P. Liesi

2.1k citations
27 papers · 1.8k · h-index 18

Impact in

Papers in

P. Liesi

27 papers receiving 1.7k citations

Peers

P. Liesi
Comparison fields: 5 of 93
  • Developmental Neuroscience 515
  • Immunology and Allergy 476
  • Cellular and Molecular Neuroscience 974
  • Neurology 189
  • Cell Biology 292
Replace Päivi Liesi with:
Päivi Liesi Finland
R P Bunge United States
M. Schachner Germany
Ilse Bartke Germany
Babette Fuss United States
Diane M. Snow United States
Amanda Littlewood-Evans Switzerland
Horst H. Simon Germany
Stefan Britsch Germany
Anne L. Prieto United States
P. Liesi relative to Päivi Liesi Finland Päivi Liesi's profile →
Citations per field
00.5×1.6×
Päivi Liesi · 1×
Citations per year

Countries citing papers authored by P. Liesi

Since Specialization
Citations

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

Fields of papers citing papers by P. Liesi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside P. Liesi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with P. Liesi Line = papers co-authored together P. Liesi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1983330
2 1984273
3 1985249
4 1985217
5
Neuropeptides in synovium of patients with rheumatoid arthritis and osteoarthritis.
1988118
6 199787
7 199073
8 199551
9 199246
10 198643
11 198343
12 199239
13 199631
14 198328
15 198327
16
Laminin and fibronectin in normal and malignant neuroectodermal cells.
198422
17 199819
18 199419
19
Immunoreactive neuropeptides in nerves in ligamentous tissue. An experimental neuroimmunohistochemical study.
199116
20 198114

About P. Liesi

P. Liesi is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Immunology and Allergy, Cell Biology and Developmental Neuroscience, having authored 27 papers that have together received 1.8k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (9 papers), Cell Adhesion Molecules Research (8 papers), Neuropeptides and Animal Physiology (5 papers), S100 Proteins and Annexins (5 papers), Neurogenesis and neuroplasticity mechanisms (5 papers), Caveolin-1 and cellular processes (3 papers), Proteoglycans and glycosaminoglycans research (2 papers) and Biochemical effects in animals (2 papers). The work is most often cited by research in Developmental Neuroscience (515 citations), Immunology and Allergy (476 citations), Cellular and Molecular Neuroscience (974 citations), Neurology (189 citations) and Cell Biology (292 citations). P. Liesi has collaborated with scholars based in Finland, United States and Germany. Frequent co-authors include D. Dahl, Antti Vaheri, Seppo Kaakkola, Leena Rechardt, Mats Grönblad, J. M. Polak, Olli Korkala, Y. T. Konttinen, Mika Hukkanen and Jorma Wartiovaara. Their work appears in journals such as The EMBO Journal, The Journal of Cell Biology, Journal of Histochemistry & Cytochemistry, Histochemistry and Cell Biology and FEBS Letters.

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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