Sunil Goodwani
Impact in
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
-
- Neuroscience and Neuropharmacology Research
- Neurotransmitter Receptor Influence on Behavior
Papers in
-
- Receptor Mechanisms and Signaling 3
- FOXO transcription factor regulation 1
-
- Neuroscience and Neuropharmacology Research 4
- Neurotransmitter Receptor Influence on Behavior 4
- Co-authors
- Youssef Sari (5 shared papers)Fawaz Alasmari (2 shared papers)Shantanu Rao (3 shared papers)Hannah C. Saternos (2 shared papers)Richard L. Bell (2 shared papers)Robert E. McCullumsmith (1 shared paper)Sai H. S. Boddu (1 shared paper)Virginie Buggia-Prévot (2 shared papers)
- Journals
- Neuroscience (1 paper)Pain (1 paper)Alzheimer s & Dementia (1 paper)Neuroscience & Biobehavioral Reviews (1 paper)Brain Research (1 paper)
- Partner nations
- United States
In The Last Decade
Sunil Goodwani
8 papers receiving 294 citations
Peers
Comparison fields: 5 of 57
- Biological Psychiatry 28
- Cellular and Molecular Neuroscience 189
- Neurology 33
- Developmental Neuroscience 9
- Cognitive Neuroscience 37
Countries citing papers authored by Sunil Goodwani
This map shows the geographic impact of Sunil Goodwani'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 Sunil Goodwani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunil Goodwani more than expected).
Fields of papers citing papers by Sunil Goodwani
This network shows the impact of papers produced by Sunil Goodwani. 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 Sunil Goodwani. The network helps show where Sunil Goodwani may publish in the future.
Co-authors
The 25 scholars most cited alongside Sunil Goodwani, 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 | 2017 | 67 | |
| 2 | 2018 | 60 | |
| 3 | 2015 | 55 | |
| 4 | 2015 | 43 | |
| 5 | 2015 | 42 | |
| 6 | 2021 | 18 | |
| 7 | 2020 | 12 | |
| 8 | 2023 | 1 | |
| 9 | Amoxicillin and Augmentin Reduce Ethanol Intake and Increase GLT1 Expression as well as AKT Phosphorylation in Mesocorticolimbic Regions | 2014 | 0 |
About Sunil Goodwani
Sunil Goodwani is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Pharmacology, Pulmonary and Respiratory Medicine and Cognitive Neuroscience, having authored 9 papers that have together received 298 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (4 papers), Neurotransmitter Receptor Influence on Behavior (4 papers), Receptor Mechanisms and Signaling (3 papers), FOXO transcription factor regulation (1 paper), Inflammation biomarkers and pathways (1 paper), Cholinesterase and Neurodegenerative Diseases (1 paper), Diet, Metabolism, and Disease (1 paper) and Cancer-related cognitive impairment studies (1 paper). The work is most often cited by research in Biological Psychiatry (28 citations), Cellular and Molecular Neuroscience (189 citations), Neurology (33 citations), Developmental Neuroscience (9 citations) and Cognitive Neuroscience (37 citations). Sunil Goodwani has collaborated with scholars based in United States. Frequent co-authors include Youssef Sari, Fawaz Alasmari, Shantanu Rao, Hannah C. Saternos, Richard L. Bell, Robert E. McCullumsmith, Sai H. S. Boddu, Virginie Buggia-Prévot, Yongying Jiang and William J. Ray. Their work appears in journals such as Neuroscience, Pain, Alzheimer s & Dementia, Neuroscience & Biobehavioral Reviews and Brain Research.
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.