Andrew C. Phillips

4.3k citations
29 papers · 2.7k indexed · 2 hit papers · h-index 18
Topics
Cancer-related Molecular Pathways (11 papers)Ubiquitin and proteasome pathways (6 papers)HER2/EGFR in Cancer Research (6 papers)

In The Last Decade

Andrew C. Phillips

29 papers receiving 2.7k citations

Hit Papers

Role for the p53 homologue p73 in E2F-1-induced apoptosis200020262008201720002001100200300400500

Peers

Andrew C. Phillips
Comparison fields: 5 of 102
  • Molecular Biology 2.1k
  • Oncology 1.7k
  • Cancer Research 378
  • Biotechnology 333
  • Cell Biology 270
Replace Zhi-Min Yuan with:
Zhi-Min Yuan United States
Gareth L. Bond United Kingdom
Stewart Bates United States
Carl G. Maki United States
Christine Blattner Germany
Simona Ronzoni Italy
Jack T. Zilfou United States
Elisheva Yonish-Rouach France
Stephano S. Mello Brazil
Barbara A. Osborne United States
Andrew C. Phillips relative to Zhi-Min Yuan United States Zhi-Min Yuan's profile →
Citations per field
00.5×1.5×
Zhi-Min Yuan · 1×
Citations per year

Countries citing papers authored by Andrew C. Phillips

Since Specialization
Citations

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

Fields of papers citing papers by Andrew C. Phillips

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew C. Phillips

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew C. Phillips. A scholar is included among the top collaborators of Andrew C. 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 Andrew C. Phillips. Andrew C. Phillips is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 7
3 2
4 9
5 1
6 136
7 26
8 26
9 24
10 44
11 263
12
Regulation and function of the p53 tumor suppressor proteinbreakdown →
591
13 114
14
Role for the p53 homologue p73 in E2F-1-induced apoptosisbreakdown →
592
15 19
16 204
17 149
18 237
19 46
20 8

About Andrew C. Phillips

Andrew C. Phillips is a scholar working on Oncology, Biotechnology and Radiology, Nuclear Medicine and Imaging, having authored 29 papers that have together received 2.7k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (11 papers), Ubiquitin and proteasome pathways (6 papers) and HER2/EGFR in Cancer Research (6 papers). The work is most often cited by research in Oncology (1.7k citations), Biotechnology (333 citations) and Molecular Biology (2.1k citations). Andrew C. Phillips has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Karen H. Vousden, Kevin M. Ryan, Stewart Bates, Meredith S. Irwin, Elsa R. Flores, Jeremy C. Smith, Tyler Jacks, Wanguo Liu, Kenneth Y. Tsai and María C. Marín. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

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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