Maxim Moshnyakov

1.3k total citations
12 papers, 1.1k citations indexed

About

Maxim Moshnyakov is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Sensory Systems. According to data from OpenAlex, Maxim Moshnyakov has authored 12 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cellular and Molecular Neuroscience, 8 papers in Molecular Biology and 2 papers in Sensory Systems. Recurrent topics in Maxim Moshnyakov's work include Nerve injury and regeneration (9 papers), Signaling Pathways in Disease (4 papers) and Neuropeptides and Animal Physiology (4 papers). Maxim Moshnyakov is often cited by papers focused on Nerve injury and regeneration (9 papers), Signaling Pathways in Disease (4 papers) and Neuropeptides and Animal Physiology (4 papers). Maxim Moshnyakov collaborates with scholars based in Finland, Estonia and Russia. Maxim Moshnyakov's co-authors include Märt Saarma, Urmas Arumäe, Jukka Ylikoski, Jaan Palgi, Ulla Pirvola, Hannu Sariola, Kirsi Sainio, Juha Kolehmainen, Ville Sallinen and Pertti Panula and has published in prestigious journals such as The Journal of Cell Biology, Circulation Research and Oncogene.

In The Last Decade

Maxim Moshnyakov

12 papers receiving 1.1k citations

Peers

Maxim Moshnyakov
Lynne M. Bianchi United States
Richard Pellegrino United States
Ina B. Wanner United States
Barbara J. Fredette United States
J. Lara Spain
Mark E. Lush United States
Paulette Bernd United States
Linda Erkman United States
Nancy A. McNelly United States
Lynne M. Bianchi United States
Maxim Moshnyakov
Citations per year, relative to Maxim Moshnyakov Maxim Moshnyakov (= 1×) peers Lynne M. Bianchi

Countries citing papers authored by Maxim Moshnyakov

Since Specialization
Citations

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

Fields of papers citing papers by Maxim Moshnyakov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maxim Moshnyakov

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

All Works

12 of 12 papers shown
1.
Panula, Pertti, Ville Sallinen, Maria Sundvik, et al.. (2006). Modulatory Neurotransmitter Systems and Behavior: Towards Zebrafish Models of Neurodegenerative Diseases. Zebrafish. 3(2). 235–247. 237 indexed citations
2.
Haapasalo, Annakaisa, Tommi Saarelainen, Maxim Moshnyakov, et al.. (1999). Expression of the naturally occurring truncated trkB neurotrophin receptor induces outgrowth of filopodia and processes in neuroblastoma cells. Oncogene. 18(6). 1285–1296. 59 indexed citations
3.
Luukko, Keijo, Urmas Arumäe, А А Караванов, et al.. (1997). Neurotrophin mRNA expression in the developing tooth suggests multiple roles in innervation and organogenesis. Developmental Dynamics. 210(2). 117–129. 60 indexed citations
4.
Luukko, Keijo, Urmas Arumäe, А А Караванов, et al.. (1997). Neurotrophin mRNA expression in the developing tooth suggests multiple roles in innervation and organogenesis. Developmental Dynamics. 210(2). 117–129. 3 indexed citations
5.
Moshnyakov, Maxim, Urmas Arumäe, & Märt Saarma. (1996). mRNAS for one, two or three members of trk receptor family are expressed in single rat trigeminal ganglion neurons. Molecular Brain Research. 43(1-2). 141–148. 26 indexed citations
6.
Suvanto, Petro, Jukka O. Hiltunen, Urmas Arumäe, et al.. (1996). Localization of Glial Cell Line‐derived Neurotrophic Factor (GDNF) mRNA in Embryonic Rat by In Situ Hybridization. European Journal of Neuroscience. 8(4). 816–822. 116 indexed citations
8.
Hiltunen, Jukka O., et al.. (1996). Expression of mRNAs for Neurotrophins and Their Receptors in Developing Rat Heart. Circulation Research. 79(5). 930–939. 49 indexed citations
9.
Pirvola, Ulla, Urmas Arumäe, Maxim Moshnyakov, et al.. (1994). Coordinated expression and function of neurotrophins and their receptors in the rat inner ear during target innervation. Hearing Research. 75(1-2). 131–144. 171 indexed citations
10.
Ylikoski, Jukka, Ulla Pirvola, Maxim Moshnyakov, et al.. (1993). Expression patterns of neurotrophin and their receptor mRNAs in the rat inner ear. Hearing Research. 65(1-2). 69–78. 255 indexed citations
11.
Arumäe, Urmas, Ulla Pirvola, Jaan Palgi, et al.. (1993). Neurotrophins and their receptors in rat peripheral trigeminal system during maxillary nerve growth. The Journal of Cell Biology. 122(5). 1053–1065. 66 indexed citations
12.
Липкин, В. М., N.V. Khramtsov, С. Г. Андреева, et al.. (1989). Calmodulin‐independent bovine brain adenylate cyclase Amino acid sequence and nucleotide sequence of the corresponding cDNA. FEBS Letters. 254(1-2). 69–73. 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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