Marilyn M. Bui
- Health Informatics top 0.5%
- Cancer Research top 1%
- Cancer Genomics and Diagnostics 11
- Oncology top 1%
- Vascular Tumors and Angiosarcomas 13
- Biophysics top 0.5%
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- Radiomics and Machine Learning in Medical Imaging 16
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- Sarcoma Diagnosis and Treatment 70
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- AI in cancer detection 23
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- Bone Tumor Diagnosis and Treatments 21
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- Oral and Maxillofacial Pathology 14
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- Tumors and Oncological Cases 11
- Co-authors
- Robert J. GilliesMark C. LloydRoohi Ismail‐KhanAnil V. ParwaniShahla MasoodRobert A. GatenbyMark D. ZarellaFamke Aeffner
- Journals
- Archives of Pathology & Laboratory Medicine (12 papers)Cancer Control (12 papers)Cancer Research (10 papers)
- Partner nations
- United StatesChinaNetherlands
In The Last Decade
Marilyn M. Bui
182 papers receiving 5.9k citations
Peers
Comparison fields: 5 of 162
- Health Informatics 220
- Cancer Research 1.2k
- Oncology 2.0k
- Biophysics 339
- Radiology, Nuclear Medicine and Imaging 1.3k
Countries citing papers authored by Marilyn M. Bui
This map shows the geographic impact of Marilyn M. Bui'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 Marilyn M. Bui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marilyn M. Bui more than expected).
Fields of papers citing papers by Marilyn M. Bui
This network shows the impact of papers produced by Marilyn M. Bui. 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 Marilyn M. Bui. The network helps show where Marilyn M. Bui may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marilyn M. Bui, 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 | 5 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 13 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 56 | |
| 7 | 2023 | 33 | |
| 8 | 2023 | 27 | |
| 9 | 2023 | 4 | |
| 10 | 2022 | 38 | |
| 11 | 2022 | 3 | |
| 12 | 2020 | 13 | |
| 13 | 2019 | 66 | |
| 14 | 2019 | 65 | |
| 15 | 2018 | 59 | |
| 16 | 2017 | 89 | |
| 17 | 2011 | 69 | |
| 18 | 2010 | 45 | |
| 19 | 2010 | 192 | |
| 20 | Fluorescence in situ hybridization (FISH) for detection of HER-2/neu amplification in breast cancer: a multicenter portability study. | 2000 | 52 |
About Marilyn M. Bui
Marilyn M. Bui is a scholar working on Health Informatics, Oncology and Pulmonary and Respiratory Medicine, having authored 192 papers that have together received 6.1k indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (70 papers), AI in cancer detection (23 papers), Bone Tumor Diagnosis and Treatments (21 papers), Radiomics and Machine Learning in Medical Imaging (16 papers), Oral and Maxillofacial Pathology (14 papers), Vascular Tumors and Angiosarcomas (13 papers), Cancer Genomics and Diagnostics (11 papers) and Tumors and Oncological Cases (11 papers). The work is most often cited by research in Health Informatics (220 citations), Cancer Research (1.2k citations) and Oncology (2.0k citations). Marilyn M. Bui has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Robert J. Gillies, Mark C. Lloyd, Roohi Ismail‐Khan, Anil V. Parwani, Shahla Masood, Robert A. Gatenby, Mark D. Zarella, Famke Aeffner, Damon R. Reed and Liron Pantanowitz. Their work appears in journals such as Archives of Pathology & Laboratory Medicine, Cancer Control, Cancer Research, Journal of Pathology Informatics and Diagnostic Cytopathology.
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.