Nina Trokovic

713 total citations
20 papers, 508 citations indexed

About

Nina Trokovic is a scholar working on Rheumatology, Molecular Biology and Immunology. According to data from OpenAlex, Nina Trokovic has authored 20 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Rheumatology, 4 papers in Molecular Biology and 4 papers in Immunology. Recurrent topics in Nina Trokovic's work include Rheumatoid Arthritis Research and Therapies (7 papers), Spondyloarthritis Studies and Treatments (4 papers) and Amphibian and Reptile Biology (3 papers). Nina Trokovic is often cited by papers focused on Rheumatoid Arthritis Research and Therapies (7 papers), Spondyloarthritis Studies and Treatments (4 papers) and Amphibian and Reptile Biology (3 papers). Nina Trokovic collaborates with scholars based in Finland, Sweden and Norway. Nina Trokovic's co-authors include Ras Trokovic, Juha Partanen, Gábor Herczeg, Juha Merilä, Yrjö T. Konttinen, Yuya Takakubo, Anssi Laurila, Abigél Gonda, Helka Koivu and Wolfgang Wurst and has published in prestigious journals such as Genes & Development, Developmental Biology and Annals of the Rheumatic Diseases.

In The Last Decade

Nina Trokovic

19 papers receiving 500 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nina Trokovic Finland 12 238 121 69 61 50 20 508
Katrin Voß Germany 9 365 1.5× 75 0.6× 43 0.6× 28 0.5× 147 2.9× 9 1.1k
Mahasweta Girgenrath United States 17 641 2.7× 70 0.6× 88 1.3× 30 0.5× 83 1.7× 28 890
Keiji Inohaya Japan 20 703 3.0× 265 2.2× 53 0.8× 44 0.7× 28 0.6× 35 1.2k
Inna Tabansky United States 12 217 0.9× 89 0.7× 55 0.8× 27 0.4× 14 0.3× 24 600
Sylvain Marcellini Chile 17 404 1.7× 95 0.8× 30 0.4× 89 1.5× 30 0.6× 37 644
J. S. Price United Kingdom 11 282 1.2× 86 0.7× 40 0.6× 66 1.1× 14 0.3× 16 510
Elizabeth E. LeClair United States 16 305 1.3× 80 0.7× 77 1.1× 21 0.3× 14 0.3× 33 785
Chiyo Takagi Japan 17 991 4.2× 264 2.2× 56 0.8× 66 1.1× 23 0.5× 27 1.3k
Pablo H. Strobl‐Mazzulla Argentina 20 484 2.0× 482 4.0× 52 0.8× 24 0.4× 36 0.7× 37 1.1k
Catherine Guenther United States 17 804 3.4× 465 3.8× 41 0.6× 99 1.6× 39 0.8× 19 1.3k

Countries citing papers authored by Nina Trokovic

Since Specialization
Citations

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

Fields of papers citing papers by Nina Trokovic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nina Trokovic

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

All Works

20 of 20 papers shown
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2.
Aaltonen, Kalle, Heikki Relas, Jarno Rutanen, et al.. (2023). Impact of TNF inhibitor medication on working ability in axial spondyloarthritis: an observational national registry-based cohort study. Rheumatology Advances in Practice. 7(2). rkad050–rkad050.
3.
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Chatzidionysiou, Katerina, Merete Lund Hetland, Thomas Frisell, et al.. (2021). Effectiveness of a Second Biologic After Failure of a Non–tumor Necrosis Factor Inhibitor As First Biologic in Rheumatoid Arthritis. The Journal of Rheumatology. 48(10). 1512–1518. 4 indexed citations
5.
Chatzidionysiou, Katerina, Bénédicte Delcoigne, Thomas Frisell, et al.. (2020). How do we use biologics in rheumatoid arthritis patients with a history of malignancy? An assessment of treatment patterns using Scandinavian registers. RMD Open. 6(2). e001363–e001363. 10 indexed citations
6.
Lindström, Ulf, Bente Glintborg, Daniela Di Giuseppe, et al.. (2020). Comparison of treatment retention and response to secukinumab versus tumour necrosis factor inhibitors in psoriatic arthritis. Lara D. Veeken. 60(8). 3635–3645. 18 indexed citations
7.
Lindström, Ulf, Bente Glintborg, Daniela Di Giuseppe, et al.. (2020). THU0394 COMPARISON OF TREATMENT RETENTION OF SECUKINUMAB AND TNF-INHIBITORS IN PSORIATIC ARTHRITIS. OBSERVATIONAL DATA FROM A NORDIC COLLABORATION.. Annals of the Rheumatic Diseases. 79. 431–432. 1 indexed citations
8.
Koivu, Helka, Yuya Takakubo, Zygmunt Mackiewicz, et al.. (2015). Autoinflammation Around AES Total Ankle Replacement Implants. Foot & Ankle International. 36(12). 1455–1462. 8 indexed citations
9.
Konttinen, Yrjö T., Georg Fuellen, Pauliina Porola, et al.. (2012). Sex steroids in Sjögren’s syndrome. Journal of Autoimmunity. 39(1-2). 49–56. 57 indexed citations
10.
Koivu, Helka, Z Mackiewicz, Yuya Takakubo, et al.. (2012). RANKL in the osteolysis of AES total ankle replacement implants. Bone. 51(3). 546–552. 34 indexed citations
11.
Trokovic, Nina, et al.. (2012). High levels of fluctuating asymmetry in isolated stickleback populations. BMC Evolutionary Biology. 12(1). 115–115. 25 indexed citations
12.
Trokovic, Nina, Raimo Pöllänen, Pauliina Porola, et al.. (2012). Exosomal secretion of death bullets: a new way of apoptotic escape?. American Journal of Physiology-Endocrinology and Metabolism. 303(8). E1015–E1024. 7 indexed citations
13.
Trokovic, Nina, et al.. (2011). Intraspecific divergence in the lateral line system in the nine‐spined stickleback (Pungitius pungitius). Journal of Evolutionary Biology. 24(7). 1546–1558. 24 indexed citations
14.
Trokovic, Nina, Abigél Gonda, Gábor Herczeg, Anssi Laurila, & Juha Merilä. (2011). Brain plasticity over the metamorphic boundary: carry-over effect of larval environment on froglet brain development. Journal of Evolutionary Biology. 24(6). 1380–1385. 21 indexed citations
15.
Hietanen, Jarkko, et al.. (2011). Recurrent aphthous ulcers—a Toll‐like receptor–mediated disease?. Journal of Oral Pathology and Medicine. 41(2). 158–164. 19 indexed citations
16.
Gonda, Abigél, Nina Trokovic, Gábor Herczeg, Anssi Laurila, & Juha Merilä. (2010). Predation‐ and competition‐mediated brain plasticity in Rana temporaria tadpoles. Journal of Evolutionary Biology. 23(11). 2300–2308. 30 indexed citations
17.
Linden, A., Bryan G. Johnson, Nina Trokovic, Esa R. Korpi, & D D Schoepp. (2009). Use of MGLUR2 and MGLUR3 knockout mice to explore in vivo receptor specificity of the MGLUR2/3 selective antagonist LY341495. Neuropharmacology. 57(2). 172–182. 21 indexed citations
18.
Trokovic, Nina, Ras Trokovic, & Juha Partanen. (2005). Fibroblast growth factor signalling and regional specification of the pharyngeal ectoderm. The International Journal of Developmental Biology. 49(7). 797–805. 39 indexed citations
19.
Trokovic, Ras, Jonna Saarimäki‐Vire, Paula Peltopuro, et al.. (2004). Fgfr1-dependent boundary cells between developing mid- and hindbrain. Developmental Biology. 278(2). 428–439. 57 indexed citations
20.
Trokovic, Nina, et al.. (2003). Fgfr1 regulates patterning of the pharyngeal region. Genes & Development. 17(1). 141–153. 130 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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