Eva Drews
Impact in
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
- Behavioral Neuroscience top 10%
- Stress Responses and Cortisol
Papers in ⓘ
-
- Neuroscience and Neuropharmacology Research 7
- Neurotransmitter Receptor Influence on Behavior 5
- Neuropeptides and Animal Physiology 2
-
- Cannabis and Cannabinoid Research 5
- Co-authors
- Andreas Zimmer (7 shared papers)Michael Koch (2 shared papers)Miriam Schneider (2 shared papers)M Schneider (1 shared paper)András Bilkei‐Gorzó (5 shared papers)David-Marian Otte (4 shared papers)Roland Zahn (3 shared papers)Klaus Willmes (3 shared papers)
- Journals
- Behavioural Pharmacology (2 papers)Progress in Neurobiology (1 paper)Neuroscience & Biobehavioral Reviews (1 paper)Neurocase (1 paper)Cellular and Molecular Neurobiology (1 paper)
- Partner nations
- GermanyUnited StatesIndia
In The Last Decade
Eva Drews
18 papers receiving 606 citations
Peers
Comparison fields: 5 of 77
- Biological Psychiatry 71
- Behavioral Neuroscience 46
- Cellular and Molecular Neuroscience 225
- Pharmacology 184
- Cognitive Neuroscience 152
Countries citing papers authored by Eva Drews
This map shows the geographic impact of Eva Drews'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 Eva Drews with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Drews more than expected).
Fields of papers citing papers by Eva Drews
This network shows the impact of papers produced by Eva Drews. 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 Eva Drews. The network helps show where Eva Drews may publish in the future.
Co-authors
The 25 scholars most cited alongside Eva Drews, 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 | 2011 | 86 | |
| 2 | 2012 | 62 | |
| 3 | 2004 | 60 | |
| 4 | 2005 | 58 | |
| 5 | 2009 | 52 | |
| 6 | 2004 | 52 | |
| 7 | 2000 | 50 | |
| 8 | 2010 | 50 | |
| 9 | 2020 | 38 | |
| 10 | 2014 | 21 | |
| 11 | 2012 | 19 | |
| 12 | 2002 | 18 | |
| 13 | 2013 | 18 | |
| 14 | 2014 | 17 | |
| 15 | 2009 | 7 | |
| 16 | 1964 | 6 | |
| 17 | 2012 | 1 | |
| 18 | 2005 | 1 |
About Eva Drews
Eva Drews is a scholar working on Cellular and Molecular Neuroscience, Pharmacology, Molecular Biology, Cognitive Neuroscience and Biochemistry, having authored 18 papers that have together received 616 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (7 papers), Neurotransmitter Receptor Influence on Behavior (5 papers), Cannabis and Cannabinoid Research (5 papers), Neurobiology of Language and Bilingualism (3 papers), Amino Acid Enzymes and Metabolism (3 papers), Metabolism and Genetic Disorders (2 papers), Neuropeptides and Animal Physiology (2 papers) and Neuroendocrine regulation and behavior (2 papers). The work is most often cited by research in Biological Psychiatry (71 citations), Behavioral Neuroscience (46 citations), Cellular and Molecular Neuroscience (225 citations), Pharmacology (184 citations) and Cognitive Neuroscience (152 citations). Eva Drews has collaborated with scholars based in Germany, United States and India. Frequent co-authors include Andreas Zimmer, Michael Koch, Miriam Schneider, M Schneider, András Bilkei‐Gorzó, David-Marian Otte, Roland Zahn, Klaus Willmes, Michael Schwarz and Walter Huber. Their work appears in journals such as Behavioural Pharmacology, Progress in Neurobiology, Neuroscience & Biobehavioral Reviews, Neurocase and Cellular and Molecular Neurobiology.
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.