J. Staffurth

1.8k citations
56 papers · 1.0k · h-index 14

Impact in

Papers in

J. Staffurth

54 papers receiving 917 citations

Peers

J. Staffurth
Comparison fields: 5 of 87
  • Radiation 178
  • Radiology, Nuclear Medicine and Imaging 265
  • Obstetrics and Gynecology 73
  • Endocrinology, Diabetes and Metabolism 148
  • Pulmonary and Respiratory Medicine 273
Replace R Lambert with:
R Lambert France
Michael P. Porter United States
Frederika A. van Nimwegen Netherlands
Ajit Kumar Padhy India
Andrew Feifer Canada
William Pfaff United States
Alan M. Nieder United States
Yuichiro Ueda Japan
Suzanne L. Palmer United States
Guilherme Godoy United States
J. Staffurth relative to R Lambert France R Lambert's profile →
Citations per field
00.5×10×12.8×
R Lambert · 1×
Citations per year

Countries citing papers authored by J. Staffurth

Since Specialization
Citations

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

Fields of papers citing papers by J. Staffurth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012195
2 2014149
3 1977137
4 201162
5 201749
6 195545
7 201137
8 201031
9 196425
10 195123
11 201220
12
The measurement of the extracellular fluid volume with radioactive bromine.
196020
13 196215
14 201614
15 195813
16 196511
17 197311
18 201910
19 198710
20 197310

About J. Staffurth

J. Staffurth is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Radiation, Surgery and Oncology, having authored 56 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (13 papers), Prostate Cancer Diagnosis and Treatment (7 papers), Medical Imaging Techniques and Applications (5 papers), Thyroid Disorders and Treatments (5 papers), Radiation Dose and Imaging (5 papers), Prostate Cancer Treatment and Research (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Advances in Oncology and Radiotherapy (3 papers). The work is most often cited by research in Radiation (178 citations), Radiology, Nuclear Medicine and Imaging (265 citations), Obstetrics and Gynecology (73 citations), Endocrinology, Diabetes and Metabolism (148 citations) and Pulmonary and Respiratory Medicine (273 citations). J. Staffurth has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Anne Cleves, Mark D. Evans, Peter Strang, Sten Nilsson, Patrick Olivier, Charlotte Andersson, Lars Franzén, A Pecking, S. Vasanthan and A. Aksnes. Their work appears in journals such as Clinical Oncology, The Lancet, Radiotherapy and Oncology, Postgraduate Medical Journal and European Journal of Cancer.

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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