Ján Kehr

7.8k citations
135 papers · 6.0k indexed · h-index 44
Topics
Receptor Mechanisms and Signaling (37 papers)Neuroscience and Neuropharmacology Research (36 papers)Neuropeptides and Animal Physiology (27 papers)
Partner nations
SwedenUnited StatesJapan

In The Last Decade

Ján Kehr

131 papers receiving 5.9k citations

Peers

Ján Kehr
Comparison fields: 5 of 149
  • Cellular and Molecular Neuroscience 2.9k
  • Molecular Biology 2.1k
  • Biomedical Engineering 576
  • Neurology 568
  • Cognitive Neuroscience 554
Replace Yvette Michotte with:
Yvette Michotte Belgium
Takashi Yoshitake Sweden
Nancy R. Zahniser United States
Ian J. Reynolds United States
Masato Asanuma Japan
Ilse Smolders Belgium
Maarten E. A. Reith United States
Chuang C. Chiueh United States
Teresa G. Hastings United States
Povl Krogsgaard‐Larsen Denmark
Ján Kehr relative to Yvette Michotte Belgium Yvette Michotte's profile →
Citations per field
00.5×1.5×2.3×
Yvette Michotte · 1×
Citations per year

Countries citing papers authored by Ján Kehr

Since Specialization
Citations

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

Fields of papers citing papers by Ján Kehr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ján Kehr

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 2
3 3
4 19
5 8
6 19
7 6
8 43
9 24
10 30
11 43
12 34
13 16
14 7
15 31
16 78
17 59
18 41
19 12
20
The NMDA-antagonist MK-801 reduces extracellular amino acid levels during hypoglycemia and prevents striatal damage
40

About Ján Kehr

Ján Kehr is a scholar working on Cellular and Molecular Neuroscience, Behavioral Neuroscience and Anesthesiology and Pain Medicine, having authored 135 papers that have together received 6.0k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (37 papers), Neuroscience and Neuropharmacology Research (36 papers) and Neuropeptides and Animal Physiology (27 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.9k citations), Biological Psychiatry (263 citations) and Toxicology (216 citations). Ján Kehr has collaborated with scholars based in Sweden, United States and Japan. Frequent co-authors include Takashi Yoshitake, Urban Ungerstedt, Shimako Yoshitake, Sven Ove Ögren, Börje Bjelke, Mamoun Muhammed, Hitoshi Nohta, Masatoshi Yamaguchi, Kjell Fuxé and Kaoru Fujino. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Neuroscience.

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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