Jack E. Dixon

45.0k total citations · 9 hit papers
347 papers, 35.7k citations indexed

About

Jack E. Dixon is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jack E. Dixon has authored 347 papers receiving a total of 35.7k indexed citations (citations by other indexed papers that have themselves been cited), including 255 papers in Molecular Biology, 71 papers in Cell Biology and 61 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jack E. Dixon's work include Protein Tyrosine Phosphatases (67 papers), Neuropeptides and Animal Physiology (46 papers) and Peptidase Inhibition and Analysis (28 papers). Jack E. Dixon is often cited by papers focused on Protein Tyrosine Phosphatases (67 papers), Neuropeptides and Animal Physiology (46 papers) and Peptidase Inhibition and Analysis (28 papers). Jack E. Dixon collaborates with scholars based in United States, United Kingdom and China. Jack E. Dixon's co-authors include Tomohiko Maehama, Carolyn A. Worby, Kun‐Liang Guan, John M. Denu, Gregory S. Taylor, James C. Clemens, Philip Andrews, Matthew J. Wishart, Zhao Bao and Sandra E. Wiley and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Jack E. Dixon

344 papers receiving 34.9k citations

Hit Papers

The Tumor Suppressor, PTEN/MMAC1, Dephosphorylates the Li... 1995 2026 2005 2015 1998 2004 1999 2000 2012 500 1000 1.5k 2.0k 2.5k

Peers

Jack E. Dixon
Comparison fields: 5 of 173
  • Molecular Biology 24.8k
  • Cell Biology 5.1k
  • Immunology 4.8k
  • Genetics 4.3k
  • Cellular and Molecular Neuroscience 3.9k
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Citations per field, relative to Jack E. Dixon
Jack E. Dixon · 1×
Citations per year, relative to Jack E. Dixon
Jack E. Dixon · 1×

Countries citing papers authored by Jack E. Dixon

Since Specialization
Citations

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

Fields of papers citing papers by Jack E. Dixon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jack E. Dixon. 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 Jack E. Dixon. The network helps show where Jack E. Dixon may publish in the future.

Co-authorship network of co-authors of Jack E. Dixon

This figure shows the co-authorship network connecting the top 25 collaborators of Jack E. Dixon. A scholar is included among the top collaborators of Jack E. Dixon 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 Jack E. Dixon. Jack E. Dixon 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 0
2 1
3 50
4 197
5 88
6 440
7
Secreted Kinase Phosphorylates Extracellular Proteins That Regulate Biomineralization breakdown →
371
8 169
9 140
10 246
11 132
12 188
13 11
14 455
15 232
16 46
17 10
18 28
19 5
20 6

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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