Jordan Sim
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Tryptophan and brain disorders
Papers in
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- COVID-19 diagnosis using AI 5
- Radiomics and Machine Learning in Medical Imaging 1
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- Treatment of Major Depression 3
- Co-authors
- Kang Sim (3 shared papers)Ross J. Baldessarini (3 shared papers)Min Yi Sum (3 shared papers)Cher Heng Tan (7 shared papers)Alix Denoncourt (1 shared paper)Erin E. Mulvihill (1 shared paper)Ri Youn Kim (1 shared paper)Michael Downey (1 shared paper)
- Journals
- The International Journal of Neuropsychopharmacology (2 papers)World Journal of Clinical Oncology (1 paper)Molecular Metabolism (1 paper)Journal of Clinical Psychopharmacology (1 paper)BMJ Open (1 paper)
- Partner nations
- SingaporeCanadaUnited States
In The Last Decade
Jordan Sim
17 papers receiving 482 citations
Peers
Comparison fields: 5 of 92
- Health Informatics 34
- Biological Psychiatry 28
- Pharmacology 72
- Behavioral Neuroscience 12
- Radiology, Nuclear Medicine and Imaging 68
Countries citing papers authored by Jordan Sim
This map shows the geographic impact of Jordan Sim'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 Jordan Sim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jordan Sim more than expected).
Fields of papers citing papers by Jordan Sim
This network shows the impact of papers produced by Jordan Sim. 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 Jordan Sim. The network helps show where Jordan Sim may publish in the future.
Co-authors
The 25 scholars most cited alongside Jordan Sim, 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 | 2015 | 159 | |
| 2 | 2022 | 67 | |
| 3 | 2021 | 51 | |
| 4 | 2014 | 40 | |
| 5 | 2021 | 30 | |
| 6 | 2018 | 28 | |
| 7 | 2022 | 20 | |
| 8 | 2017 | 20 | |
| 9 | 2017 | 17 | |
| 10 | 2016 | 16 | |
| 11 | 2023 | 14 | |
| 12 | 2022 | 8 | |
| 13 | 2015 | 5 | |
| 14 | 2022 | 4 | |
| 15 | 2023 | 3 | |
| 16 | 2023 | 3 | |
| 17 | 2021 | 3 | |
| 18 | 2026 | 0 |
About Jordan Sim
Jordan Sim is a scholar working on Radiology, Nuclear Medicine and Imaging, Pharmacology, Pulmonary and Respiratory Medicine, Health Informatics and Epidemiology, having authored 18 papers that have together received 488 indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (5 papers), Artificial Intelligence in Healthcare and Education (4 papers), Treatment of Major Depression (3 papers), Pneumonia and Respiratory Infections (2 papers), Lung Cancer Diagnosis and Treatment (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Hepatocellular Carcinoma Treatment and Prognosis (1 paper) and Prostate Cancer Treatment and Research (1 paper). The work is most often cited by research in Health Informatics (34 citations), Biological Psychiatry (28 citations), Pharmacology (72 citations), Behavioral Neuroscience (12 citations) and Radiology, Nuclear Medicine and Imaging (68 citations). Jordan Sim has collaborated with scholars based in Singapore, Canada and United States. Frequent co-authors include Kang Sim, Ross J. Baldessarini, Min Yi Sum, Cher Heng Tan, Alix Denoncourt, Erin E. Mulvihill, Ri Youn Kim, Michael Downey, Kyoung-Han Kim and Xiaoling Zhao. Their work appears in journals such as The International Journal of Neuropsychopharmacology, World Journal of Clinical Oncology, Molecular Metabolism, Journal of Clinical Psychopharmacology and BMJ Open.
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.