Raven Smith

844 citations
9 papers · 50 · h-index 3

Impact in

Papers in

Raven Smith

7 papers receiving 49 citations

Peers

Raven Smith
Comparison fields: 5 of 27
  • Radiology, Nuclear Medicine and Imaging 29
  • Endocrinology, Diabetes and Metabolism 20
  • Research and Theory 1
  • Pulmonary and Respiratory Medicine 21
  • Clinical Psychology 7
Replace Shan Guang-liang with:
Shan Guang-liang China
Rubab F. Malik United States
M Meunier France
Francisco Suárez Australia
İdris Yakut Türkiye
Caitríona Canning Ireland
Till Köhler Germany
L. V. Pikalova Russia
Laurent Roussel France
Hamid Sharif Khan Pakistan
Raven Smith relative to Shan Guang-liang China Shan Guang-liang's profile →
Citations per field
00.5×7.3×
Shan Guang-liang · 1×
Citations per year

Countries citing papers authored by Raven Smith

Since Specialization
Citations

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

Fields of papers citing papers by Raven Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 202033
2 20217
3 20224
4 20202
5 20202
6 20201
7
68Ga-PSMA PET/MRI: Determining ideal acquisition times to reduce noise and increase image quality
20181
8 20240
9 20250

About Raven Smith

Raven Smith is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Cancer Research, General Health Professions and Clinical Psychology, having authored 9 papers that have together received 50 indexed citations. Recurring topics across this work include Radiopharmaceutical Chemistry and Applications (5 papers), Prostate Cancer Treatment and Research (3 papers), Medical Imaging Techniques and Applications (3 papers), Cancer, Lipids, and Metabolism (2 papers), Obesity and Health Practices (1 paper), Health and Lifestyle Studies (1 paper), Cancer Genomics and Diagnostics (1 paper) and Mindfulness and Compassion Interventions (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (29 citations), Endocrinology, Diabetes and Metabolism (20 citations), Research and Theory (1 citation), Pulmonary and Respiratory Medicine (21 citations) and Clinical Psychology (7 citations). Raven Smith has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Thomas A. Hope, Robert R. Flavell, Courtney Lawhn-Heath, Sue S. Yom, Spencer C. Behr, Chien‐Ying Liu, Javier Villanueva-Meyer, Jason W. Chan, Roxanna Juarez and Miguel Hernandez Pampaloni. Their work appears in journals such as EJNMMI Physics, Frontiers in Oncology, Journal of Clinical Oncology, Nursing Research and Contemporary Clinical Trials.

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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