Linn Abraham
- Oncology top 1%
- Global Cancer Incidence and Screening 47
- Colorectal Cancer Screening and Detection 12
- Cancer Risks and Factors 11
- Health Informatics top 2%
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- Radiology practices and education 7
- Artificial Intelligence top 1%
- AI in cancer detection 19
- Cancer Research top 5%
- Breast Cancer Treatment Studies 13
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- Digital Radiography and Breast Imaging 13
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- Breast Lesions and Carcinomas 11
- Co-authors
- Patricia A. CarneyKarla KerlikowskeDiana L. MigliorettiWilliam E. BarlowBerta M. GellerGary CutterJoann G. ElmoreBonnie C. Yankaskas
- Journals
- Radiology (7 papers)JNCI Journal of the National Cancer Institute (6 papers)American Journal of Roentgenology (6 papers)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Linn Abraham
56 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Oncology 1.8k
- Health Informatics 83
- Radiology, Nuclear Medicine and Imaging 1.1k
- Artificial Intelligence 1.3k
- Cancer Research 569
Countries citing papers authored by Linn Abraham
This map shows the geographic impact of Linn Abraham'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 Linn Abraham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linn Abraham more than expected).
Fields of papers citing papers by Linn Abraham
This network shows the impact of papers produced by Linn Abraham. 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 Linn Abraham. The network helps show where Linn Abraham may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Linn Abraham, 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 | 2024 | 11 | |
| 2 | 2023 | 4 | |
| 3 | 2023 | 18 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 6 | |
| 6 | 2023 | 5 | |
| 7 | 2022 | 13 | |
| 8 | 2022 | 4 | |
| 9 | 2021 | 5 | |
| 10 | 2021 | 3 | |
| 11 | 2020 | 5 | |
| 12 | 2018 | 27 | |
| 13 | 2010 | 6 | |
| 14 | 2010 | 15 | |
| 15 | 2009 | 194 | |
| 16 | 2007 | 419 | |
| 17 | 2007 | 81 | |
| 18 | 2005 | 31 | |
| 19 | 2005 | 64 | |
| 20 | 2004 | 117 |
About Linn Abraham
Linn Abraham is a scholar working on Oncology, Cancer Research, Pathology and Forensic Medicine, Artificial Intelligence and Pharmacy, having authored 57 papers that have together received 4.1k indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (47 papers), AI in cancer detection (19 papers), Breast Cancer Treatment Studies (13 papers), Digital Radiography and Breast Imaging (13 papers), Colorectal Cancer Screening and Detection (12 papers), Cancer Risks and Factors (11 papers), Breast Lesions and Carcinomas (11 papers) and Radiology practices and education (7 papers). The work is most often cited by research in Oncology (1.8k citations), Health Informatics (83 citations), Radiology, Nuclear Medicine and Imaging (1.1k citations), Artificial Intelligence (1.3k citations) and Cancer Research (569 citations). Linn Abraham has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Patricia A. Carney, Karla Kerlikowske, Diana L. Miglioretti, William E. Barlow, Berta M. Geller, Gary Cutter, Joann G. Elmore, Bonnie C. Yankaskas, Robert Rosenberg and Edward A. Sickles. Their work appears in journals such as Radiology, JNCI Journal of the National Cancer Institute, American Journal of Roentgenology, Breast Cancer Research and Treatment and Annals of Internal Medicine.
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.