Frederick M. Howard
Impact in
- Health Informatics top 0.2%
- Artificial Intelligence in Healthcare and Education
- Cancer Research top 10%
- Breast Cancer Treatment Studies
- Cancer Genomics and Diagnostics
Papers in
-
- Breast Cancer Treatment Studies 17
- Cancer Genomics and Diagnostics 6
- Oncology 14
- Cancer Immunotherapy and Biomarkers 5
- Co-authors
- Olufunmilayo I. Olopade (13 shared papers)Alexander T. Pearson (22 shared papers)Catherine A. Gao (3 shared papers)Emma Dyer (3 shared papers)Siddhi Ramesh (4 shared papers)Nikolay S. Markov (1 shared paper)Yuan Luo (1 shared paper)Rita Nanda (26 shared papers)
- Journals
- Journal of Clinical Oncology (7 papers)JAMA Network Open (6 papers)Breast Cancer Research and Treatment (4 papers)npj Breast Cancer (3 papers)Cancer Research (3 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Frederick M. Howard
49 papers receiving 1.4k citations
Frederick M. Howard's Hit Papers
Peers
Comparison fields: 5 of 124
- Health Informatics 363
- Cancer Research 215
- Radiology, Nuclear Medicine and Imaging 259
- Oncology 277
- Artificial Intelligence 355
Countries citing papers authored by Frederick M. Howard
This map shows the geographic impact of Frederick M. Howard'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 Frederick M. Howard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frederick M. Howard more than expected).
Fields of papers citing papers by Frederick M. Howard
This network shows the impact of papers produced by Frederick M. Howard. 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 Frederick M. Howard. The network helps show where Frederick M. Howard may publish in the future.
Co-authors
The 25 scholars most cited alongside Frederick M. Howard, 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Comparing scientific abstracts generated by ChatGPT to real abstracts with detectors and blinded human reviewers Hit paper breakdown → | 2023 | 430 |
| 2 | Epidemiology of Triple-Negative Breast Cancer Hit paper breakdown → | 2021 | 208 |
| 3 | 2021 | 163 | |
| 4 | 2020 | 115 | |
| 5 | Clinicopathologic Characteristics and Prognosis of ERBB2-Low Breast Cancer Among Patients in the National Cancer Database Hit paper breakdown → | 2023 | 91 |
| 6 | 2022 | 35 | |
| 7 | 2024 | 35 | |
| 8 | 2023 | 34 | |
| 9 | 2024 | 28 | |
| 10 | 2023 | 26 | |
| 11 | 2021 | 22 | |
| 12 | 2023 | 20 | |
| 13 | 2020 | 20 | |
| 14 | 2023 | 17 | |
| 15 | 2023 | 17 | |
| 16 | 2012 | 16 | |
| 17 | 2024 | 12 | |
| 18 | 2023 | 12 | |
| 19 | 2023 | 9 | |
| 20 | 2020 | 9 |
About Frederick M. Howard
Frederick M. Howard is a scholar working on Cancer Research, Oncology, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Pulmonary and Respiratory Medicine, having authored 57 papers that have together received 1.4k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (17 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), AI in cancer detection (8 papers), Cancer Genomics and Diagnostics (6 papers), Advanced Breast Cancer Therapies (5 papers), Cancer Immunotherapy and Biomarkers (5 papers), Artificial Intelligence in Healthcare and Education (4 papers) and Head and Neck Cancer Studies (3 papers). The work is most often cited by research in Health Informatics (363 citations), Cancer Research (215 citations), Radiology, Nuclear Medicine and Imaging (259 citations), Oncology (277 citations) and Artificial Intelligence (355 citations). Frederick M. Howard has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Olufunmilayo I. Olopade, Alexander T. Pearson, Catherine A. Gao, Emma Dyer, Siddhi Ramesh, Nikolay S. Markov, Yuan Luo, Rita Nanda, Sara Kochanny and Dezheng Huo. Their work appears in journals such as Journal of Clinical Oncology, JAMA Network Open, Breast Cancer Research and Treatment, npj Breast Cancer and 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.