Janet E. Husband

7.5k citations
150 papers · 5.4k · h-index 40

Impact in

Papers in

    • Testicular diseases and treatments 23
    • Colorectal and Anal Carcinomas 10
    • Radiomics and Machine Learning in Medical Imaging 29
    • Medical Imaging Techniques and Applications 23
    • MRI in cancer diagnosis 20
    • Advanced MRI Techniques and Applications 11

Janet E. Husband

149 papers receiving 5.2k citations

Peers

Janet E. Husband
Comparison fields: 5 of 104
  • Radiology, Nuclear Medicine and Imaging 1.9k
  • Pulmonary and Respiratory Medicine 1.4k
  • Surgery 1.6k
  • Oncology 871
  • Radiation 287
Replace Homer A. Macapinlac with:
Homer A. Macapinlac United States
Henry Yeung United States
Ur Metser Canada
Malcolm A. Bagshaw United States
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Donald A. Podoloff United States
W.D. Rider Canada
Leonard R. Prosnitz United States
Thomas F. Hany Switzerland
Basil S. Hilaris United States
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Citations per field
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Citations per year

Countries citing papers authored by Janet E. Husband

Since Specialization
Citations

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

Fields of papers citing papers by Janet E. Husband

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 150 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007285
2 2000268
3 1999237
4 2006193
5 2004191
6 1982189
7 2001180
8 1997164
9 2004131
10 2001123
11 1996120
12 1995108
13 1987108
14 2006103
15 2000101
16 200899
17 198982
18 198780
19 199272
20 199571

About Janet E. Husband

Janet E. Husband is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Oncology and Pathology and Forensic Medicine, having authored 150 papers that have together received 5.4k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (29 papers), Testicular diseases and treatments (23 papers), Medical Imaging Techniques and Applications (23 papers), MRI in cancer diagnosis (20 papers), Sarcoma Diagnosis and Treatment (13 papers), Advanced MRI Techniques and Applications (11 papers), Colorectal and Anal Carcinomas (10 papers) and Colorectal Cancer Surgical Treatments (9 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.9k citations), Pulmonary and Respiratory Medicine (1.4k citations), Surgery (1.6k citations), Oncology (871 citations) and Radiation (287 citations). Janet E. Husband has collaborated with scholars based in United Kingdom, United States and Israel. Frequent co-authors include Anwar R. Padhani, Martin O. Leach, Dow‐Mu Koh, John Suckling, A. Norman, Michael Peckham, Gina Brown, A D MacVicar, P. Revell and Geoff J.M. Parker. Their work appears in journals such as Clinical Radiology, British Journal of Radiology, Radiology, Cancer Imaging and Journal of the Royal Society of 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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