Nina Mohell

2.7k citations
64 papers · 2.4k · h-index 27

Impact in

Papers in

Nina Mohell

64 papers receiving 2.2k citations

Peers

Nina Mohell
Comparison fields: 5 of 103
  • Cellular and Molecular Neuroscience 1.1k
  • Physiology 566
  • Behavioral Neuroscience 77
  • Biological Psychiatry 51
  • Endocrine and Autonomic Systems 127
Replace Gene C. Palmer with:
Gene C. Palmer United States
M. Da Prada Switzerland
Michael T. Piascik United States
Isao Yokoi Japan
Harlan E. Shannon United States
Lane J. Wallace United States
Martin Perkins United Kingdom
Jeffry L. Vaught United States
Magdalena Torres Spain
Ethan S. Burstein United States
Nina Mohell relative to Gene C. Palmer United States Gene C. Palmer's profile →
Citations per field
00.5×2×4×6×8.6×
Gene C. Palmer · 1×
Citations per year

Countries citing papers authored by Nina Mohell

Since Specialization
Citations

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

Fields of papers citing papers by Nina Mohell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004220
2 1993198
3
Carbon-11-FLB 457: a radioligand for extrastriatal D2 dopamine receptors.
1995192
4 2015161
5 1997114
6 1989107
7 198374
8 199464
9 200259
10 199557
11 198356
12 201656
13 200654
14
Agonist and inverse agonist activity at the dopamine D3 receptor measured by guanosine 5'--gamma-thio-triphosphate--35S- binding.
199849
15 200447
16 199346
17 199444
18 198739
19 198639
20 198439

About Nina Mohell

Nina Mohell is a scholar working on Cellular and Molecular Neuroscience, Animal Science and Zoology, Physiology, Molecular Biology and Pharmacology, having authored 64 papers that have together received 2.4k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (32 papers), Adipose Tissue and Metabolism (19 papers), Neuroscience and Neuropharmacology Research (14 papers), Neuropeptides and Animal Physiology (14 papers), Neurotransmitter Receptor Influence on Behavior (13 papers), Pharmacological Effects and Assays (13 papers), Pharmacological Receptor Mechanisms and Effects (8 papers) and Chemical Synthesis and Analysis (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.1k citations), Physiology (566 citations), Behavioral Neuroscience (77 citations), Biological Psychiatry (51 citations) and Endocrine and Autonomic Systems (127 citations). Nina Mohell has collaborated with scholars based in Sweden, United States and Spain. Frequent co-authors include Åsa Malmberg, Jan Nedergaard, Barbara Cannon, D M Jackson, Andrea Dicker, Anders Eriksson, Uli Hacksell, Eva Jerning, Thomas Högberg and Jessica Alfredsson. Their work appears in journals such as European Journal of Pharmacology, Journal of Medicinal Chemistry, Journal of Pharmacology and Experimental Therapeutics, American Journal of Physiology-Cell Physiology and Molecular Pharmacology.

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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