Daniel B. Kopans

14.5k citations
211 papers · 8.9k indexed · 1 hit paper · h-index 51

Impact in

Papers in

Daniel B. Kopans

205 papers receiving 8.5k citations

Hit Papers

Breast Cancer Screening With Imaging: Recommendations From the Society of Breast Imaging and the ACR on the Use of Mammography, Breast MRI, Breast Ultrasound, and Other Technologies for the Detection of Clinically Occult Breast Cancer 2010 · 590 citations
5902010202620152020100200300400500

Peers

Daniel B. Kopans
Comparison fields: 5 of 164
  • Radiology, Nuclear Medicine and Imaging 4.5k
  • Cancer Research 1.7k
  • Oncology 2.9k
  • Pathology and Forensic Medicine 1.7k
  • Pulmonary and Respiratory Medicine 2.7k
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Citations per field
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Citations per year

Countries citing papers authored by Daniel B. Kopans

Since Specialization
Citations

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

Fields of papers citing papers by Daniel B. Kopans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel B. Kopans. 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 Daniel B. Kopans. The network helps show where Daniel B. Kopans may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20176
3 201111
4 200864
5 2008120
6 200853
7 200740
8 200669
9 2005123
10 2005126
11 200418
12 20043
13 200360
14 200127
15 200032
16 199992
17 199936
18 199667
19 199318
20 198839

About Daniel B. Kopans

Daniel B. Kopans is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Cancer Research, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 211 papers that have together received 8.9k indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (93 papers), Colorectal Cancer Screening and Detection (50 papers), Digital Radiography and Breast Imaging (47 papers), AI in cancer detection (39 papers), Breast Cancer Treatment Studies (37 papers), Breast Lesions and Carcinomas (36 papers), Medical Imaging Techniques and Applications (34 papers) and Cancer Risks and Factors (27 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (4.5k citations), Cancer Research (1.7k citations), Oncology (2.9k citations), Pathology and Forensic Medicine (1.7k citations) and Pulmonary and Respiratory Medicine (2.7k citations). Daniel B. Kopans has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Richard H. Moore, Elkan F. Halpern, Stephen A. Feig, Elizabeth A. Rafferty, Eren D. Yeh, Carl J. D’Orsi, Priscilla J. Slanetz, Edward A. Sickles, James Michaelson and Jack E. Meyer. Their work appears in journals such as Radiology, American Journal of Roentgenology, Cancer, Medical Physics and The Breast Journal.

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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