John Biglands

1.5k citations
53 papers · 1.0k · h-index 18

Impact in

Papers in

John Biglands

49 papers receiving 1.0k citations

Peers

John Biglands
Comparison fields: 5 of 65
  • Radiology, Nuclear Medicine and Imaging 441
  • Cardiology and Cardiovascular Medicine 286
  • Pathology and Forensic Medicine 99
  • Complementary and alternative medicine 31
  • Orthopedics and Sports Medicine 28
Replace Rupert Williams with:
Rupert Williams United Kingdom
Leif‐Hendrik Boldt Germany
Benjamin V. Stone United States
Fatih Yalçın Türkiye
Johannes Schmid Austria
Yean Leng Lim Australia
Yukari Kobayashi United States
Sercan Okutucu Türkiye
Denise Mrosek United States
Erol Tülümen Germany
John Biglands relative to Rupert Williams United Kingdom Rupert Williams's profile →
Citations per field
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Citations per year

Countries citing papers authored by John Biglands

Since Specialization
Citations

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

Fields of papers citing papers by John Biglands

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012157
2 202065
3 201465
4 201454
5 202053
6 201450
7 201343
8 201036
9 201336
10 202036
11 202036
12 201836
13 202030
14 201227
15 201826
16 201126
17 201121
18 202120
19 201417
20 202315

About John Biglands

John Biglands is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Pathology and Forensic Medicine, Epidemiology and Rheumatology, having authored 53 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (23 papers), Advanced MRI Techniques and Applications (13 papers), Cardiovascular Function and Risk Factors (9 papers), Systemic Sclerosis and Related Diseases (8 papers), Medical Imaging Techniques and Applications (5 papers), Inflammatory Myopathies and Dermatomyositis (5 papers), Advanced X-ray and CT Imaging (2 papers) and Atomic and Subatomic Physics Research (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (441 citations), Cardiology and Cardiovascular Medicine (286 citations), Pathology and Forensic Medicine (99 citations), Complementary and alternative medicine (31 citations) and Orthopedics and Sports Medicine (28 citations). John Biglands has collaborated with scholars based in United Kingdom, United States and Poland. Frequent co-authors include Aleksandra Radjenovic, Sven Plein, John P. Greenwood, John P. Ridgway, Ai Lyn Tan, Derek Magee, Paul Emery, Steven Sourbron, Steven F. Tanner and Maya H Buch. Their work appears in journals such as Journal of Cardiovascular Magnetic Resonance, Lara D. Veeken, Magnetic Resonance in Medicine, Radiology and Annals of the Rheumatic Diseases.

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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