Sanna Suikkanen

3.8k total citations · 2 hit papers
57 papers, 2.7k citations indexed

About

Sanna Suikkanen is a scholar working on Oceanography, Environmental Chemistry and Molecular Biology. According to data from OpenAlex, Sanna Suikkanen has authored 57 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Oceanography, 34 papers in Environmental Chemistry and 16 papers in Molecular Biology. Recurrent topics in Sanna Suikkanen's work include Marine and coastal ecosystems (43 papers), Aquatic Ecosystems and Phytoplankton Dynamics (23 papers) and Marine Toxins and Detection Methods (18 papers). Sanna Suikkanen is often cited by papers focused on Marine and coastal ecosystems (43 papers), Aquatic Ecosystems and Phytoplankton Dynamics (23 papers) and Marine Toxins and Detection Methods (18 papers). Sanna Suikkanen collaborates with scholars based in Finland, Sweden and Germany. Sanna Suikkanen's co-authors include Anke Kremp, Maria Laamanen, Maija Huttunen, Jonna Engström‐Öst, Maija Vihinen‐Ranta, Giovana O. Fistarol, Edna Granéli, Sirpa Lehtinen, Matti Vuento and Andreas Brutemark and has published in prestigious journals such as PLoS ONE, Journal of Virology and Molecular Ecology.

In The Last Decade

Sanna Suikkanen

56 papers receiving 2.6k citations

Hit Papers

Future HAB science: Directions and challenges in a changi... 2019 2026 2021 2023 2019 2021 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sanna Suikkanen Finland 26 1.6k 1.4k 879 559 313 57 2.7k
Peter Henriksen Denmark 30 1.4k 0.8× 1.0k 0.8× 1.1k 1.2× 830 1.5× 205 0.7× 56 3.0k
Herman J. Gons Netherlands 29 2.3k 1.4× 1.4k 1.0× 1.5k 1.7× 437 0.8× 255 0.8× 69 3.6k
Frank J. Stewart United States 39 2.1k 1.3× 1.0k 0.8× 3.5k 4.0× 2.1k 3.8× 543 1.7× 108 5.6k
Christian Amblard France 29 691 0.4× 690 0.5× 1.6k 1.8× 679 1.2× 97 0.3× 74 2.4k
Jan H. Landsberg United States 28 1.6k 1.0× 1.8k 1.4× 1.3k 1.5× 611 1.1× 484 1.5× 59 3.6k
Alexander Wacker Germany 35 868 0.5× 1.1k 0.8× 1.5k 1.7× 291 0.5× 498 1.6× 101 3.2k
Michael S. Schwalbach United States 20 1.0k 0.6× 453 0.3× 2.8k 3.2× 1.9k 3.4× 133 0.4× 21 3.7k
HP Grossart Germany 26 1.7k 1.0× 772 0.6× 2.2k 2.4× 662 1.2× 224 0.7× 42 3.1k
Wataru Makino Japan 20 685 0.4× 809 0.6× 1.3k 1.5× 192 0.3× 374 1.2× 61 2.3k

Countries citing papers authored by Sanna Suikkanen

Since Specialization
Citations

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

Fields of papers citing papers by Sanna Suikkanen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanna Suikkanen

This figure shows the co-authorship network connecting the top 25 collaborators of Sanna Suikkanen. A scholar is included among the top collaborators of Sanna Suikkanen 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 Sanna Suikkanen. Sanna Suikkanen 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
1.
Haraguchi, Lumi, Sanna Suikkanen, Pasi Ylöstalo, et al.. (2025). Monitoring cyanobacteria blooms with complementary measurements – a similar story told using high-throughput imaging, optical sensors, light microscopy, and satellite-based methods. Harmful Algae. 147. 102865–102865. 1 indexed citations
2.
Eerola, Tuomas, Lumi Haraguchi, Lasse Lensu, et al.. (2024). DAPlankton: Benchmark Dataset For Multi-Instrument Plankton Recognition Via Fine-Grained Domain Adaptation. LUTPub (LUT University). 158–164. 2 indexed citations
3.
Eerola, Tuomas, Lumi Haraguchi, Lasse Lensu, et al.. (2024). Survey of automatic plankton image recognition: challenges, existing solutions and future perspectives. Artificial Intelligence Review. 57(5). 13 indexed citations
4.
Jakobsen, Hans, Iveta Jurgensone, Bengt Karlson, et al.. (2023). DNA metabarcoding - Guidelines to monitor phytoplankton diversity and distribution in marine and brackish waters. TemaNord. 4 indexed citations
6.
Lehtinen, Sirpa, et al.. (2021). Phytoplankton Morpho-Functional Trait Variability along Coastal Environmental Gradients. Microorganisms. 9(12). 2477–2477. 2 indexed citations
7.
Kremp, Anke, et al.. (2021). Cyanobacterial Akinete Distribution, Viability, and Cyanotoxin Records in Sediment Archives From the Northern Baltic Sea. Frontiers in Microbiology. 12. 681881–681881. 14 indexed citations
8.
Lehtiniemi, Maiju, Elaine S. Fileman, Harri Kuosa, et al.. (2021). Optimising sampling frequency for monitoring heterotrophic protists in a marine ecosystem. ICES Journal of Marine Science. 79(3). 925–936. 4 indexed citations
9.
Eerola, Tuomas, Lasse Lensu, Sanna Suikkanen, et al.. (2020). Towards operational phytoplankton recognition with automated high-throughput imaging and compact convolutional neural networks. 4 indexed citations
10.
Kröncke, Ingrid, Hermann Neumann, Joachim W. Dippner, et al.. (2019). Comparison of biological and ecological long-term trends related to northern hemisphere climate in different marine ecosystems. Nature Conservation. 34. 311–341. 25 indexed citations
11.
Kuosa, Harri, Vivi Fleming-Lehtinen, Sirpa Lehtinen, et al.. (2016). A retrospective view of the development of the Gulf of Bothnia ecosystem. Journal of Marine Systems. 167. 78–92. 41 indexed citations
12.
Harju, Kirsi, Marc-André Avondet, Martin Schär, et al.. (2015). Results of a Saxitoxin Proficiency Test Including Characterization of Reference Material and Stability Studies. Toxins. 7(12). 4852–4867. 4 indexed citations
14.
Pulina, Silvia, Sanna Suikkanen, Cecilia Teodora Satta, et al.. (2014). Multiannual phytoplankton trends in relation to environmental changes across aquatic domains: A case study from Sardinia (Mediterranean Sea). Plant Biosystems - An International Journal Dealing with all Aspects of Plant Biology. 150(4). 660–670. 7 indexed citations
16.
Suikkanen, Sanna, Hermanni Kaartokallio, Seija Hällfors, Maija Huttunen, & Maria Laamanen. (2009). Life cycle strategies of bloom-forming, filamentous cyanobacteria in the Baltic Sea. Deep Sea Research Part II Topical Studies in Oceanography. 57(3-4). 199–209. 62 indexed citations
17.
Karjalainen, Miina, Jonna Engström‐Öst, Samuli Korpinen, et al.. (2007). Ecosystem Consequences of Cyanobacteria in the Northern Baltic Sea. AMBIO. 36(2). 195–202. 106 indexed citations
18.
Suikkanen, Sanna, Giovana O. Fistarol, & Edna Granéli. (2004). Allelopathic effects of the Baltic cyanobacteria Nodularia spumdigena, Aphanizomenon flos-aquae and Anabaena lemmermannii on algal monocultures. Journal of Experimental Marine Biology and Ecology. 308(1). 85–101. 180 indexed citations
19.
Suikkanen, Sanna, et al.. (2003). Release of canine parvovirus from endocytic vesicles. Virology. 316(2). 267–280. 94 indexed citations
20.
Välimäki, Maritta, et al.. (1999). Self-determination in nursing students: an empirical investigation. Nurse Education Today. 19(8). 617–627. 4 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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