Jon Campbell

703 citations
15 papers · 360 · h-index 8

Impact in

Papers in

Jon Campbell

14 papers receiving 352 citations

Peers

Jon Campbell
Comparison fields: 5 of 71
  • Pharmacy 31
  • Pediatrics, Perinatology and Child Health 107
  • Cognitive Neuroscience 99
  • Radiology, Nuclear Medicine and Imaging 110
  • Developmental Neuroscience 14
Replace Willard S. Kasoff with:
Willard S. Kasoff United States
Serafeim Loukas Switzerland
Benita Schmitz‐Koep Germany
Jana Muenssinger Germany
Alicia R. Dymowski Australia
Eric D. Melonakos United States
Yifei Weng China
Michiyo Azechi Japan
Julie Uchitel United States
Huiying Kang China
Jon Campbell relative to Willard S. Kasoff United States Willard S. Kasoff's profile →
Citations per field
00.5×2.8×
Willard S. Kasoff · 1×
Citations per year

Countries citing papers authored by Jon Campbell

Since Specialization
Citations

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

Fields of papers citing papers by Jon Campbell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2015136
2 201792
3 201942
4 199824
5 201814
6 19699
7 20238
8 20228
9 20255
10 20235
11 20235
12 19985
13 20225
14 20252
15 20250

About Jon Campbell

Jon Campbell is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Biomedical Engineering, Organic Chemistry and Neurology, having authored 15 papers that have together received 360 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (4 papers), Advanced Neuroimaging Techniques and Applications (3 papers), Functional Brain Connectivity Studies (3 papers), Medical Imaging Techniques and Applications (2 papers), Asymmetric Synthesis and Catalysis (2 papers), Synthetic Organic Chemistry Methods (2 papers), Muscle activation and electromyography studies (2 papers) and Ultrasound and Hyperthermia Applications (2 papers). The work is most often cited by research in Pharmacy (31 citations), Pediatrics, Perinatology and Child Health (107 citations), Cognitive Neuroscience (99 citations), Radiology, Nuclear Medicine and Imaging (110 citations) and Developmental Neuroscience (14 citations). Jon Campbell has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Jesper Andersson, Ivana Drobnjak, Hui Zhang, Mark S. Graham, Mark Jenkinson, Irene Tracey, Stuart Clare, Caroline Hartley, Sezgi Goksan and Mike Sanders. Their work appears in journals such as Journal of Neuroscience, Nature Communications, Investigative Radiology, Scientific Reports and NeuroImage Clinical.

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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