Tiina Tikka

8 total papers · 2.8k total citations
7 papers, 2.4k citations indexed

About

Tiina Tikka is a scholar working on Neurology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Tiina Tikka has authored 7 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Neurology, 4 papers in Cellular and Molecular Neuroscience and 3 papers in Physiology. Recurrent topics in Tiina Tikka's work include Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Neuroscience and Neuropharmacology Research (3 papers) and Nerve injury and regeneration (2 papers). Tiina Tikka is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Neuroscience and Neuropharmacology Research (3 papers) and Nerve injury and regeneration (2 papers). Tiina Tikka collaborates with scholars based in Finland, United States and Japan. Tiina Tikka's co-authors include Jari Koıstınaho, Riitta Keinänen, Gundars Goldsteins, Bernd L. Fiebich, Pak H. Chan, Juha Yrjänheikki, Peter M. Andersen, Mikko Tenhunen, Nina Vartiainen and Simo S. Oja and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and The Journal of Immunology.

In The Last Decade

Tiina Tikka

7 papers receiving 2.3k citations

Hit Papers

A tetracycline derivative... 1999 2026 2008 2017 1999 2001 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Tiina Tikka 1.3k 783 521 503 470 7 2.4k
Juha Yrjänheikki 1.2k 0.9× 820 1.0× 769 1.5× 446 0.9× 442 0.9× 20 2.6k
Du Chu Wu 1.2k 0.9× 1.0k 1.3× 676 1.3× 1.0k 2.0× 450 1.0× 9 2.5k
M. Elizabeth Ross 723 0.6× 554 0.7× 898 1.7× 222 0.4× 545 1.2× 11 2.5k
Diana E. M. Dolman 1.8k 1.4× 493 0.6× 1.4k 2.7× 376 0.7× 514 1.1× 15 4.4k
Mireille Bélanger 924 0.7× 887 1.1× 1.3k 2.4× 352 0.7× 924 2.0× 17 3.4k
Pamela L. Follett 1.0k 0.8× 620 0.8× 561 1.1× 218 0.4× 273 0.6× 15 2.6k
Melissa K. McCoy 955 0.7× 731 0.9× 1.0k 2.0× 850 1.7× 482 1.0× 22 2.7k
Annadora J. Bruce 733 0.6× 684 0.9× 955 1.8× 238 0.5× 709 1.5× 15 3.0k
Lucia Dumitrescu‐Ozimek 1.2k 0.9× 701 0.9× 1000 1.9× 297 0.6× 1.5k 3.1× 12 3.0k
Riitta Keinänen 1.7k 1.3× 1.0k 1.3× 1.6k 3.0× 542 1.1× 714 1.5× 25 4.7k

Countries citing papers authored by Tiina Tikka

Since Specialization
Citations

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

Fields of papers citing papers by Tiina Tikka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tiina Tikka

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