James Good

25 total papers · 712 total citations
13 papers, 154 citations indexed

About

James Good is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Radiation. According to data from OpenAlex, James Good has authored 13 papers receiving a total of 154 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pulmonary and Respiratory Medicine, 5 papers in Oncology and 4 papers in Radiation. Recurrent topics in James Good's work include Advanced Radiotherapy Techniques (4 papers), Lung Cancer Diagnosis and Treatment (3 papers) and Hepatocellular Carcinoma Treatment and Prognosis (2 papers). James Good is often cited by papers focused on Advanced Radiotherapy Techniques (4 papers), Lung Cancer Diagnosis and Treatment (3 papers) and Hepatocellular Carcinoma Treatment and Prognosis (2 papers). James Good collaborates with scholars based in United Kingdom, United States and Netherlands. James Good's co-authors include Kevin J. Harrington, Pascal Meier, Ian Collins, Joan Kyula, Ned Powell, Aadil Khan, Gerben R. Borst, Michelle D. Garrett, Martin McLaughlin and Shane Zaidi and has published in prestigious journals such as Journal of Clinical Oncology, British Journal of Cancer and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

James Good

11 papers receiving 153 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
James Good 91 72 26 24 22 13 154
Mohammadreza Azangou‐Khyavy 67 0.7× 84 1.2× 15 0.6× 22 0.9× 30 1.4× 12 169
Albert Kheradpour 60 0.7× 95 1.3× 26 1.0× 19 0.8× 25 1.1× 18 247
Thomas Gribbin 59 0.6× 118 1.6× 32 1.2× 39 1.6× 16 0.7× 18 240
Scott T.C. Shepherd 99 1.1× 45 0.6× 39 1.5× 36 1.5× 13 0.6× 17 170
Gijs J. F. van Son 63 0.7× 81 1.1× 9 0.3× 25 1.0× 18 0.8× 12 169
Lars Fransecky 101 1.1× 131 1.8× 11 0.4× 34 1.4× 21 1.0× 14 265
Audrey Turchick 103 1.1× 121 1.7× 41 1.6× 72 3.0× 10 0.5× 11 262
Sumito Shingaki 35 0.4× 87 1.2× 24 0.9× 33 1.4× 12 0.5× 15 132
Anupriya S. Kulkarni 119 1.3× 86 1.2× 22 0.8× 32 1.3× 25 1.1× 10 248
Javier Fernández-Mateos 82 0.9× 136 1.9× 28 1.1× 95 4.0× 30 1.4× 16 263

Countries citing papers authored by James Good

Since Specialization
Citations

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

Fields of papers citing papers by James Good

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Good

This figure shows the co-authorship network connecting the top 25 collaborators of James Good. A scholar is included among the top collaborators of James Good based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with James Good. James Good is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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