Stephen J. Glatt
- Psychiatry and Mental health top 0.5%
- Molecular Biology top 5%
- Genetics top 0.5%
- Cognitive Neuroscience top 1%
- Cellular and Molecular Neuroscience top 1%
- Co-authors
- Stephen V. FaraoneMing T. TsuangDenise JacksonDaniel S. TyleeJessica Lasky‐SuIan EverallHamid M. AbdolmalekyRahim Shafa
- Topics
- Genetic Associations and Epidemiology (47 papers)Genetics and Neurodevelopmental Disorders (24 papers)Attention Deficit Hyperactivity Disorder (21 papers)
- Partner nations
- United StatesJapanAustralia
In The Last Decade
Stephen J. Glatt
153 papers receiving 6.9k citations
Peers
Comparison fields: 5 of 147
- Psychiatry and Mental health 2.4k
- Molecular Biology 2.2k
- Genetics 2.0k
- Cognitive Neuroscience 1.4k
- Cellular and Molecular Neuroscience 1.1k
Countries citing papers authored by Stephen J. Glatt
This map shows the geographic impact of Stephen J. Glatt'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 Stephen J. Glatt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen J. Glatt more than expected).
Fields of papers citing papers by Stephen J. Glatt
This network shows the impact of papers produced by Stephen J. Glatt. 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 Stephen J. Glatt. The network helps show where Stephen J. Glatt may publish in the future.
Co-authorship network of co-authors of Stephen J. Glatt
This figure shows the co-authorship network connecting the top 25 collaborators of Stephen J. Glatt. A scholar is included among the top collaborators of Stephen J. Glatt 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 Stephen J. Glatt. Stephen J. Glatt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 9 | |
| 7 | 50 | |
| 8 | 22 | |
| 9 | 37 | |
| 10 | 12 | |
| 11 | 19 | |
| 12 | 61 | |
| 13 | [Mapping genes related to early onset major depressive disorder in Dagestan genetic isolates]. | 7 |
| 14 | 279 | |
| 15 | 21 | |
| 16 | 346 | |
| 17 | 31 | |
| 18 | 120 | |
| 19 | 173 | |
| 20 | 50 |
About Stephen J. Glatt
Stephen J. Glatt is a scholar working on Biological Psychiatry, Psychiatry and Mental health and Genetics, having authored 156 papers that have together received 7.1k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (47 papers), Genetics and Neurodevelopmental Disorders (24 papers) and Attention Deficit Hyperactivity Disorder (21 papers). The work is most often cited by research in Biological Psychiatry (734 citations), Psychiatry and Mental health (2.4k citations) and Behavioral Neuroscience (465 citations). Stephen J. Glatt has collaborated with scholars based in United States, Japan and Australia. Frequent co-authors include Stephen V. Faraone, Ming T. Tsuang, Denise Jackson, Daniel S. Tylee, Jessica Lasky‐Su, Ian Everall, Hamid M. Abdolmaleky, Rahim Shafa, Carlos A. Bolaños and Cassandra L. Smith. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Psychological Bulletin.
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.