Edward Pan
Impact in
- Genetics top 0.5%
- Glioma Diagnosis and Treatment
-
- Advanced MRI Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
Papers in
- Genetics 40
- Glioma Diagnosis and Treatment 40
-
- Advanced MRI Techniques and Applications 10
- Co-authors
- Bruce Mickey (11 shared papers)Kimmo J. Hatanpaa (9 shared papers)Michael D. Prados (5 shared papers)Elizabeth Anne Maher (10 shared papers)Ivan V. Smirnov (2 shared papers)Anjan Misra (2 shared papers)Burt G. Feuerstein (2 shared papers)Robert M. Bachoo (4 shared papers)
- Journals
- Magnetic Resonance in Medicine (6 papers)Journal of Neuro-Oncology (6 papers)Anticancer Research (5 papers)Neuro-Oncology (4 papers)Clinical Cancer Research (3 papers)
- Partner nations
- United StatesJapanChina
In The Last Decade
Edward Pan
69 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 88
- Genetics 1.4k
- Radiology, Nuclear Medicine and Imaging 386
- Oncology 204
- Internal Medicine 27
- Neurology 62
Countries citing papers authored by Edward Pan
This map shows the geographic impact of Edward Pan'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 Edward Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edward Pan more than expected).
Fields of papers citing papers by Edward Pan
This network shows the impact of papers produced by Edward Pan. 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 Edward Pan. The network helps show where Edward Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Edward Pan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 274 | |
| 2 | 2019 | 228 | |
| 3 | 2014 | 170 | |
| 4 | 2016 | 166 | |
| 5 | 2011 | 111 | |
| 6 | 2017 | 100 | |
| 7 | 2000 | 91 | |
| 8 | 2021 | 89 | |
| 9 | 2017 | 78 | |
| 10 | 2005 | 76 | |
| 11 | 2012 | 72 | |
| 12 | 2018 | 71 | |
| 13 | 2019 | 67 | |
| 14 | Glioblastoma Multiforme and Anaplastic Astrocytoma | 2003 | 64 |
| 15 | 2011 | 64 | |
| 16 | 2008 | 47 | |
| 17 | 2013 | 47 | |
| 18 | 2020 | 47 | |
| 19 | 2020 | 46 | |
| 20 | 2016 | 43 |
About Edward Pan
Edward Pan is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging, Neurology, Pulmonary and Respiratory Medicine and Oncology, having authored 70 papers that have together received 2.6k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (40 papers), Advanced MRI Techniques and Applications (10 papers), Brain Metastases and Treatment (5 papers), CNS Lymphoma Diagnosis and Treatment (4 papers), Sarcoma Diagnosis and Treatment (3 papers), Lung Cancer Treatments and Mutations (2 papers), Meningioma and schwannoma management (2 papers) and Pituitary Gland Disorders and Treatments (2 papers). The work is most often cited by research in Genetics (1.4k citations), Radiology, Nuclear Medicine and Imaging (386 citations), Oncology (204 citations), Internal Medicine (27 citations) and Neurology (62 citations). Edward Pan has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Bruce Mickey, Kimmo J. Hatanpaa, Michael D. Prados, Elizabeth Anne Maher, Ivan V. Smirnov, Anjan Misra, Burt G. Feuerstein, Robert M. Bachoo, Steven S. Brem and Kenneth Aldape. Their work appears in journals such as Magnetic Resonance in Medicine, Journal of Neuro-Oncology, Anticancer Research, Neuro-Oncology and Clinical Cancer Research.
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.