M J Kuhar

5.7k citations
56 papers · 4.8k indexed · h-index 35
Topics
Neurotransmitter Receptor Influence on Behavior (30 papers)Receptor Mechanisms and Signaling (28 papers)Neuroscience and Neuropharmacology Research (27 papers)

In The Last Decade

M J Kuhar

55 papers receiving 4.6k citations

Peers

M J Kuhar
Comparison fields: 5 of 114
  • Cellular and Molecular Neuroscience 3.5k
  • Molecular Biology 2.2k
  • Cognitive Neuroscience 609
  • Physiology 484
  • Toxicology 421
Replace G. L. Gessa with:
G. L. Gessa Italy
Mary C. Ritz United States
Yossef Itzhak United States
Nancy R. Zahniser United States
Wouter Koek United States
R. Laverty New Zealand
MJ Kuhar United States
G Cossu Italy
Annette E. Fleckenstein United States
Andrew B. Norman United States
M J Kuhar relative to G. L. Gessa Italy G. L. Gessa's profile →
Citations per field
00.5×1.5×
G. L. Gessa · 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 15
2 11
3 249
4 3
5 139
6 171
7 66
8
Neuropeptide receptors in the CNS
12
9 44
10 62
11 74
12 194
13
Neuropeptides in the CNS
7
14
In vivo labeling of cocaine receptors with sup 3 H-(-) cocaine, sup 3 H-WIN 35,065-2 and sup 3 H-WIN 35,428
1
15 64
16 32
17 384
18 46
19 42
20 319

About M J Kuhar

M J Kuhar is a scholar working on Cellular and Molecular Neuroscience, Biological Psychiatry and Endocrine and Autonomic Systems, having authored 56 papers that have together received 4.8k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (30 papers), Receptor Mechanisms and Signaling (28 papers) and Neuroscience and Neuropharmacology Research (27 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (3.5k citations), Toxicology (421 citations) and Endocrine and Autonomic Systems (359 citations). M J Kuhar has collaborated with scholars based in United States, Bulgaria and Australia. Frequent co-authors include W. Scott Young, Anita H. Lewin, José Palacios, Mary C. Ritz, John W. Boja, E B De Souza, Nancy S. Pilotte, Marco A. Zarbin, James K. Wamsley and Elizabeth O’Hearn. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature reviews. Neuroscience and Brain Research.

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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