Åke Seiger

6.1k citations
128 papers · 4.8k · h-index 40

Impact in

Papers in

Åke Seiger

126 papers receiving 4.6k citations

Peers

Åke Seiger
Comparison fields: 5 of 128
  • Developmental Neuroscience 913
  • Cellular and Molecular Neuroscience 1.9k
  • Pathology and Forensic Medicine 1.0k
  • Physiology 936
  • Neurology 304
Replace Matt S. Ramer with:
Matt S. Ramer Canada
François Féron France
Steve Lacroix Canada
Steve Thompson United Kingdom
Damien D. Pearse United States
Alexander G. Rabchevsky United States
Luciana Giardino Italy
Richard Asher United Kingdom
Fletcher A. White United States
Bradley J. Kerr Canada
Åke Seiger relative to Matt S. Ramer Canada Matt S. Ramer's profile →
Citations per field
00.5×1.5×
Matt S. Ramer · 1×
Citations per year

Countries citing papers authored by Åke Seiger

Since Specialization
Citations

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

Fields of papers citing papers by Åke Seiger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Åke Seiger, 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 Åke Seiger Line = papers co-authored together Åke Seiger links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 128 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999403
2 1999240
3 1995231
4 1987198
5 1992156
6 1991133
7 1993114
8 2012106
9 1971102
10 199292
11 199492
12 200284
13 201082
14 199779
15 198774
16 197769
17 201467
18 200167
19 199467
20
Localization of nerve growth factor-like immunoreactivity in rat nervous tissue.
198367

About Åke Seiger

Åke Seiger is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Pathology and Forensic Medicine, Physiology and Developmental Neuroscience, having authored 128 papers that have together received 4.8k indexed citations. Recurring topics across this work include Nerve injury and regeneration (26 papers), Spinal Cord Injury Research (23 papers), Neuroscience and Neuropharmacology Research (21 papers), Pain Mechanisms and Treatments (17 papers), Neuropeptides and Animal Physiology (13 papers), Neurogenesis and neuroplasticity mechanisms (12 papers), Receptor Mechanisms and Signaling (11 papers) and Photoreceptor and optogenetics research (11 papers). The work is most often cited by research in Developmental Neuroscience (913 citations), Cellular and Molecular Neuroscience (1.9k citations), Pathology and Forensic Medicine (1.0k citations), Physiology (936 citations) and Neurology (304 citations). Åke Seiger has collaborated with scholars based in Sweden, United States and United Kingdom. Frequent co-authors include Richard Levi, Claes Hultling, Camilla Sköld, Mark S. Nash, Barry J. Hoffer, Erik Sundström, Håkan Aldskogius, Jianjun Hao, Zsuzsanna Wiesenfeld‐Hallin and Lars U. Wahlberg. Their work appears in journals such as Experimental Neurology, Brain Research, Journal of Rehabilitation Medicine, International Journal of Developmental Neuroscience and Pain.

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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