Samppa Ryhänen

2.1k total citations · 1 hit paper
31 papers, 1.4k citations indexed

About

Samppa Ryhänen is a scholar working on Molecular Biology, Genetics and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Samppa Ryhänen has authored 31 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 10 papers in Genetics and 6 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Samppa Ryhänen's work include Diabetes and associated disorders (10 papers), Lipid Membrane Structure and Behavior (8 papers) and RNA Interference and Gene Delivery (7 papers). Samppa Ryhänen is often cited by papers focused on Diabetes and associated disorders (10 papers), Lipid Membrane Structure and Behavior (8 papers) and RNA Interference and Gene Delivery (7 papers). Samppa Ryhänen collaborates with scholars based in Finland, Italy and United States. Samppa Ryhänen's co-authors include Mikael Knip, Taina Härkönen, Heli Siljander, Hera Vlamakis, Eric S. Lander, Ramnik J. Xavier, Moran Yassour, Curtis Huttenhower, Tommi Vatanen and Dirk Gevers and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and Blood.

In The Last Decade

Samppa Ryhänen

30 papers receiving 1.3k citations

Hit Papers

Natural history of the infant gut microbiome and impact o... 2016 2026 2019 2022 2016 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Samppa Ryhänen Finland 17 790 272 200 187 183 31 1.4k
Jinge Zhu United States 22 638 0.8× 303 1.1× 174 0.9× 79 0.4× 120 0.7× 36 1.8k
Israr Khan Pakistan 18 1.3k 1.7× 297 1.1× 49 0.2× 132 0.7× 272 1.5× 78 2.2k
Xuefeng Gao China 27 1.2k 1.6× 197 0.7× 65 0.3× 400 2.1× 190 1.0× 91 2.2k
Han‐Na Kim South Korea 23 763 1.0× 167 0.6× 92 0.5× 137 0.7× 127 0.7× 90 1.7k
Anthony M. Haag United States 23 818 1.0× 103 0.4× 46 0.2× 85 0.5× 189 1.0× 53 1.6k
David P. Figgitt New Zealand 29 619 0.8× 113 0.4× 112 0.6× 225 1.2× 297 1.6× 59 2.6k
Lianmin Chen China 22 1.2k 1.5× 200 0.7× 65 0.3× 113 0.6× 160 0.9× 57 1.9k
Lizhen Xu China 20 606 0.8× 145 0.5× 66 0.3× 67 0.4× 91 0.5× 68 1.5k
Francesca Gaccioli United Kingdom 29 939 1.2× 162 0.6× 61 0.3× 104 0.6× 63 0.3× 47 2.9k
Sabina Cauci Italy 31 475 0.6× 130 0.5× 156 0.8× 208 1.1× 69 0.4× 66 2.3k

Countries citing papers authored by Samppa Ryhänen

Since Specialization
Citations

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

Fields of papers citing papers by Samppa Ryhänen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samppa Ryhänen

This figure shows the co-authorship network connecting the top 25 collaborators of Samppa Ryhänen. A scholar is included among the top collaborators of Samppa Ryhänen 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 Samppa Ryhänen. Samppa Ryhänen 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.
Gezelius, Henrik, Anders Lundmark, Claes Andersson, et al.. (2025). Ex vivo drug responses and molecular profiles of 597 pediatric acute lymphoblastic leukemia patients. HemaSphere. 9(7). e70176–e70176.
2.
Hölttä‐Vuori, Maarit, Salla Keskitalo, Markku Varjosalo, et al.. (2025). A TOM1 variant impairs interaction with TOLLIP, autophagosome-lysosome fusion and regulation of innate immunity. Disease Models & Mechanisms. 18(9). 1 indexed citations
3.
Xiong, Wen, et al.. (2021). Protein Trafficking or Cell Signaling: A Dilemma for the Adaptor Protein TOM1. Frontiers in Cell and Developmental Biology. 9. 643769–643769. 18 indexed citations
4.
Ryhänen, Samppa, Jorma Toppari, Jorma Ilonen, et al.. (2020). Dynamics of Islet Autoantibodies During Prospective Follow-Up From Birth to Age 15 Years. The Journal of Clinical Endocrinology & Metabolism. 105(12). e4638–e4651. 41 indexed citations
5.
Zaninetti, Carlo, Daniela De Rocco, Tania Giangregorio, et al.. (2018). MYH9-Related Thrombocytopenia: Four Novel Variants Affecting the Tail Domain of the Non-Muscle Myosin Heavy Chain IIA Associated with a Mild Clinical Evolution of the Disorder. Hämostaseologie. 39(1). 87–94. 1 indexed citations
6.
Parkkola, Anna, Antti‐Pekka Laine, Markku Karhunen, et al.. (2017). HLA and non-HLA genes and familial predisposition to autoimmune diseases in families with a child affected by type 1 diabetes. PLoS ONE. 12(11). e0188402–e0188402. 15 indexed citations
7.
Pfisterer, Simon G., Gergana Gateva, Péter Horváth, et al.. (2017). Role for formin-like 1-dependent acto-myosin assembly in lipid droplet dynamics and lipid storage. Nature Communications. 8(1). 14858–14858. 50 indexed citations
8.
Ryhänen, Samppa & Pekka Anttila. (2015). Perinnöllinen makrotrombosytopenia ja kuulovika. 131(9). 871–874. 1 indexed citations
9.
Ryhänen, Samppa & P. Anttila. (2015). [Hereditary macrothrombocytopenia and hearing loss].. PubMed. 131(9). 871–4. 1 indexed citations
10.
Ryhänen, Samppa, Josephine M. Forbes, Taina Härkönen, et al.. (2014). Circulating Concentrations of Soluble Receptor for AGE Are Associated With Age and AGER Gene Polymorphisms in Children With Newly Diagnosed Type 1 Diabetes. Diabetes Care. 37(7). 1975–1981. 18 indexed citations
11.
Parkkola, Anna, et al.. (2013). Extended family history of autoimmune diseases and phenotype and genotype of children with newly diagnosed type 1 diabetes. European Journal of Endocrinology. 169(2). 171–178. 16 indexed citations
12.
Ryhänen, Samppa, Taina Härkönen, Heli Siljander, et al.. (2011). Impact of Intranasal Insulin on Insulin Antibody Affinity and Isotypes in Young Children With HLA-Conferred Susceptibility to Type 1 Diabetes. Diabetes Care. 34(6). 1383–1388. 7 indexed citations
13.
Luciani, Paola, Cecilia Bombelli, Marisa Colone, et al.. (2007). Influence of the Spacer of Cationic Gemini Amphiphiles on the Hydration of Lipoplexes. Biomacromolecules. 8(6). 1999–2003. 30 indexed citations
14.
Ryhänen, Samppa, et al.. (2006). Cationic lipid membranes—specific interactions with counter-ions. Journal of Physics Condensed Matter. 18(28). S1139–S1150. 6 indexed citations
15.
16.
Ryhänen, Samppa, Juha‐Matti Alakoskela, & Paavo K.J. Kinnunen. (2005). Increasing Surface Charge Density Induces Interdigitation in Vesicles of Cationic Amphiphile and Phosphatidylcholine. Langmuir. 21(13). 5707–5715. 23 indexed citations
17.
Hautala, Jari T., et al.. (2003). Simple coating of capillaries with anionic liposomes in capillary electrophoresis. Journal of Chromatography A. 1004(1-2). 81–90. 66 indexed citations
18.
Ryhänen, Samppa, et al.. (2003). Surface Charge Density Determines the Efficiency of Cationic Gemini Surfactant Based Lipofection. Biophysical Journal. 84(1). 578–587. 56 indexed citations
19.
Alakoskela, Juha‐Matti, et al.. (2003). Characterization of Sphingosine−Phosphatidylcholine Monolayers:  Effects of DNA. Langmuir. 19(21). 8956–8963. 16 indexed citations
20.
Ryhänen, Samppa, et al.. (2001). Characterization of Mixed Monolayers of Phosphatidylcholine and a Dicationic Gemini Surfactant SS-1 with a Langmuir Balance: Effects Of DNA. Biophysical Journal. 81(4). 2135–2143. 41 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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