Daniel W. Good

29 papers receiving 410 citations

Peers

Daniel W. Good
Comparison fields: 5 of 89
  • Pulmonary and Respiratory Medicine 155
  • Urology 28
  • Surgery 180
  • Radiology, Nuclear Medicine and Imaging 64
  • Biomedical Engineering 110
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Costanza Bruno Italy
Malene Roland Vils Pedersen Denmark
Peter Struve Austria
Memik Teke Türkiye
Tsuyoshi Mitake Japan
M. Cody O’Dell United States
Vishy Mahadevan United Kingdom
Jack Porrino United States
Mats Lidén Sweden
Paolo Campioni Italy
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Citations per year

Countries citing papers authored by Daniel W. Good

Since Specialization
Citations

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

Fields of papers citing papers by Daniel W. Good

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel W. Good. 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 Daniel W. Good. The network helps show where Daniel W. Good may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201157
2 201357
3 201454
4 201248
5 201529
6 201326
7 201419
8 201518
9 201716
10 201311
11 201111
12 201110
13 20138
14 20147
15 20177
16 20177
17 20136
18 20116
19 20156
20 20175

About Daniel W. Good

Daniel W. Good is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Mechanics of Materials, having authored 30 papers that have together received 427 indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (12 papers), Ultrasound Imaging and Elastography (5 papers), Elasticity and Material Modeling (5 papers), Colorectal Cancer Surgical Treatments (3 papers), Prostate Cancer Treatment and Research (3 papers), Urologic and reproductive health conditions (3 papers), Ultrasonics and Acoustic Wave Propagation (3 papers) and Hemodynamic Monitoring and Therapy (2 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (155 citations), Urology (28 citations), Surgery (180 citations), Radiology, Nuclear Medicine and Imaging (64 citations) and Biomedical Engineering (110 citations). Daniel W. Good has collaborated with scholars based in United Kingdom, Germany and Ireland. Frequent co-authors include Grant D. Stewart, S. Alan McNeill, Darren F. Lui, John P. McElwain, Michael Leonard, Seamus Morris, R.L. Reuben, Simon Phipps, Alexander Laird and Wenmiao Shu. Their work appears in journals such as International Journal for Numerical Methods in Biomedical Engineering, British Journal of Urology, Journal of Endourology, World Journal of Urology and Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine.

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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