Charles Phillips

60 papers receiving 1.0k citations

Peers

Charles Phillips
Comparison fields: 5 of 161
  • Statistical and Nonlinear Physics 75
  • Political Science and International Relations 139
  • Pulmonary and Respiratory Medicine 137
  • Computational Theory and Mathematics 78
  • Signal Processing 45
Replace James Stewart with:
James Stewart Canada
Haihua Chen China
Fisher United States
Lee D. Baker United Kingdom
Chikio Hayashi Japan
Allen R. Sanderson United States
Alex Lewin United Kingdom
Yogendra P. Chaubey Canada
Fabrício Martins Lopes Brazil
Yoonkyung Lee United States
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Citations per field
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Citations per year

Countries citing papers authored by Charles Phillips

Since Specialization
Citations

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

Fields of papers citing papers by Charles Phillips

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1976160
2 2014128
3 200982
4 200269
5 201268
6 201857
7 200856
8 201144
9 201240
10 195534
11 201428
12 201423
13
Curran And His Contemporaries
200723
14 201522
15 201921
16 201720
17 201919
18 196618
19 201417
20
A novel approach to analyzing lung cancer mortality disparities: Using the exposome and a graph-theoretical toolchain.
201713

About Charles Phillips

Charles Phillips is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health, Statistical and Nonlinear Physics, Artificial Intelligence and Computational Theory and Mathematics, having authored 71 papers that have together received 1.2k indexed citations. Recurring topics across this work include Gene expression and cancer classification (8 papers), Childhood Cancer Survivors' Quality of Life (8 papers), Bioinformatics and Genomic Networks (6 papers), Complex Network Analysis Techniques (5 papers), Data Management and Algorithms (3 papers), Adolescent and Pediatric Healthcare (3 papers), Complexity and Algorithms in Graphs (3 papers) and Electoral Systems and Political Participation (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (75 citations), Political Science and International Relations (139 citations), Pulmonary and Respiratory Medicine (137 citations), Computational Theory and Mathematics (78 citations) and Signal Processing (45 citations). Charles Phillips has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Michael A. Langston, Samuel L. Popkin, Jeffrey A. Smith, Gary L. Rogers, Elissa J. Chesler, Erich J. Baker, Kaleem Siddiqi, Yun Zhang, L. Charles Bailey and James E. Loyd. Their work appears in journals such as Pediatric Blood & Cancer, BMC Bioinformatics, Supportive Care in Cancer, The Journal of Urology and International Journal of Environmental Research and Public Health.

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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