Jeffrey Meier
Impact in
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
- Liver Disease and Transplantation
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- Cancer-related molecular mechanisms research
Papers in
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- Radiomics and Machine Learning in Medical Imaging 3
- Radiology practices and education 3
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- Hepatocellular Carcinoma Treatment and Prognosis 3
- Liver Disease and Transplantation 2
- Co-authors
- Sajal Pokharel (5 shared papers)Suresh Maximin (2 shared papers)Puneet Bhargava (1 shared paper)Abass Alavi (2 shared papers)Miguel Hernandez‐Pampaloni (2 shared papers)Andrew Mong (2 shared papers)Mohamed Houseni (2 shared papers)Drew A. Torigian (2 shared papers)
- Journals
- Abdominal Radiology (4 papers)Seminars in Nuclear Medicine (2 papers)Diabetes Technology & Therapeutics (1 paper)Optical Engineering (1 paper)Journal of the American College of Radiology (1 paper)
- Partner nations
- United StatesFranceNorway
In The Last Decade
Jeffrey Meier
13 papers receiving 369 citations
Peers
Comparison fields: 5 of 75
- Hepatology 97
- Cancer Research 89
- Radiology, Nuclear Medicine and Imaging 74
- Oncology 80
- Epidemiology 77
Countries citing papers authored by Jeffrey Meier
This map shows the geographic impact of Jeffrey Meier'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 Jeffrey Meier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey Meier more than expected).
Fields of papers citing papers by Jeffrey Meier
This network shows the impact of papers produced by Jeffrey Meier. 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 Jeffrey Meier. The network helps show where Jeffrey Meier may publish in the future.
Co-authors
The 25 scholars most cited alongside Jeffrey Meier, 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 | 181 | |
| 2 | 2007 | 77 | |
| 3 | 2019 | 22 | |
| 4 | 2017 | 22 | |
| 5 | 2016 | 21 | |
| 6 | 2007 | 19 | |
| 7 | 2014 | 11 | |
| 8 | 2017 | 7 | |
| 9 | 2015 | 7 | |
| 10 | 2018 | 4 | |
| 11 | 2012 | 2 | |
| 12 | 2017 | 1 | |
| 13 | 2024 | 1 |
About Jeffrey Meier
Jeffrey Meier is a scholar working on Radiology, Nuclear Medicine and Imaging, Hepatology, Oncology, Epidemiology and Surgery, having authored 13 papers that have together received 375 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Pancreatic and Hepatic Oncology Research (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Radiology practices and education (3 papers), Hepatitis B Virus Studies (2 papers), Thyroid Cancer Diagnosis and Treatment (2 papers) and Liver Disease and Transplantation (2 papers). The work is most often cited by research in Hepatology (97 citations), Cancer Research (89 citations), Radiology, Nuclear Medicine and Imaging (74 citations), Oncology (80 citations) and Epidemiology (77 citations). Jeffrey Meier has collaborated with scholars based in United States, France and Norway. Frequent co-authors include Sajal Pokharel, Suresh Maximin, Puneet Bhargava, Abass Alavi, Miguel Hernandez‐Pampaloni, Andrew Mong, Mohamed Houseni, Drew A. Torigian, Rex A. Parker and Atif Zaheer. Their work appears in journals such as Abdominal Radiology, Seminars in Nuclear Medicine, Diabetes Technology & Therapeutics, Optical Engineering and Journal of the American College of Radiology.
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.