Donna Walther
Impact in
- Toxicology top 0.5%
- Forensic Toxicology and Drug Analysis
-
- Neurotransmitter Receptor Influence on Behavior
- Neuroscience and Neuropharmacology Research
Papers in
- Toxicology 17
- Forensic Toxicology and Drug Analysis 17
-
- Neurotransmitter Receptor Influence on Behavior 30
- Neuroscience and Neuropharmacology Research 10
- Co-authors
- George R. UhlQing‐Rong LiuTomás DrgonCatherine A JohnsonJudith HessMichael H. BaumannJed E. RoseDaniel Q. Naiman
- Journals
- American Journal of Medical Genetics Part B Neuropsychiatric Genetics (4 papers)Drug Testing and Analysis (4 papers)ACS Chemical Neuroscience (4 papers)Molecular Medicine (4 papers)Molecular Psychiatry (4 papers)
- Partner nations
- United StatesBelgiumUnited Kingdom
In The Last Decade
Donna Walther
70 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 112
- Toxicology 338
- Cellular and Molecular Neuroscience 1.5k
- Developmental Neuroscience 130
- Pharmacology 403
- Genetics 587
Countries citing papers authored by Donna Walther
This map shows the geographic impact of Donna Walther'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 Donna Walther with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donna Walther more than expected).
Fields of papers citing papers by Donna Walther
This network shows the impact of papers produced by Donna Walther. 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 Donna Walther. The network helps show where Donna Walther may publish in the future.
Co-authors
The 25 scholars most cited alongside Donna Walther, 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 | 2024 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 7 | |
| 6 | 2022 | 18 | |
| 7 | 2022 | 61 | |
| 8 | 2022 | 34 | |
| 9 | 2021 | 11 | |
| 10 | 2018 | 30 | |
| 11 | 2018 | 69 | |
| 12 | 2012 | 25 | |
| 13 | 2011 | 20 | |
| 14 | 2011 | 54 | |
| 15 | 2008 | 174 | |
| 16 | 2004 | 24 | |
| 17 | 2004 | 193 | |
| 18 | 2003 | 9 | |
| 19 | 2001 | 215 | |
| 20 | 1994 | 52 |
About Donna Walther
Donna Walther is a scholar working on Toxicology, Cellular and Molecular Neuroscience, Physiology, Clinical Psychology and Molecular Biology, having authored 73 papers that have together received 3.1k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (30 papers), Forensic Toxicology and Drug Analysis (17 papers), Receptor Mechanisms and Signaling (15 papers), Genetic Associations and Epidemiology (14 papers), Psychedelics and Drug Studies (13 papers), Neuroscience and Neuropharmacology Research (10 papers), Pharmacological Receptor Mechanisms and Effects (10 papers) and Pain Mechanisms and Treatments (9 papers). The work is most often cited by research in Toxicology (338 citations), Cellular and Molecular Neuroscience (1.5k citations), Developmental Neuroscience (130 citations), Pharmacology (403 citations) and Genetics (587 citations). Donna Walther has collaborated with scholars based in United States, Belgium and United Kingdom. Frequent co-authors include George R. Uhl, Qing‐Rong Liu, Tomás Drgon, Catherine A Johnson, Judith Hess, Michael H. Baumann, Jed E. Rose, Daniel Q. Naiman, George R. Uhl and Grant C. Glatfelter. Their work appears in journals such as American Journal of Medical Genetics Part B Neuropsychiatric Genetics, Drug Testing and Analysis, ACS Chemical Neuroscience, Molecular Medicine and Molecular Psychiatry.
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.