Frank Starr

1.1k citations
37 papers · 854 · h-index 16

Impact in

Papers in

Frank Starr

37 papers receiving 825 citations

Peers

Frank Starr
Comparison fields: 5 of 80
  • Radiology, Nuclear Medicine and Imaging 194
  • Biomedical Engineering 371
  • Pulmonary and Respiratory Medicine 191
  • Hepatology 37
  • Internal Medicine 14
Replace Yak-Nam Wang with:
Yak-Nam Wang United States
George R. Schade United States
Jakub Wiskirchen Germany
Rachel R. Phillips United Kingdom
Erik A. Maus United States
Douglas M. Cromeens United States
John M. Brock United States
Christof M. Sommer Germany
Kimberly Ives United States
Yaqi Shen China
Frank Starr relative to Yak-Nam Wang United States Yak-Nam Wang's profile →
Citations per field
00.5×1.5×
Yak-Nam Wang · 1×
Citations per year

Countries citing papers authored by Frank Starr

Since Specialization
Citations

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

Fields of papers citing papers by Frank Starr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1977121
2 2014110
3 201581
4 200961
5 199252
6 201947
7 201643
8 201537
9 201734
10 201331
11 201927
12 201325
13 199523
14 201321
15 201420
16 200415
17 201714
18 200713
19 200510
20 201810

About Frank Starr

Frank Starr is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Pediatrics, Perinatology and Child Health and Hepatology, having authored 37 papers that have together received 854 indexed citations. Recurring topics across this work include Kidney Stones and Urolithiasis Treatments (13 papers), Ultrasound and Hyperthermia Applications (9 papers), Pediatric Urology and Nephrology Studies (5 papers), Radiation Dose and Imaging (3 papers), Advanced MRI Techniques and Applications (3 papers), Renal cell carcinoma treatment (2 papers), MRI in cancer diagnosis (2 papers) and Hepatocellular Carcinoma Treatment and Prognosis (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (194 citations), Biomedical Engineering (371 citations), Pulmonary and Respiratory Medicine (191 citations), Hepatology (37 citations) and Internal Medicine (14 citations). Frank Starr has collaborated with scholars based in United States, Russia and British Virgin Islands. Frequent co-authors include Yak-Nam Wang, Tatiana D. Khokhlova, Michael R. Bailey, Julianna C. Simon, Bryan W. Cunitz, Joo Ha Hwang, Marla Paun, Robert I. White, Klemens H. Barth and Yak-Nam Wang. Their work appears in journals such as The Journal of the Acoustical Society of America, The Journal of Urology, Journal of Endourology, Ultrasound in Medicine & Biology 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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