Michael T. Paddock

685 citations
41 papers · 444 · h-index 13

Impact in

Papers in

Michael T. Paddock

37 papers receiving 428 citations

Peers

Michael T. Paddock
Comparison fields: 5 of 60
  • Health 76
  • Pediatrics, Perinatology and Child Health 86
  • Emergency Medicine 47
  • Critical Care and Intensive Care Medicine 20
  • Health Informatics 10
Replace William Ken Milne with:
William Ken Milne Canada
Ashley L. Woodford United States
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Roxanne Vrees United States
Umut Gülaçtı Türkiye
Jennifer N. Fishe United States
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Citations per field
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Citations per year

Countries citing papers authored by Michael T. Paddock

Since Specialization
Citations

This map shows the geographic impact of Michael T. Paddock'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 Michael T. Paddock with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael T. Paddock more than expected).

Fields of papers citing papers by Michael T. Paddock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael T. Paddock. 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 Michael T. Paddock. The network helps show where Michael T. Paddock may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201677
2 201949
3 201844
4 201428
5 202024
6 201923
7 201522
8 201619
9 201718
10 201818
11 202018
12 201617
13 201914
14 202011
15 202111
16 20178
17 20225
18 20174
19 20204
20 20234

About Michael T. Paddock

Michael T. Paddock is a scholar working on Pediatrics, Perinatology and Child Health, Rheumatology, Health, Radiology, Nuclear Medicine and Imaging and Surgery, having authored 41 papers that have together received 444 indexed citations. Recurring topics across this work include Child Abuse and Related Trauma (10 papers), Innovations in Medical Education (3 papers), Fetal and Pediatric Neurological Disorders (3 papers), Neonatal and fetal brain pathology (3 papers), Radiology practices and education (3 papers), Social Media in Health Education (3 papers), Bone Tumor Diagnosis and Treatments (2 papers) and Cardiovascular and exercise physiology (1 paper). The work is most often cited by research in Health (76 citations), Pediatrics, Perinatology and Child Health (86 citations), Emergency Medicine (47 citations), Critical Care and Intensive Care Medicine (20 citations) and Health Informatics (10 citations). Michael T. Paddock has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Amaka C Offiah, Andrew Grock, Teresa M. Chan, Lalena M. Yarris, Kulamakan Mahan Kulasegaram, Michelle Lin, Alan Sprigg, Isabelle N Colmers-Gray, Brent Thoma and Nathan Seth Trueger. Their work appears in journals such as Clinical Radiology, Annals of Emergency Medicine, Insights into Imaging, Archives of Disease in Childhood and European Radiology.

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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