Juha Viitala

20 total papers · 552 total citations
16 papers, 478 citations indexed

About

Juha Viitala is a scholar working on Molecular Biology, Physiology and Organic Chemistry. According to data from OpenAlex, Juha Viitala has authored 16 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Physiology and 5 papers in Organic Chemistry. Recurrent topics in Juha Viitala's work include Glycosylation and Glycoproteins Research (10 papers), Carbohydrate Chemistry and Synthesis (5 papers) and Erythrocyte Function and Pathophysiology (4 papers). Juha Viitala is often cited by papers focused on Glycosylation and Glycoproteins Research (10 papers), Carbohydrate Chemistry and Synthesis (5 papers) and Erythrocyte Function and Pathophysiology (4 papers). Juha Viitala collaborates with scholars based in Finland, United States and India. Juha Viitala's co-authors include Sven R. Carlsson, Mitsunori Fukuda, Jeanne Matteson, Johan Järnefelt, Paul D. Siebert, Minoru Fukuda, Jukka Finne, Tom Krusius, Matti Vauhkonen and Jaakko Parkkinen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Trends in Biochemical Sciences.

In The Last Decade

Juha Viitala

16 papers receiving 461 citations

Author Peers

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

Author						Papers	Cites
Juha Viitala	279	140	135	111	67	16	478
Natascha Remmel	292 1.0×	120 0.9×	150 1.1×	116 1.0×	25 0.4×	14	479
Craig A. Hoppe	259 0.9×	74 0.5×	46 0.3×	90 0.8×	55 0.8×	13	405
Stéphane Sarrazin	212 0.8×	169 1.2×	73 0.5×	120 1.1×	103 1.5×	17	484
Shawn M. Vogen	400 1.4×	129 0.9×	58 0.4×	195 1.8×	42 0.6×	14	548
Anne Briolay	298 1.1×	115 0.8×	101 0.7×	56 0.5×	24 0.4×	18	540
Marielle Boonen	279 1.0×	222 1.6×	126 0.9×	37 0.3×	39 0.6×	21	500
N Takami	313 1.1×	114 0.8×	70 0.5×	77 0.7×	15 0.2×	13	535
Roger Santimaria	238 0.9×	132 0.9×	45 0.3×	121 1.1×	26 0.4×	18	447
Paulina Sosicka	381 1.4×	116 0.8×	66 0.5×	80 0.7×	107 1.6×	23	502
D. McCool	258 0.9×	51 0.4×	34 0.3×	103 0.9×	77 1.1×	14	412

Countries citing papers authored by Juha Viitala

Since Specialization

Citations

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

Fields of papers citing papers by Juha Viitala

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juha Viitala

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