Eric Hu
Impact in
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- Endometriosis Research and Treatment
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- Neuropeptides and Animal Physiology
Papers in
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- Radiation Dose and Imaging 3
- Radiology practices and education 2
- MRI in cancer diagnosis 2
- Radiomics and Machine Learning in Medical Imaging 2
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- Renal cell carcinoma treatment 3
- Co-authors
- Remo Guerrini (1 shared paper)Girolamo Calò (1 shared paper)Mei‐Chuan Ko (1 shared paper)Thunder Jalili (2 shared papers)E. Dale Abel (2 shared papers)Sheldon E. Litwin (1 shared paper)Sandra Sena (1 shared paper)J. David Symons (1 shared paper)
- Journals
- Abdominal Radiology (3 papers)Urology (1 paper)Pain (1 paper)Radiology (1 paper)Annals of Plastic Surgery (1 paper)
- Partner nations
- United StatesItalyCanada
In The Last Decade
Eric Hu
14 papers receiving 341 citations
Peers
Comparison fields: 5 of 69
- Reproductive Medicine 31
- Cellular and Molecular Neuroscience 61
- Pulmonary and Respiratory Medicine 106
- Physiology 78
- Obstetrics and Gynecology 23
Countries citing papers authored by Eric Hu
This map shows the geographic impact of Eric Hu'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 Eric Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Hu more than expected).
Fields of papers citing papers by Eric Hu
This network shows the impact of papers produced by Eric Hu. 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 Eric Hu. The network helps show where Eric Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Hu, 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 | 2009 | 77 | |
| 2 | 2009 | 66 | |
| 3 | 1999 | 35 | |
| 4 | 2024 | 29 | |
| 5 | 2016 | 29 | |
| 6 | 2006 | 27 | |
| 7 | 2011 | 22 | |
| 8 | 2018 | 18 | |
| 9 | 2018 | 16 | |
| 10 | 2017 | 12 | |
| 11 | 2006 | 8 | |
| 12 | 2014 | 6 | |
| 13 | 2019 | 2 | |
| 14 | 2014 | 1 | |
| 15 | 2025 | 0 |
About Eric Hu
Eric Hu is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Surgery, Molecular Biology and Obstetrics and Gynecology, having authored 15 papers that have together received 348 indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (3 papers), Radiation Dose and Imaging (3 papers), Receptor Mechanisms and Signaling (2 papers), Radiology practices and education (2 papers), MRI in cancer diagnosis (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Reconstructive Surgery and Microvascular Techniques (2 papers) and Metabolism, Diabetes, and Cancer (1 paper). The work is most often cited by research in Reproductive Medicine (31 citations), Cellular and Molecular Neuroscience (61 citations), Pulmonary and Respiratory Medicine (106 citations), Physiology (78 citations) and Obstetrics and Gynecology (23 citations). Eric Hu has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Remo Guerrini, Girolamo Calò, Mei‐Chuan Ko, Thunder Jalili, E. Dale Abel, Sheldon E. Litwin, Sandra Sena, J. David Symons, Matthew S. Davenport and Stuart G. Silverman. Their work appears in journals such as Abdominal Radiology, Urology, Pain, Radiology and Annals of Plastic Surgery.
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.