E Fishell

6.2k citations
29 papers · 4.8k indexed · 3 hit papers · h-index 23

E Fishell

29 papers receiving 4.7k citations

Hit Papers

Mammographic Density and the Risk and Detection of ...1.8k199420262004201550010001.5k

Peers

E Fishell
Comparison fields: 5 of 109
  • Pulmonary and Respiratory Medicine 3.1k
  • Oncology 2.5k
  • Cancer Research 1.2k
  • Artificial Intelligence 2.3k
  • Radiology, Nuclear Medicine and Imaging 1.3k
Replace J W Byng with:
J W Byng Canada
Ruth Warren United Kingdom
L Little Canada
Mauro G. Mastropasqua Italy
Eileen Rakovitch Canada
W. Douglas B. Hiller United States
Despina Kontos United States
Edward Azavedo Sweden
Rachel F. Brem United States
Enrico Cassano Italy
E Fishell relative to J W Byng Canada J W Byng's profile →
Citations per field
00.5×4.1×
J W Byng · 1×
Citations per year

Countries citing papers authored by E Fishell

Since Specialization
Citations

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

Fields of papers citing papers by E Fishell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E Fishell. 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 E Fishell. The network helps show where E Fishell may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200966
2
Mammographic Density and the Risk and Detection of Breast Cancerbreakdown →
20071763
3 2002232
4 200128
5 199974
6 199814
7 199860
8 199625
9 1996135
10 199523
11
The quantitative analysis of mammographic densitiesbreakdown →
1994495
12 1992178
13 199214
14 19906
15 198947
16 19875
17 198241
18 198223
19 1982114
20 198212

About E Fishell

E Fishell is a scholar working on Pathology and Forensic Medicine, Cancer Research, Oncology, Pulmonary and Respiratory Medicine and Artificial Intelligence, having authored 29 papers that have together received 4.8k indexed citations. Recurring topics across this work include Digital Radiography and Breast Imaging (17 papers), AI in cancer detection (14 papers), Global Cancer Incidence and Screening (12 papers), Breast Lesions and Carcinomas (12 papers), Breast Cancer Treatment Studies (9 papers), Cancer Risks and Factors (4 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Medical Imaging Techniques and Applications (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (3.1k citations), Oncology (2.5k citations), Cancer Research (1.2k citations), Artificial Intelligence (2.3k citations) and Radiology, Nuclear Medicine and Imaging (1.3k citations). E Fishell has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Roberta A. Jong, Norman F. Boyd, Martin J. Yaffe, J W Byng, Jennifer Stone, Lisa J. Martin, Salomon Minkin, Limei Sun, Anna M. Chiarelli and Greg Hislop. Their work appears in journals such as British Journal of Cancer, JNCI Journal of the National Cancer Institute, European Journal of Cancer Prevention, Physics in Medicine and Biology and Cancer Epidemiology Biomarkers & Prevention.

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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