Benjamin S. Simpson

1.1k citations
32 papers · 443 · h-index 11

Impact in

Papers in

Benjamin S. Simpson

29 papers receiving 439 citations

Peers

Benjamin S. Simpson
Comparison fields: 5 of 73
  • Neurology 157
  • Cellular and Molecular Neuroscience 110
  • Radiology, Nuclear Medicine and Imaging 102
  • Pathology and Forensic Medicine 71
  • Cancer Research 55
Replace J.-M. Brucher with:
J.-M. Brucher Belgium
Wolf Müller Germany
Aleš Dudešek Germany
Anshika Bajaj United States
Rosaria Leante Italy
J Henry United States
Francine J. Vriesendorp United States
Hideo Shigematsu Japan
Sylvia Gong Australia
John H. Neal United States
Benjamin S. Simpson relative to J.-M. Brucher Belgium J.-M. Brucher's profile →
Citations per field
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J.-M. Brucher · 1×
Citations per year

Countries citing papers authored by Benjamin S. Simpson

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin S. Simpson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009109
2 202070
3 201145
4 201936
5 202025
6 202024
7 202020
8 201115
9 202013
10 202213
11 202110
12 20208
13 20208
14 20237
15 20216
16 20206
17 20215
18 20224
19 20243
20 20103

About Benjamin S. Simpson

Benjamin S. Simpson is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Oncology and Rheumatology, having authored 32 papers that have together received 443 indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (12 papers), Prostate Cancer Diagnosis and Treatment (10 papers), Urologic and reproductive health conditions (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Cancer Mechanisms and Therapy (3 papers), Hereditary Neurological Disorders (2 papers), Cancer, Lipids, and Metabolism (2 papers) and Molecular Biology Techniques and Applications (2 papers). The work is most often cited by research in Neurology (157 citations), Cellular and Molecular Neuroscience (110 citations), Radiology, Nuclear Medicine and Imaging (102 citations), Pathology and Forensic Medicine (71 citations) and Cancer Research (55 citations). Benjamin S. Simpson has collaborated with scholars based in United Kingdom, United States and Ireland. Frequent co-authors include Hayley C. Whitaker, Yusuf A. Rajabally, John Bankart, Jayaprakash Gosalakkal, Susan Heavey, Kathy Gately, Vinod Metta, Anil Ramlackhansingh, Nicola Pavese and К. Ray Chaudhuri. Their work appears in journals such as BMJ Open, Cancers, Communications Biology, Cancer Research and Parkinsonism & Related Disorders.

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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