Frank H. Miller
- Hepatology top 0.1%
- Hepatocellular Carcinoma Treatment and Prognosis 57
-
- MRI in cancer diagnosis 37
- Radiomics and Machine Learning in Medical Imaging 28
- Epidemiology top 0.5%
- Liver Disease Diagnosis and Treatment 38
- Surgery top 0.5%
- Cholangiocarcinoma and Gallbladder Cancer Studies 28
- Pancreatitis Pathology and Treatment 26
- Oncology top 1%
- Pancreatic and Hepatic Oncology Research 46
-
- Gallbladder and Bile Duct Disorders 25
- Co-authors
- Riad SalemVahid YaghmaiPaul NikolaidisMary F. MulcahyReed A. OmaryRobert J. LewandowskiLaura KulikRobert K. Ryu
- Journals
- Journal of Clinical Oncology (2 papers)SHILAP Revista de lepidopterología (2 papers)Gastroenterology (6 papers)
- Partner nations
- United StatesCanadaPhilippines
In The Last Decade
Frank H. Miller
256 papers receiving 11.8k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Hepatology 5.2k
- Radiology, Nuclear Medicine and Imaging 3.2k
- Epidemiology 3.8k
- Surgery 4.6k
- Oncology 2.7k
Countries citing papers authored by Frank H. Miller
This map shows the geographic impact of Frank H. Miller'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 Frank H. Miller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frank H. Miller more than expected).
Fields of papers citing papers by Frank H. Miller
This network shows the impact of papers produced by Frank H. Miller. 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 Frank H. Miller. The network helps show where Frank H. Miller may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Frank H. Miller, 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 | 2025 | 7 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 5 | |
| 6 | 2024 | 16 | |
| 7 | 2024 | 4 | |
| 8 | 2024 | 2 | |
| 9 | 2023 | 0 | |
| 10 | 2021 | 47 | |
| 11 | 2013 | 55 | |
| 12 | 2013 | 27 | |
| 13 | 2012 | 6 | |
| 14 | 2012 | 76 | |
| 15 | 2011 | 56 | |
| 16 | Left lower-quadrant pain: guidelines from the American College of Radiology appropriateness criteria. | 2010 | 22 |
| 17 | 2010 | 16 | |
| 18 | 2007 | 67 | |
| 19 | 2006 | 26 | |
| 20 | 2005 | 7 |
About Frank H. Miller
Frank H. Miller is a scholar working on Hepatology, Radiology, Nuclear Medicine and Imaging and Surgery, having authored 265 papers that have together received 12.0k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (57 papers), Pancreatic and Hepatic Oncology Research (46 papers), Liver Disease Diagnosis and Treatment (38 papers), MRI in cancer diagnosis (37 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (28 papers), Radiomics and Machine Learning in Medical Imaging (28 papers), Pancreatitis Pathology and Treatment (26 papers) and Gallbladder and Bile Duct Disorders (25 papers). The work is most often cited by research in Hepatology (5.2k citations), Radiology, Nuclear Medicine and Imaging (3.2k citations) and Epidemiology (3.8k citations). Frank H. Miller has collaborated with scholars based in United States, Canada and Philippines. Frequent co-authors include Riad Salem, Vahid Yaghmai, Paul Nikolaidis, Mary F. Mulcahy, Reed A. Omary, Robert J. Lewandowski, Laura Kulik, Robert K. Ryu, Kent T. Sato and Ahsun Riaz. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Gastroenterology.
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.