Patricia M. Johnson

1.6k citations
39 papers · 916 indexed · 1 hit paper · h-index 15

Patricia M. Johnson

35 papers receiving 854 citations

Hit Papers

Deep Learning Reconstruction Enables Prospectively Accele...692023202620242025204060

Peers

Patricia M. Johnson
Comparison fields: 5 of 120
  • Health Informatics 27
  • Radiology, Nuclear Medicine and Imaging 400
  • General Dentistry 23
  • Periodontics 55
  • Medical Laboratory Technology 12
Replace Derek W. Brown with:
Derek W. Brown United States
William D. McDavid United States
Soon-Chul Choi South Korea
James V. Little United States
R D Start United Kingdom
Gérald Quatrehomme France
Richard Bassed Australia
Richard C. Zellars United States
Hila May Israel
Felix Krause Germany
Patricia M. Johnson relative to Derek W. Brown United States Derek W. Brown's profile →
Citations per field
00.5×4.6×
Derek W. Brown · 1×
Citations per year

Countries citing papers authored by Patricia M. Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Patricia M. Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patricia M. Johnson. 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 Patricia M. Johnson. The network helps show where Patricia M. Johnson may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20251
3 20250
4 20243
5 202413
6 20243
7
Deep Learning Reconstruction Enables Prospectively Accelerated Clinical Knee MRIbreakdown →
202369
8 20233
9 201912
10 201969
11 201615
12 201516
13 20047
14 200332
15 200296
16 20015
17 200121
18 200113
19 199718
20
Male-Biased Breeding Ground Fidelity and Longevity in American Golden-Plovers
19975

About Patricia M. Johnson

Patricia M. Johnson is a scholar working on Radiology, Nuclear Medicine and Imaging, Periodontics and General Dentistry, having authored 39 papers that have together received 916 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (11 papers), Avian ecology and behavior (10 papers), Medical Imaging Techniques and Applications (9 papers), Prostate Cancer Diagnosis and Treatment (7 papers), MRI in cancer diagnosis (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Marine and coastal plant biology (5 papers) and Prostate Cancer Treatment and Research (4 papers). The work is most often cited by research in Health Informatics (27 citations), Radiology, Nuclear Medicine and Imaging (400 citations) and General Dentistry (23 citations). Patricia M. Johnson has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Florian Knöll, Maria Drangova, Dana J. Lin, Yvonne W. Lui, Oscar W. Johnson, Damian Greene, A.J. Hildreth, Michael P. Recht, Phillip L. Bruner and Martin L. Morton. Their work appears in journals such as Nature, Scientific Reports and 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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