Mikhail Paveliev

543 citations
19 papers · 429 indexed · h-index 10
Topics
Nerve injury and regeneration (10 papers)Proteoglycans and glycosaminoglycans research (9 papers)Glycosylation and Glycoproteins Research (4 papers)
Partner nations
FinlandRussiaAustria

In The Last Decade

Mikhail Paveliev

18 papers receiving 419 citations

Peers

Mikhail Paveliev
Comparison fields: 5 of 72
  • Cellular and Molecular Neuroscience 267
  • Molecular Biology 153
  • Cell Biology 135
  • Developmental Neuroscience 92
  • Neurology 46
Replace Wenliang Lei with:
Wenliang Lei China
Telma E. Santos Portugal
Camila Lopez‐Anido United States
Corey M. McCann United States
Maren Geißler Germany
Linde Kegel United Kingdom
Mirela Spillane United States
Bart Nieuwenhuis United Kingdom
Stéphanie Backer France
Chin Lik Tan United Kingdom
Mikhail Paveliev relative to Wenliang Lei China Wenliang Lei's profile →
Citations per field
00.5×1.5×
Wenliang Lei · 1×
Citations per year

Countries citing papers authored by Mikhail Paveliev

Since Specialization
Citations

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

Fields of papers citing papers by Mikhail Paveliev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mikhail Paveliev

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 0
2 3
3 1
4 7
5 2
6 3
7 28
8 20
9 37
10 13
11 41
12 9
13 1
14 163
15 27
16 6
17 14
18 42
19 12

About Mikhail Paveliev

Mikhail Paveliev is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Cell Biology, having authored 19 papers that have together received 429 indexed citations. Recurring topics across this work include Nerve injury and regeneration (10 papers), Proteoglycans and glycosaminoglycans research (9 papers) and Glycosylation and Glycoproteins Research (4 papers). The work is most often cited by research in Developmental Neuroscience (92 citations), Cellular and Molecular Neuroscience (267 citations) and Cell Biology (135 citations). Mikhail Paveliev has collaborated with scholars based in Finland, Russia and Austria. Frequent co-authors include Märt Saarma, Heikki Rauvala, Maxim M. Bespalov, Yulia Sidorova, Evgeny Kulesskiy, Claudio Rivera, Sarka Tumova, Natalia Kulesskaya, Matti S. Airaksinen and Juha Kuja‐Panula. Their work appears in journals such as The Journal of Cell Biology, Scientific Reports and Brain Research.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026