Benjamin Shepherd

414 citations
14 papers · 311 · h-index 7

Impact in

Papers in

Benjamin Shepherd

12 papers receiving 307 citations

Peers

Benjamin Shepherd
Comparison fields: 5 of 39
  • Pulmonary and Respiratory Medicine 197
  • Radiology, Nuclear Medicine and Imaging 78
  • Oncology 59
  • Rheumatology 22
  • Cancer Research 17
Replace Durgesh K. Dwivedi with:
Durgesh K. Dwivedi India
Burçak Yılmaz Türkiye
Natalie Rutherford Australia
Neo P. Mokgoro South Africa
Silke Haim Austria
Richard Savdie Australia
Honest Ndlovu South Africa
Vijaya A. Bhadkamkar United States
Fabian Spohn Germany
Karim Saba Switzerland
Benjamin Shepherd relative to Durgesh K. Dwivedi India Durgesh K. Dwivedi's profile →
Citations per field
00.5×2.8×
Durgesh K. Dwivedi · 1×
Citations per year

Countries citing papers authored by Benjamin Shepherd

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Shepherd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2016110
2 2016106
3 201335
4 202121
5 201618
6 20187
7 20196
8
Histopathological features after topical black salve application
20152
9
Prostate specific membrane antigen positron emission tomography may improve the diagnostic accuracy of multiparametric magnetic resonance imaging in localized prostate cancer
20162
10 20162
11 20191
12 20171
13 20160
14 20190

About Benjamin Shepherd

Benjamin Shepherd is a scholar working on Pulmonary and Respiratory Medicine, Rheumatology, Surgery, Molecular Biology and Oncology, having authored 14 papers that have together received 311 indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (4 papers), Urologic and reproductive health conditions (4 papers), Prostate Cancer Diagnosis and Treatment (3 papers), Sarcoma Diagnosis and Treatment (1 paper), Testicular diseases and treatments (1 paper), Cardiovascular Effects of Exercise (1 paper), Radiomics and Machine Learning in Medical Imaging (1 paper) and Cutaneous Melanoma Detection and Management (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (197 citations), Radiology, Nuclear Medicine and Imaging (78 citations), Oncology (59 citations), Rheumatology (22 citations) and Cancer Research (17 citations). Benjamin Shepherd has collaborated with scholars based in Australia, United Kingdom and Netherlands. Frequent co-authors include Paul Thomas, Simon Wood, Ian Vela, John Preston, Handoo Rhee, Malcolm Lawson, Keng Lim Ng, Eric Chung, Colleen C. Nelson and Peter Heathcote. Their work appears in journals such as Pathology, The American Surgeon, EJNMMI Research, Frontiers in Endocrinology and The Journal of Urology.

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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