Helge Neidt
- Cellular and Molecular Neuroscience top 5%
- Molecular Biology
- Psychiatry and Mental health top 5%
- Clinical Psychology top 10%
- Genetics
- Co-authors
- Peter ProppingMarkus M. NöthenWolfgang MaierErik G. JönssonPetter GustavssonPetra FrankeMichael KnappMarkus M. N�then
- Topics
- Neurotransmitter Receptor Influence on Behavior (12 papers)Receptor Mechanisms and Signaling (5 papers)Attention Deficit Hyperactivity Disorder (4 papers)
In The Last Decade
Helge Neidt
22 papers receiving 958 citations
Peers
Comparison fields: 5 of 71
- Cellular and Molecular Neuroscience 564
- Molecular Biology 265
- Psychiatry and Mental health 217
- Clinical Psychology 174
- Genetics 160
Countries citing papers authored by Helge Neidt
This map shows the geographic impact of Helge Neidt'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 Helge Neidt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Helge Neidt more than expected).
Fields of papers citing papers by Helge Neidt
This network shows the impact of papers produced by Helge Neidt. 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 Helge Neidt. The network helps show where Helge Neidt may publish in the future.
Co-authorship network of co-authors of Helge Neidt
This figure shows the co-authorship network connecting the top 25 collaborators of Helge Neidt. A scholar is included among the top collaborators of Helge Neidt 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 Helge Neidt. Helge Neidt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 46 | |
| 2 | 33 | |
| 3 | Nonreplication of association between mu-opioid-receptor gene (OPRM1) A118G polymorphism and substance dependence. | 99 |
| 4 | 81 | |
| 5 | Moclobemide response in depressed patients: Association study with a functional polymorphism in the monoamine oxidase-A promoter | 14 |
| 6 | 65 | |
| 7 | 33 | |
| 8 | 5 | |
| 9 | 54 | |
| 10 | 138 | |
| 11 | Brief Research Communication Association Between a Functional Polymorphism in the Monoamine Oxidase A Gene Promoter and Major Depressive Disorder | 4 |
| 12 | 51 | |
| 13 | 61 | |
| 14 | 60 | |
| 15 | 2 | |
| 16 | 39 | |
| 17 | 84 | |
| 18 | 2 | |
| 19 | 106 | |
| 20 | 2 |
About Helge Neidt
Helge Neidt is a scholar working on Cellular and Molecular Neuroscience, Biological Psychiatry and Anesthesiology and Pain Medicine, having authored 22 papers that have together received 984 indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (12 papers), Receptor Mechanisms and Signaling (5 papers) and Attention Deficit Hyperactivity Disorder (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (564 citations), Biological Psychiatry (70 citations) and Anesthesiology and Pain Medicine (102 citations). Helge Neidt has collaborated with scholars based in Germany, Sweden and Canada. Frequent co-authors include Peter Propping, Markus M. Nöthen, Wolfgang Maier, Erik G. Jönsson, Petter Gustavsson, Petra Franke, Michael Knapp, Markus M. N�then, Göran C. Sedvall and Marcella Rietschel. Their work appears in journals such as American Journal of Psychiatry, The American Journal of Human Genetics and Psychological Medicine.
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.