Linda Naes
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- Neuropeptides and Animal Physiology 17
- Neurotransmitter Receptor Influence on Behavior 4
- Behavioral Neuroscience top 10%
- Endocrine and Autonomic Systems top 10%
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- Pain Mechanisms and Treatments 2
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- Receptor Mechanisms and Signaling 9
- Nicotinic Acetylcholine Receptors Study 3
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- Cardiovascular, Neuropeptides, and Oxidative Stress Research 6
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- Hormonal Regulation and Hypertension 6
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- Neuroendocrine regulation and behavior 2
- Co-authors
- Thomas C. WestfallSong‐Ping HanXiaoli ChenGiampaolo MereuGian Luigi GessaT. C. WestfallMichael J. MeldrumShuping Han
- Journals
- Biochemical and Biophysical Research Communications (1 paper)Annals of the New York Academy of Sciences (2 papers)Journal of Pharmacology and Experimental Therapeutics (2 papers)
- Partner nations
- United StatesRussia
In The Last Decade
Linda Naes
21 papers receiving 866 citations
Peers
Comparison fields: 5 of 74
- Cellular and Molecular Neuroscience 671
- Behavioral Neuroscience 56
- Endocrine and Autonomic Systems 93
- Physiology 180
- Molecular Biology 462
Countries citing papers authored by Linda Naes
This map shows the geographic impact of Linda Naes'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 Linda Naes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linda Naes more than expected).
Fields of papers citing papers by Linda Naes
This network shows the impact of papers produced by Linda Naes. 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 Linda Naes. The network helps show where Linda Naes may publish in the future.
Co-authorship network
The 19 scholars most cited alongside Linda Naes, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 6 | |
| 2 | 2005 | 10 | |
| 3 | 2005 | 15 | |
| 4 | 1998 | 33 | |
| 5 | 1998 | 69 | |
| 6 | 1997 | 2 | |
| 7 | 1997 | 21 | |
| 8 | 1990 | 12 | |
| 9 | 1990 | 31 | |
| 10 | 1990 | 106 | |
| 11 | 1990 | 57 | |
| 12 | 1989 | 30 | |
| 13 | 1988 | 44 | |
| 14 | 1987 | 89 | |
| 15 | 1987 | 236 | |
| 16 | 1987 | 5 | |
| 17 | 1987 | 13 | |
| 18 | 1986 | 9 | |
| 19 | 1983 | 24 | |
| 20 | 1983 | 23 |
About Linda Naes
Linda Naes is a scholar working on Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism and Behavioral Neuroscience, having authored 21 papers that have together received 875 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (17 papers), Receptor Mechanisms and Signaling (9 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (6 papers), Hormonal Regulation and Hypertension (6 papers), Neurotransmitter Receptor Influence on Behavior (4 papers), Nicotinic Acetylcholine Receptors Study (3 papers), Pain Mechanisms and Treatments (2 papers) and Neuroendocrine regulation and behavior (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (671 citations), Behavioral Neuroscience (56 citations) and Endocrine and Autonomic Systems (93 citations). Linda Naes has collaborated with scholars based in United States and Russia. Frequent co-authors include Thomas C. Westfall, Song‐Ping Han, Xiaoli Chen, Giampaolo Mereu, Gian Luigi Gessa, T. C. Westfall, Michael J. Meldrum, Shuping Han, Bryan F. Cox and Margery C. Beinfeld. Their work appears in journals such as Biochemical and Biophysical Research Communications, Annals of the New York Academy of Sciences and Journal of Pharmacology and Experimental Therapeutics.
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.