Peter J. Parker

42.3k total citations · 10 hit papers
406 papers, 33.7k citations indexed

About

Peter J. Parker is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Peter J. Parker has authored 406 papers receiving a total of 33.7k indexed citations (citations by other indexed papers that have themselves been cited), including 320 papers in Molecular Biology, 117 papers in Cell Biology and 46 papers in Oncology. Recurrent topics in Peter J. Parker's work include Protein Kinase Regulation and GTPase Signaling (212 papers), Cellular transport and secretion (69 papers) and PI3K/AKT/mTOR signaling in cancer (41 papers). Peter J. Parker is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (212 papers), Cellular transport and secretion (69 papers) and PI3K/AKT/mTOR signaling in cancer (41 papers). Peter J. Parker collaborates with scholars based in United Kingdom, United States and Belgium. Peter J. Parker's co-authors include Lodewijk V. Dekker, Michael D. Waterfield, Julian Downward, Wolfgang Ziegler, Rüdiger Woscholski, Richard Marais, Silvia Stabel, Philip Cohen, Frank T. Cooke and Frédéric Bornancin and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Peter J. Parker

402 papers receiving 33.0k citations

Hit Papers

The extended protein kinase C superfamily 1984 2026 1998 2012 1998 2001 1998 1986 1994 400 800 1.2k

Peers

Peter J. Parker
Comparison fields: 5 of 176
  • Molecular Biology 25.3k
  • Cell Biology 7.6k
  • Oncology 3.9k
  • Immunology 3.5k
  • Cellular and Molecular Neuroscience 3.0k
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Citations per field, relative to Peter J. Parker
Peter J. Parker · 1×
Citations per year, relative to Peter J. Parker
Peter J. Parker · 1×

Countries citing papers authored by Peter J. Parker

Since Specialization
Citations

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

Fields of papers citing papers by Peter J. Parker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter J. Parker

This figure shows the co-authorship network connecting the top 25 collaborators of Peter J. Parker. A scholar is included among the top collaborators of Peter J. Parker 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 Peter J. Parker. Peter J. Parker 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
# Work Indexed citations
1 10
2 35
3 26
4 12
5 1
6 5
7 20
8 4
9 106
10 21
11 47
12 67
13 228
14 82
15
FGF-2 protects small cell lung cancer cells from apoptosis through a complex involving PKC epsilon, B-Raf and S6K2
9
16 23
17
A reader's guide to twentieth-century writers
4
18
Overexpression of protein kinase C-zeta stimulates leukemic cell differentiation.
53
19 13
20 62

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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