Frank Starr

1.1k citations
33 papers · 889 · h-index 16

Impact in

Papers in

Frank Starr

33 papers receiving 844 citations

Peers

Frank Starr
Comparison fields: 5 of 84
  • Radiology, Nuclear Medicine and Imaging 202
  • Biomedical Engineering 372
  • Pulmonary and Respiratory Medicine 197
  • Hepatology 39
  • Internal Medicine 14
Replace Erik Alberto Maus with:
Erik Alberto Maus United States
Latisha A. Smith United States
Yak-Nam Wang United States
Michael Heinrich Seegenschmiedt Germany
Rachel R. Phillips United Kingdom
George Rexford Schade United States
Xucai Chen United States
Jakub Wiskirchen Germany
Hironobu Wada Japan
Thomas K. Chung United States
Frank Starr relative to Erik Alberto Maus United States Erik Alberto Maus's profile →
Citations per field
00.5×2×3×3.9×
Erik Alberto Maus · 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 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1977135
2 2014110
3 201584
4 200960
5 199257
6 201948
7 201645
8 201539
9 201735
10 201333
11 201929
12 201329
13 199525
14 201323
15 201423
16 200416
17 200714
18 201714
19 200111
20 200511

About Frank Starr

Frank Starr is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Hepatology, Pediatrics, Perinatology and Child Health and Biomedical Engineering, having authored 33 papers that have together received 889 indexed citations. Recurring topics across this work include Kidney Stones and Urolithiasis Treatments (10 papers), Ultrasound and Hyperthermia Applications (8 papers), Pediatric Urology and Nephrology Studies (4 papers), Advanced MRI Techniques and Applications (3 papers), Reservoir Engineering and Simulation Methods (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Radiation Dose and Imaging (2 papers) and Renal cell carcinoma treatment (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (202 citations), Biomedical Engineering (372 citations), Pulmonary and Respiratory Medicine (197 citations), Hepatology (39 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. P. Bailey, Bryan W. Cunitz, Joo Ha Hwang, Julianna C. Simon, Robert I. White, Klemens H. Barth, Marla K. Paun and Yak-Nam Wang. Their work appears in journals such as The Journal of Urology, Journal of Endourology, Ultrasound in Medicine & Biology, Academic Radiology 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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