Nina Mohell

2.7k citations
65 papers · 2.2k indexed · h-index 27

Impact in

Papers in

Nina Mohell

65 papers receiving 2.1k citations

Peers

Nina Mohell
Comparison fields: 5 of 102
  • Cellular and Molecular Neuroscience 1.0k
  • Biological Psychiatry 55
  • Behavioral Neuroscience 74
  • Physiology 517
  • Endocrine and Autonomic Systems 131
Replace M. Da Prada with:
M. Da Prada Switzerland
Gene C. Palmer United States
Michael T. Piascik United States
Jeffry L. Vaught United States
Michael A. Statnick United States
Ethan S. Burstein United States
Timothy A. Esbenshade United States
Shigeo Kitayama Japan
L. Stjärne Sweden
Patricia C. Contreras United States
Nina Mohell relative to M. Da Prada Switzerland M. Da Prada's profile →
Citations per field
00.5×3.2×
M. Da Prada · 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-authorship network

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
#Work
1 2015151
2 201122
3 201014
4 20085
5 200652
6 200422
7 20027
8 20018
9 200119
10 19993
11 199815
12 199816
13 199819
14 199619
15 19959
16 19955
17 199425
18 199452
19 199343
20 198429

About Nina Mohell

Nina Mohell is a scholar working on Cellular and Molecular Neuroscience, Animal Science and Zoology, Physiology, Molecular Biology and Behavioral Neuroscience, having authored 65 papers that have together received 2.2k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (32 papers), Adipose Tissue and Metabolism (18 papers), Neuroscience and Neuropharmacology Research (15 papers), Neurotransmitter Receptor Influence on Behavior (14 papers), Neuropeptides and Animal Physiology (14 papers), Pharmacological Effects and Assays (12 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 (1.0k citations), Biological Psychiatry (55 citations), Behavioral Neuroscience (74 citations), Physiology (517 citations) and Endocrine and Autonomic Systems (131 citations). Nina Mohell has collaborated with scholars based in Sweden, United States and United Kingdom. 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, Bioorganic & Medicinal Chemistry Letters 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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