Francesca Valetti	326 0.9×	148 0.5×	162 0.5×	114 0.4×	65 0.8×	45	875

Countries citing papers authored by Michaela Patila

Since Specialization

Citations

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

Fields of papers citing papers by Michaela Patila

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michaela Patila

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