Peter McGraw

621 citations
9 papers · 491 · h-index 7

Impact in

Papers in

Peter McGraw

9 papers receiving 467 citations

Peers

Peter McGraw
Comparison fields: 5 of 60
  • Radiology, Nuclear Medicine and Imaging 251
  • Genetics 87
  • Computational Mathematics 5
  • Pediatrics, Perinatology and Child Health 82
  • Orthopedics and Sports Medicine 31
Replace Jussi Perkiö with:
Jussi Perkiö Finland
Annette T. Betley United States
Fumio Kanda Japan
Markus Fahlström Sweden
Tizian Rosenstock Germany
Dominik Fritzsch Germany
Hironori Kamano Japan
Paula Croal United Kingdom
Shamseldeen Mahmoud United States
Lucius S. Fekonja Germany
Peter McGraw relative to Jussi Perkiö Finland Jussi Perkiö's profile →
Citations per field
00.5×3.0×
Jussi Perkiö · 1×
Citations per year

Countries citing papers authored by Peter McGraw

Since Specialization
Citations

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

Fields of papers citing papers by Peter McGraw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Peter McGraw, 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 Peter McGraw Line = papers co-authored together Peter McGraw links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2004213
2 2002113
3 200556
4 199839
5 200125
6 200323
7 199815
8 19984
9 20003

About Peter McGraw

Peter McGraw is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Physiology, Surgery and Neurology, having authored 9 papers that have together received 491 indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (3 papers), Advanced MRI Techniques and Applications (2 papers), Management of metastatic bone disease (1 paper), Genetic and Kidney Cyst Diseases (1 paper), Lysosomal Storage Disorders Research (1 paper), Clinical Laboratory Practices and Quality Control (1 paper), Neuroblastoma Research and Treatments (1 paper) and Elasticity and Material Modeling (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (251 citations), Genetics (87 citations), Computational Mathematics (5 citations), Pediatrics, Perinatology and Child Health (82 citations) and Orthopedics and Sports Medicine (31 citations). Peter McGraw has collaborated with scholars based in United States. Frequent co-authors include James M. Provenzale, Luxia Liang, David M. DeLong, Joanne Kurtzberg, Srinivasan Mukundan, Maria L. Escolar, Mary Edwards‐Brown, Micheal D. Phillips, Vincent P. Mathews and John P. Donohue. Their work appears in journals such as Radiology, American Journal of Roentgenology, The Journal of Urology, Journal of Computer Assisted Tomography and Neuroimaging Clinics of North America.

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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