Philip A. Barker

5.4k citations
42 papers · 4.4k indexed · 1 hit paper · h-index 30
Topics
NF-κB Signaling Pathways (13 papers)Cell death mechanisms and regulation (10 papers)Immune Response and Inflammation (7 papers)

In The Last Decade

Philip A. Barker

40 papers receiving 4.3k citations

Hit Papers

cIAP1 and cIAP2 Facilitate Cancer Cell Survival by Functi...20082026201420202008250500750

Peers

Philip A. Barker
Comparison fields: 5 of 112
  • Molecular Biology 2.7k
  • Immunology 1.2k
  • Cellular and Molecular Neuroscience 948
  • Cancer Research 847
  • Oncology 498
Replace Sourav Ghosh with:
Sourav Ghosh United States
Isabella A. Graef United States
Takashi Okada Japan
Stephen J. Crocker United States
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Isabel Varela‐Nieto Spain
Chong Chen China
Christos D. Katsetos United States
Marieangela C. Wilson United Kingdom
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Philip A. Barker relative to Sourav Ghosh United States Sourav Ghosh's profile →
Citations per field
00.5×1.6×
Sourav Ghosh · 1×
Citations per year

Countries citing papers authored by Philip A. Barker

Since Specialization
Citations

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

Fields of papers citing papers by Philip A. Barker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip A. Barker. 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 Philip A. Barker. The network helps show where Philip A. Barker may publish in the future.

Co-authorship network of co-authors of Philip A. Barker

This figure shows the co-authorship network connecting the top 25 collaborators of Philip A. Barker. A scholar is included among the top collaborators of Philip A. Barker 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 Philip A. Barker. Philip A. Barker 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 21
2 105
3 100
4 44
5 65
6 85
7 22
8 154
9 278
10
cIAP1 and cIAP2 Facilitate Cancer Cell Survival by Functioning as E3 Ligases that Promote RIP1 Ubiquitinationbreakdown →
874
11 149
12 58
13 25
14 76
15 43
16 44
17 88
18 125
19 149
20 44

About Philip A. Barker

Philip A. Barker is a scholar working on Cancer Research, Developmental Neuroscience and Cellular and Molecular Neuroscience, having authored 42 papers that have together received 4.4k indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (13 papers), Cell death mechanisms and regulation (10 papers) and Immune Response and Inflammation (7 papers). The work is most often cited by research in Developmental Neuroscience (302 citations), Immunology (1.2k citations) and Cancer Research (847 citations). Philip A. Barker has collaborated with scholars based in Canada, United States and Argentina. Frequent co-authors include Kathleen M. Dickson, Amir H. Salehi, Mathieu J.M. Bertrand, Stephen J. Morris, Asha Bhakar, Snezana Milutinovic, John W. Gillard, Jon P. Durkin, James B. Jaquith and Alain Boudreault. Their work appears in journals such as Journal of Biological Chemistry, Neuron and The Journal of Experimental Medicine.

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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