John J. Moskow

2.6k citations
14 papers · 1.8k indexed · h-index 13
Topics
Fungal and yeast genetics research (4 papers)Protein Kinase Regulation and GTPase Signaling (3 papers)Genomics and Chromatin Dynamics (3 papers)
Partner nations
United StatesJapan

In The Last Decade

John J. Moskow

14 papers receiving 1.8k citations

Peers

John J. Moskow
Comparison fields: 5 of 79
  • Molecular Biology 1.3k
  • Cell Biology 472
  • Genetics 307
  • Cellular and Molecular Neuroscience 292
  • Pathology and Forensic Medicine 130
Replace Heide Hellebrand with:
Heide Hellebrand Germany
Christophe Houbron France
Pilar Esteve Spain
R.L. Eddy United States
Laura Wagstaff United Kingdom
Heinrich Schrewe Germany
Kristina Vintersten Germany
Cynthia Zerillo United States
Hiroto Yamazaki Japan
Michael Lindenbaum Canada
John J. Moskow relative to Heide Hellebrand Germany Heide Hellebrand's profile →
Citations per field
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Heide Hellebrand · 1×
Citations per year

Countries citing papers authored by John J. Moskow

Since Specialization
Citations

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

Fields of papers citing papers by John J. Moskow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John J. Moskow

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

All Works

14 of 14 papers shown
#WorkIndexed citations
1 47
2 166
3 137
4 66
5 52
6 225
7 1
8 226
9
The cloning of Grb10 reveals a new family of SH2 domain proteins.
120
10 12
11 269
12 206
13 247
14 16

About John J. Moskow

John J. Moskow is a scholar working on Cell Biology, Molecular Biology and Neurology, having authored 14 papers that have together received 1.8k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (4 papers), Protein Kinase Regulation and GTPase Signaling (3 papers) and Genomics and Chromatin Dynamics (3 papers). The work is most often cited by research in Cell Biology (472 citations), Molecular Biology (1.3k citations) and Cellular and Molecular Neuroscience (292 citations). John J. Moskow has collaborated with scholars based in United States and Japan. Frequent co-authors include Arthur M. Buchberg, Daniel J. Lew, Kay Huebner, Florencia Bullrich, Ira Daar, Amy S. Gladfelter, Trevin R. Zyla, Vijay Yajnik, Ben Margolis and H. Jeffrey Lawrence. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Cell 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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