Boone Goodgame

1.2k citations
40 papers · 893 · h-index 14

Impact in

Papers in

Boone Goodgame

37 papers receiving 883 citations

Peers

Boone Goodgame
Comparison fields: 5 of 73
  • Cancer Research 178
  • Pulmonary and Respiratory Medicine 299
  • Modeling and Simulation 37
  • Radiology, Nuclear Medicine and Imaging 152
  • Oncology 153
Replace Ka-On Lam with:
Ka-On Lam Hong Kong
Cami S. Sima United States
Seung‐Gu Yeo South Korea
Mathilde Marchand France
Oyewale O. Abidoye United States
Cheng‐Bo Han China
Navita Somaiah United Kingdom
Dominic Smethurst United Kingdom
Jie‐Tao Ma China
Boone Goodgame relative to Ka-On Lam Hong Kong Ka-On Lam's profile →
Citations per field
00.5×9.3×
Ka-On Lam · 1×
Citations per year

Countries citing papers authored by Boone Goodgame

Since Specialization
Citations

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

Fields of papers citing papers by Boone Goodgame

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010155
2 2012118
3 201979
4 200877
5 200955
6 201052
7 200348
8 200847
9 201843
10 202039
11 200831
12 202127
13 201722
14 201316
15 202111
16 20099
17 20109
18 20197
19 20087
20 20196

About Boone Goodgame

Boone Goodgame is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Oncology, Molecular Biology and Cancer Research, having authored 40 papers that have together received 893 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (12 papers), Lung Cancer Diagnosis and Treatment (9 papers), Radiomics and Machine Learning in Medical Imaging (9 papers), Lung Cancer Treatments and Mutations (5 papers), Medical Imaging Techniques and Applications (4 papers), Advanced MRI Techniques and Applications (4 papers), Lung Cancer Research Studies (3 papers) and Breast Cancer Treatment Studies (2 papers). The work is most often cited by research in Cancer Research (178 citations), Pulmonary and Respiratory Medicine (299 citations), Modeling and Simulation (37 citations), Radiology, Nuclear Medicine and Imaging (152 citations) and Oncology (153 citations). Boone Goodgame has collaborated with scholars based in United States, United Kingdom and Ireland. Frequent co-authors include Ramaswamy Govindan, Feng Gao, Daniel Morgensztern, John Virostko, Maria Q. Baggstrom, Thomas E. Yankeelov, Janakiraman Subramanian, Jay F. Piccirillo, Anna Capasso and John D. Pfeifer. Their work appears in journals such as Journal of Thoracic Oncology, Journal of Clinical Oncology, Cancer Research, Tomography and Carcinogenesis.

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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