J. Helgeson
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Regulation of Appetite and Obesity
Papers in
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- Radiomics and Machine Learning in Medical Imaging 4
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- Artificial Intelligence in Healthcare and Education 2
- Co-authors
- Jack H. Ladenson (1 shared paper)A S Jaffe (1 shared paper)Víctor G. Dávila‐Román (1 shared paper)Robert C. Hickner (1 shared paper)Michael Landt (1 shared paper)George M. Lawson (1 shared paper)Tufia C. Haddad (6 shared papers)Nilesh Dharajiya (1 shared paper)
- Journals
- Journal of Clinical Oncology (2 papers)Annals of Oncology (2 papers)Metabolism (1 paper)Prenatal Diagnosis (1 paper)Journal of Thoracic Oncology (1 paper)
- Partner nations
- United States
In The Last Decade
J. Helgeson
8 papers receiving 308 citations
Peers
Comparison fields: 5 of 56
- Health Informatics 38
- Endocrine and Autonomic Systems 99
- Pediatrics, Perinatology and Child Health 87
- Physiology 73
- Nutrition and Dietetics 31
Countries citing papers authored by J. Helgeson
This map shows the geographic impact of J. Helgeson'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 J. Helgeson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Helgeson more than expected).
Fields of papers citing papers by J. Helgeson
This network shows the impact of papers produced by J. Helgeson. 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 J. Helgeson. The network helps show where J. Helgeson may publish in the future.
Co-authors
The 25 scholars most cited alongside J. Helgeson, 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 | 1997 | 121 | |
| 2 | 2015 | 102 | |
| 3 | 2021 | 44 | |
| 4 | 2018 | 21 | |
| 5 | 2018 | 16 | |
| 6 | 2019 | 7 | |
| 7 | 2019 | 6 | |
| 8 | 2019 | 4 |
About J. Helgeson
J. Helgeson is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Informatics, Cancer Research, Molecular Biology and Pediatrics, Perinatology and Child Health, having authored 8 papers that have together received 321 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (4 papers), Artificial Intelligence in Healthcare and Education (2 papers), Cancer Genomics and Diagnostics (2 papers), Biomedical Text Mining and Ontologies (1 paper), Prenatal Screening and Diagnostics (1 paper), AI in cancer detection (1 paper), Biochemical Analysis and Sensing Techniques (1 paper) and Adipose Tissue and Metabolism (1 paper). The work is most often cited by research in Health Informatics (38 citations), Endocrine and Autonomic Systems (99 citations), Pediatrics, Perinatology and Child Health (87 citations), Physiology (73 citations) and Nutrition and Dietetics (31 citations). J. Helgeson has collaborated with scholars based in United States. Frequent co-authors include Jack H. Ladenson, A S Jaffe, Víctor G. Dávila‐Román, Robert C. Hickner, Michael Landt, George M. Lawson, Tufia C. Haddad, Nilesh Dharajiya, Matthew P. Goetz and Ron McCullough. Their work appears in journals such as Journal of Clinical Oncology, Annals of Oncology, Metabolism, Prenatal Diagnosis and Journal of Thoracic Oncology.
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.