Linn Abraham

56 papers receiving 4.1k citations

Linn Abraham's Hit Papers

Influence of Computer-Aided Detection on Performance of Screening Mammography 2007 · 467 citations
4670+7+15Years since publication250500750

Peers

Linn Abraham
Comparison fields: 5 of 144
  • Health Informatics 76
  • Oncology 1.2k
  • Radiology, Nuclear Medicine and Imaging 835
  • Pulmonary and Respiratory Medicine 842
  • Artificial Intelligence 926
Replace Alicia Y. Toledano with:
Alicia Y. Toledano United States
Erin J. Aiello Bowles United States
Janet K. Baum United States
Amy Y. Chen United States
Harry Burke United States
R. James Brenner United States
Daniel D. Sjoberg United States
Carol C. Wu United States
Maurice Stephan Michel Germany
Shaolin Li China
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Citations per field
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Alicia Y. Toledano · 1×
Citations per year

Countries citing papers authored by Linn Abraham

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Linn Abraham Line = papers co-authored together Linn Abraham links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Individual and Combined Effects of Age, Breast Density, and Hormone Replacement Therapy Use on the Accuracy of Screening Mammography
Hit paper breakdown →
2003924
2
Influence of Computer-Aided Detection on Performance of Screening Mammography
Hit paper breakdown →
2007467
3 2001442
4 2006284
5 2006278
6 2009209
7 2005141
8 2011132
9 2004127
10 2005100
11 200787
12 200482
13 200878
14 201070
15 200566
16 200656
17 201352
18 200349
19 200546
20 201544

About Linn Abraham

Linn Abraham is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Artificial Intelligence and Cancer Research, having authored 59 papers that have together received 4.3k indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (27 papers), Radiology practices and education (5 papers), Breast Cancer Treatment Studies (4 papers), AI in cancer detection (4 papers), Digital Radiography and Breast Imaging (4 papers), Pelvic floor disorders treatments (3 papers), BRCA gene mutations in cancer (2 papers) and Cancer Risks and Factors (2 papers). The work is most often cited by research in Health Informatics (76 citations), Oncology (1.2k citations), Radiology, Nuclear Medicine and Imaging (835 citations), Pulmonary and Respiratory Medicine (842 citations) and Artificial Intelligence (926 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.

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