Jacob Thomas
Impact in
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- Neuropeptides and Animal Physiology 4
- Neuroscience and Neural Engineering 1
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- Pharmacological Receptor Mechanisms and Effects 2
- Receptor Mechanisms and Signaling 1
- Co-authors
- Mark R. Hutchinson (5 shared papers)Andrew A. Somogyi (2 shared papers)Linda R. Watkins (1 shared paper)Kui Cheng (1 shared paper)Xiaohui Wang (1 shared paper)Armando J. de Jesus (1 shared paper)Khara M. Ramos (1 shared paper)Hang Yin (1 shared paper)
- Journals
- Nature Communications (1 paper)Proceedings of the National Academy of Sciences (1 paper)Brain Behavior and Immunity (1 paper)Handbook of experimental pharmacology (1 paper)Expert Review of Neurotherapeutics (1 paper)
- Partner nations
- AustraliaUnited States
In The Last Decade
Jacob Thomas
6 papers receiving 469 citations
Peers
Comparison fields: 5 of 70
- Biological Psychiatry 66
- Neurology 107
- Cellular and Molecular Neuroscience 204
- Behavioral Neuroscience 31
- Physiology 138
Countries citing papers authored by Jacob Thomas
This map shows the geographic impact of Jacob Thomas'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 Jacob Thomas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacob Thomas more than expected).
Fields of papers citing papers by Jacob Thomas
This network shows the impact of papers produced by Jacob Thomas. 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 Jacob Thomas. The network helps show where Jacob Thomas may publish in the future.
Co-authors
The 22 scholars most cited alongside Jacob Thomas, 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 | 2012 | 394 | |
| 2 | 2020 | 27 | |
| 3 | 2022 | 17 | |
| 4 | 2015 | 17 | |
| 5 | 2012 | 13 | |
| 6 | 1970 | 4 |
About Jacob Thomas
Jacob Thomas is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Physiology, Psychiatry and Mental health and Immunology, having authored 6 papers that have together received 472 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (4 papers), Pharmacological Receptor Mechanisms and Effects (2 papers), Pain Mechanisms and Treatments (2 papers), Cancer, Stress, Anesthesia, and Immune Response (2 papers), Neuroscience and Neural Engineering (1 paper), Receptor Mechanisms and Signaling (1 paper), 3D Printing in Biomedical Research (1 paper) and Immune Response and Inflammation (1 paper). The work is most often cited by research in Biological Psychiatry (66 citations), Neurology (107 citations), Cellular and Molecular Neuroscience (204 citations), Behavioral Neuroscience (31 citations) and Physiology (138 citations). Jacob Thomas has collaborated with scholars based in Australia and United States. Frequent co-authors include Mark R. Hutchinson, Andrew A. Somogyi, Linda R. Watkins, Kui Cheng, Xiaohui Wang, Armando J. de Jesus, Khara M. Ramos, Hang Yin, Lisa C. Loram and Sanam Mustafa. Their work appears in journals such as Nature Communications, Proceedings of the National Academy of Sciences, Brain Behavior and Immunity, Handbook of experimental pharmacology and Expert Review of Neurotherapeutics.
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.