M. J. Kuhar

10.0k citations
85 papers · 8.3k indexed · 3 hit papers · h-index 41
Topics
Neuroscience and Neuropharmacology Research (30 papers)Receptor Mechanisms and Signaling (24 papers)Neurotransmitter Receptor Influence on Behavior (20 papers)

In The Last Decade

M. J. Kuhar

85 papers receiving 8.0k citations

Hit Papers

The dopamine hypothesis of the reinforcing properties of ...1977202619932009199119781977250500750

Peers

M. J. Kuhar
Comparison fields: 5 of 131
  • Cellular and Molecular Neuroscience 5.5k
  • Molecular Biology 4.0k
  • Physiology 1.5k
  • Endocrine and Autonomic Systems 1.2k
  • Cognitive Neuroscience 832
Replace Jean Costentin with:
Jean Costentin France
Boris Tabakoff United States
Derek N. Middlemiss United Kingdom
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M. J. Kuhar relative to Jean Costentin France Jean Costentin's profile →
Citations per field
00.5×1.5×
Jean Costentin · 1×
Citations per year

Countries citing papers authored by M. J. Kuhar

Since Specialization
Citations

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

Fields of papers citing papers by M. J. Kuhar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. J. Kuhar. 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 M. J. Kuhar. The network helps show where M. J. Kuhar may publish in the future.

Co-authorship network of co-authors of M. J. Kuhar

This figure shows the co-authorship network connecting the top 25 collaborators of M. J. Kuhar. A scholar is included among the top collaborators of M. J. Kuhar 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 M. J. Kuhar. M. J. Kuhar 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 10
2 9
3 29
4
Drug addiction : research frontiers and treatment advances
6
5 23
6 49
7 82
8 94
9 13
10 70
11 85
12 102
13 13
14 68
15
The dopamine hypothesis of the reinforcing properties of cocainebreakdown →
878
16 62
17 8
18 2
19
Neurotransmitter receptor bindingbreakdown →
698
20
Sodium dependent high affinity choline uptake as a regulatory step in acetyl choline synthesis
4

About M. J. Kuhar

M. J. Kuhar is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Behavioral Neuroscience, having authored 85 papers that have together received 8.3k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (30 papers), Receptor Mechanisms and Signaling (24 papers) and Neurotransmitter Receptor Influence on Behavior (20 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (5.5k citations), Endocrine and Autonomic Systems (1.2k citations) and Behavioral Neuroscience (594 citations). M. J. Kuhar has collaborated with scholars based in United States, Sweden and Slovenia. Frequent co-authors include Mary C. Ritz, Solomon H. Snyder, Jay Simon, J.W. Boja, Henry I. Yamamura, S.J. Enna, Samir Atweh, C. B. Pert, George K. Aghajanian and R.H. Roth. Their work appears in journals such as Proceedings of the National Academy of Sciences, Neurology and Trends in Neurosciences.

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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