Tuija Teerinen

442 total citations
11 papers, 388 citations indexed

About

Tuija Teerinen is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Tuija Teerinen has authored 11 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Biomedical Engineering. Recurrent topics in Tuija Teerinen's work include Monoclonal and Polyclonal Antibodies Research (4 papers), Protein purification and stability (3 papers) and Electrochemical sensors and biosensors (2 papers). Tuija Teerinen is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (4 papers), Protein purification and stability (3 papers) and Electrochemical sensors and biosensors (2 papers). Tuija Teerinen collaborates with scholars based in Finland and Slovakia. Tuija Teerinen's co-authors include Janne Laine, Leena‐Sisko Johansson, Susanna Holappa, Hannes Orelma, Tomi Erho, Timo Lappalainen, Susanna Ahola, Monika Österberg, Jarkko Valjakka and Juha Rouvinen and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Molecular Biology and Journal of Agricultural and Food Chemistry.

In The Last Decade

Tuija Teerinen

11 papers receiving 377 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Tuija Teerinen Finland	10	161	154	133	62	57	11	388
Arthur Yang United States	14	86 0.5×	111 0.7×	97 0.7×	52 0.8×	74 1.3×	19	501
Guy Voirin Switzerland	12	358 2.2×	180 1.2×	100 0.8×	177 2.9×	14 0.2×	25	612
Yue Hui China	14	112 0.7×	153 1.0×	43 0.3×	75 1.2×	48 0.8×	28	462
Richard A. Cave United Kingdom	6	76 0.5×	54 0.4×	60 0.5×	13 0.2×	23 0.4×	7	541
Valeria Gabrielli United Kingdom	12	94 0.6×	61 0.4×	181 1.4×	51 0.8×	7 0.1×	18	357
Altan Erarslan Türkiye	14	87 0.5×	431 2.8×	41 0.3×	15 0.2×	44 0.8×	26	580
Hyeong‐Min Kim South Korea	11	172 1.1×	127 0.8×	34 0.3×	121 2.0×	14 0.2×	49	415
Rosa L. Segura Spain	15	86 0.5×	518 3.4×	60 0.5×	204 3.3×	16 0.3×	20	619
Tomohisa Fujisawa Japan	15	127 0.8×	131 0.9×	170 1.3×	88 1.4×	14 0.2×	21	557
André Pfaff Germany	10	77 0.5×	111 0.7×	115 0.9×	25 0.4×	11 0.2×	10	369

Countries citing papers authored by Tuija Teerinen

Since Specialization

Citations

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

Fields of papers citing papers by Tuija Teerinen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tuija Teerinen

This figure shows the co-authorship network connecting the top 25 collaborators of Tuija Teerinen. A scholar is included among the top collaborators of Tuija Teerinen 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 Tuija Teerinen. Tuija Teerinen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

Teerinen, Tuija, et al.. (2021). Simultaneous multi-location wireless monitoring of sweat lactate trends. Flexible and Printed Electronics. 6(3). 34003–34003. 13 indexed citations

Teerinen, Tuija, et al.. (2020). Controlled diazonium electrodeposition towards a biosensor for C-reactive protein. Sensors International. 2. 100060–100060. 11 indexed citations

Teerinen, Tuija, Timo Lappalainen, & Tomi Erho. (2014). A paper-based lateral flow assay for morphine. Analytical and Bioanalytical Chemistry. 406(24). 5955–5965. 52 indexed citations

Orelma, Hannes, Tuija Teerinen, Leena‐Sisko Johansson, Susanna Holappa, & Janne Laine. (2012). CMC-Modified Cellulose Biointerface for Antibody Conjugation. Biomacromolecules. 13(4). 1051–1058. 98 indexed citations

Lappalainen, Timo, et al.. (2010). Cellulose as a novel substrate for lateral flow assay. Nordic Pulp & Paper Research Journal. 25(4). 536–550. 15 indexed citations

Ahola, Susanna, et al.. (2008). Effect of polymer adsorption on cellulose nanofibril water binding capacity and aggregation. BioResources. 3(4). 1315–1328. 86 indexed citations

Teerinen, Tuija, Jarkko Valjakka, Juha Rouvinen, & Kristiina Takkinen. (2006). Structure-based Stability Engineering of the Mouse IgG1 Fab Fragment by Modifying Constant Domains. Journal of Molecular Biology. 361(4). 687–697. 22 indexed citations

Valjakka, Jarkko, et al.. (2002). Structural Insights into Steroid Hormone Binding. Journal of Biological Chemistry. 277(6). 4183–4190. 21 indexed citations

Nevanen, Tarja K., Tapani Suortti, Tuija Teerinen, et al.. (2001). Efficient enantioselective separation of drug enantiomers by immobilised antibody fragments. Journal of Chromatography A. 925(1-2). 89–97. 44 indexed citations

10.

Valjakka, Jarkko, et al.. (2000). X-ray studies of recombinant anti-testosterone Fab fragments: the use of PEG 3350 in crystallization. Acta Crystallographica Section D Biological Crystallography. 56(2). 218–221. 7 indexed citations

11.

Kallio, Heikki, et al.. (1989). Composition and properties of birch syrup (Betula pubescens). Journal of Agricultural and Food Chemistry. 37(1). 51–54. 19 indexed citations

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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