John G. Phillips

98 total papers · 1.6k total citations
56 papers, 831 citations indexed

About

John G. Phillips is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Genetics. According to data from OpenAlex, John G. Phillips has authored 56 papers receiving a total of 831 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Pulmonary and Respiratory Medicine, 15 papers in Surgery and 9 papers in Genetics. Recurrent topics in John G. Phillips's work include Glioma Diagnosis and Treatment (9 papers), Brain Metastases and Treatment (8 papers) and Reconstructive Surgery and Microvascular Techniques (8 papers). John G. Phillips is often cited by papers focused on Glioma Diagnosis and Treatment (9 papers), Brain Metastases and Treatment (8 papers) and Reconstructive Surgery and Microvascular Techniques (8 papers). John G. Phillips collaborates with scholars based in United States, United Kingdom and Netherlands. John G. Phillips's co-authors include Daniel E. Spratt, Dennis E. Hallahan, Li Zhou, Roberto Díaz, Richard E. Hayden, Hongmei Wu, Eva Harth, Alice E. van der Ende, Roberto Efraín Díaz and Vasanth Sathiyakumar and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and Clinical Cancer Research.

In The Last Decade

John G. Phillips

54 papers receiving 811 citations

Author Peers

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

Author Last Decade Papers Cites
John G. Phillips 197 176 157 142 131 56 831
Akihide Negishi 132 0.7× 116 0.7× 340 2.2× 18 0.1× 144 1.1× 57 739
G Hübner 413 2.1× 76 0.4× 138 0.9× 25 0.2× 284 2.2× 68 1.0k
Chia‐Yen Lin 137 0.7× 143 0.8× 161 1.0× 19 0.1× 124 0.9× 63 915
Hui‐Chuan Kau 102 0.5× 37 0.2× 145 0.9× 19 0.1× 72 0.5× 41 839
Junting Huang 137 0.7× 173 1.0× 313 2.0× 12 0.1× 366 2.8× 92 1.0k
Hideko Kiguchi 421 2.1× 346 2.0× 163 1.0× 29 0.2× 176 1.3× 42 856
Zheng Huang 284 1.4× 192 1.1× 299 1.9× 13 0.1× 97 0.7× 61 1.0k
B. Parashar 137 0.7× 417 2.4× 187 1.2× 8 0.1× 179 1.4× 47 873
U.J.G.M. van Haelst 232 1.2× 140 0.8× 293 1.9× 23 0.2× 207 1.6× 39 961
Christine Wallace 244 1.2× 35 0.2× 332 2.1× 25 0.2× 176 1.3× 28 1.0k

Countries citing papers authored by John G. Phillips

Since Specialization
Citations

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

Fields of papers citing papers by John G. Phillips

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John G. Phillips. 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 John G. Phillips. The network helps show where John G. Phillips may publish in the future.

Co-authorship network of co-authors of John G. Phillips

This figure shows the co-authorship network connecting the top 25 collaborators of John G. Phillips. A scholar is included among the top collaborators of John G. Phillips 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 John G. Phillips. John G. Phillips 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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