J. Shepherd

775 citations
16 papers · 654 · h-index 11

Impact in

Papers in

J. Shepherd

16 papers receiving 570 citations

Peers

J. Shepherd
Comparison fields: 5 of 75
  • Radiology, Nuclear Medicine and Imaging 437
  • Reproductive Medicine 91
  • Oncology 154
  • Immunology 123
  • Pathology and Forensic Medicine 63
Replace J. M. G. Bonfrer with:
J. M. G. Bonfrer Netherlands
Riccardo Mione Italy
James H. Doroshow United States
Radka Bettelheim United Kingdom
Rafael Molina Spain
Antonette E. Leon Italy
Chu Tm United States
Peter Curt Ungaro United States
U. Stevens United Kingdom
Rebecca S Patenia United States
J. Shepherd relative to J. M. G. Bonfrer Netherlands J. M. G. Bonfrer's profile →
Citations per field
00.5×2×3.2×
J. M. G. Bonfrer · 1×
Citations per year

Countries citing papers authored by J. Shepherd

Since Specialization
Citations

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

Fields of papers citing papers by J. Shepherd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 1982346
2
Ovarian cancer: diagnosis using 123I monoclonal antibody in comparison with surgical findings.
198463
3 198454
4 198838
5 198930
6 199025
7 199225
8 199519
9 200818
10 197512
11
Phenotypic expression in spontaneously transformed cultured rat liver epithelial cells.
199012
12 20134
13 19863
14 19882
15 20242
16 20041

About J. Shepherd

J. Shepherd is a scholar working on Reproductive Medicine, Radiology, Nuclear Medicine and Imaging, Biotechnology, Pulmonary and Respiratory Medicine and Oncology, having authored 16 papers that have together received 654 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Medical Imaging and Pathology Studies (3 papers), Cancer Research and Treatments (2 papers), Radiopharmaceutical Chemistry and Applications (2 papers), Intraperitoneal and Appendiceal Malignancies (2 papers), Glycosylation and Glycoproteins Research (1 paper) and Medical Imaging Techniques and Applications (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (437 citations), Reproductive Medicine (91 citations), Oncology (154 citations), Immunology (123 citations) and Pathology and Forensic Medicine (63 citations). J. Shepherd has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include K. E. Britton, M. Granowska, S. J. Mather, C.C. Nimmon, Joyce Taylor‐Papadimitriou, A. A. Epenetos, Helga Durbin, James S. Malpas, Walter Fred Bodmer and B Ward. Their work appears in journals such as British Journal of Cancer, The Lancet, The International Journal of Biological Markers, International Journal of Gynecological Cancer and BJOG An International Journal of Obstetrics & Gynaecology.

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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