Philip J. Mitchell

743 citations
11 papers · 602 indexed · h-index 9
Topics
Melanoma and MAPK Pathways (4 papers)PI3K/AKT/mTOR signaling in cancer (3 papers)Protein Kinase Regulation and GTPase Signaling (2 papers)

In The Last Decade

Philip J. Mitchell

11 papers receiving 599 citations

Peers

Philip J. Mitchell
Comparison fields: 5 of 51
  • Molecular Biology 495
  • Oncology 245
  • Cell Biology 84
  • Cancer Research 66
  • Immunology and Allergy 62
Replace William J. Muller with:
William J. Muller Canada
Evelyn Maczey Germany
V DeSeau United States
Yasunobu Kuraishi Japan
Larisa Y. Romanova United States
Hong-Jen Lee Taiwan
Jeffrey E. Lehr United States
Katherine Ewings United Kingdom
Jennifer Volkman United States
Antonio Candiloro Italy
Philip J. Mitchell relative to William J. Muller Canada William J. Muller's profile →
Citations per field
00.5×
William J. Muller · 1×
Citations per year

Countries citing papers authored by Philip J. Mitchell

Since Specialization
Citations

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

Fields of papers citing papers by Philip J. Mitchell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip J. Mitchell

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 14
2 17
3 70
4 2
5 114
6 37
7 98
8
Cloning and characterisation of cDNAs encoding a novel non-receptor tyrosine kinase, brk, expressed in human breast tumours.
135
9 98
10
Nucleotide sequence analysis of human tpr cDNA clones
11
11 6

About Philip J. Mitchell

Philip J. Mitchell is a scholar working on Immunology and Allergy, Oncology and Molecular Biology, having authored 11 papers that have together received 602 indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (4 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). The work is most often cited by research in Immunology and Allergy (62 citations), Oncology (245 citations) and Molecular Biology (495 citations). Philip J. Mitchell has collaborated with scholars based in United Kingdom, United States and Norway. Frequent co-authors include M. Rufus Crompton, Martin Pagé, Tahereh Kamalati, Elizabeth Sara, Karen Barker, David J. Easty, Viví Ann Flørenes, Ketan Patel, Dorothy C. Bennett and Richard A. Spritz. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Cell Biology and Molecular and Cellular Biology.

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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