Berta M. Geller

10.0k citations
143 papers · 7.6k indexed · 2 hit papers · h-index 45

Berta M. Geller

143 papers receiving 7.3k citations

Hit Papers

Diagnostic Concordance Among Pathologists...4402003202620102018250500750

Peers

Berta M. Geller
Comparison fields: 5 of 150
  • Oncology 4.3k
  • Cancer Research 1.4k
  • Artificial Intelligence 2.5k
  • Radiology, Nuclear Medicine and Imaging 1.8k
  • Pulmonary and Respiratory Medicine 2.0k
Replace Stephen H. Taplin with:
Stephen H. Taplin United States
Bonnie C. Yankaskas United States
Brian L. Sprague United States
Diana S.M. Buist United States
Emily F. Conant United States
Elizabeth S. Burnside United States
Linn Abraham United States
Gina Lockwood Canada
Laura J. Esserman United States
Robert W. Carlson United States
Berta M. Geller relative to Stephen H. Taplin United States Stephen H. Taplin's profile →
Citations per field
00.5×1.5×1.8×
Stephen H. Taplin · 1×
Citations per year

Countries citing papers authored by Berta M. Geller

Since Specialization
Citations

This map shows the geographic impact of Berta M. Geller'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 Berta M. Geller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Berta M. Geller more than expected).

Fields of papers citing papers by Berta M. Geller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Berta M. Geller. 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 Berta M. Geller. The network helps show where Berta M. Geller may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Berta M. Geller, 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 Berta M. Geller Line = papers co-authored together Berta M. Geller links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20207
2 201813
3 201415
4 201219
5 201239
6 201020
7 20108
8 20106
9 200944
10 2009194
11 200559
12 2005161
13 20059
14 200412
15 200482
16 200284
17 200084
18 19996
19 19998
20 1994157

About Berta M. Geller

Berta M. Geller is a scholar working on Oncology, Cancer Research, Pathology and Forensic Medicine, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, having authored 143 papers that have together received 7.6k indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (101 papers), AI in cancer detection (44 papers), Breast Cancer Treatment Studies (35 papers), Colorectal Cancer Screening and Detection (30 papers), Breast Lesions and Carcinomas (28 papers), Digital Radiography and Breast Imaging (27 papers), Radiology practices and education (19 papers) and Cancer Risks and Factors (17 papers). The work is most often cited by research in Oncology (4.3k citations), Cancer Research (1.4k citations), Artificial Intelligence (2.5k citations), Radiology, Nuclear Medicine and Imaging (1.8k citations) and Pulmonary and Respiratory Medicine (2.0k citations). Berta M. Geller has collaborated with scholars based in United States, United Kingdom and Norway. Frequent co-authors include Patricia A. Carney, Karla Kerlikowske, Bonnie C. Yankaskas, Robert Rosenberg, Diana L. Miglioretti, Rachel Ballard‐Barbash, Pamela M. Vacek, William E. Barlow, Linn Abraham and Joann G. Elmore. Their work appears in journals such as Radiology, American Journal of Roentgenology, Academic Radiology, JNCI Journal of the National Cancer Institute and Breast Cancer Research and Treatment.

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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