Jari Honkaniemi

3.3k citations
49 papers · 2.6k · h-index 32

Impact in

Papers in

Jari Honkaniemi

47 papers receiving 2.6k citations

Peers

Jari Honkaniemi
Comparison fields: 5 of 102
  • Behavioral Neuroscience 278
  • Cellular and Molecular Neuroscience 914
  • Developmental Neuroscience 137
  • Biological Psychiatry 81
  • Neurology 263
Replace Paul J. L. M. Strijbos with:
Paul J. L. M. Strijbos United Kingdom
Naoko Kuzumaki Japan
Philippe Brachet France
Leonard P. Miller United States
Kerstin Iverfeldt Sweden
Shiping Zou United States
Michel Pohl France
J M Hill United States
Eitan Friedman United States
Ann Massie Belgium
Jari Honkaniemi relative to Paul J. L. M. Strijbos United Kingdom Paul J. L. M. Strijbos's profile →
Citations per field
00.5×1.5×2.4×
Paul J. L. M. Strijbos · 1×
Citations per year

Countries citing papers authored by Jari Honkaniemi

Since Specialization
Citations

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

Fields of papers citing papers by Jari Honkaniemi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008201
2 2003133
3 1996115
4 2004107
5 2007107
6 2004101
7 199798
8 199693
9 199389
10 199275
11 199773
12 199273
13 199772
14 200572
15 199670
16 199669
17 201168
18 199467
19 199965
20 199665

About Jari Honkaniemi

Jari Honkaniemi is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Behavioral Neuroscience, Endocrinology, Diabetes and Metabolism and Neurology, having authored 49 papers that have together received 2.6k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (10 papers), Stress Responses and Cortisol (8 papers), Nuclear Receptors and Signaling (7 papers), Mitochondrial Function and Pathology (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Heat shock proteins research (4 papers), Galectins and Cancer Biology (3 papers) and Hormonal Regulation and Hypertension (3 papers). The work is most often cited by research in Behavioral Neuroscience (278 citations), Cellular and Molecular Neuroscience (914 citations), Developmental Neuroscience (137 citations), Biological Psychiatry (81 citations) and Neurology (263 citations). Jari Honkaniemi has collaborated with scholars based in Finland, United States and Sweden. Frequent co-authors include Frank R. Sharp, Jukka Peltola, Kai Lehtimäki, Markku Pelto‐Huikko, Tapani Keränen, Juha Kononen, Bradley A. States, Philip R. Weinstein, Stephen M. Massa and Frank M. Longo. Their work appears in journals such as Brain Research, Journal of Cerebral Blood Flow & Metabolism, Molecular and Cellular Endocrinology, European Journal of Neuroscience and Journal of Neuroimmunology.

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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