Anthony J. Muslin

12.9k citations
90 papers · 7.8k indexed · 1 hit paper · h-index 40
Topics
14-3-3 protein interactions (21 papers)Protein Kinase Regulation and GTPase Signaling (18 papers)Ubiquitin and proteasome pathways (14 papers)
Partner nations
United StatesJapanBrazil

In The Last Decade

Anthony J. Muslin

90 papers receiving 7.6k citations

Hit Papers

Interaction of 14-3-3 with Signaling Proteins Is Mediated...199620262006201619962505007501000

Peers

Anthony J. Muslin
Comparison fields: 5 of 124
  • Molecular Biology 5.8k
  • Cardiology and Cardiovascular Medicine 1.3k
  • Cell Biology 1.0k
  • Oncology 701
  • Surgery 553
Replace Peter H. Sugden with:
Peter H. Sugden United Kingdom
Chris J. Vlahos United States
Shigeki Miyamoto United States
Tony Tiganis Australia
Tetsuo Moriguchi Japan
Emmanuel Van Obberghen France
David T. Dudley United States
Martin O. Bergö Sweden
Kenneth Siddle United Kingdom
Jean‐Claude Chambard France
Anthony J. Muslin relative to Peter H. Sugden United Kingdom Peter H. Sugden's profile →
Citations per field
00.5×1.5×2.3×
Peter H. Sugden · 1×
Citations per year

Countries citing papers authored by Anthony J. Muslin

Since Specialization
Citations

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

Fields of papers citing papers by Anthony J. Muslin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anthony J. Muslin

This figure shows the co-authorship network connecting the top 25 collaborators of Anthony J. Muslin. A scholar is included among the top collaborators of Anthony J. Muslin 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 Anthony J. Muslin. Anthony J. Muslin 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 63
2 24
3 47
4 81
5 20
6 443
7 38
8 43
9 25
10 175
11 103
12 85
13 24
14 46
15 60
16 26
17 22
18 179
19 3
20 32

About Anthony J. Muslin

Anthony J. Muslin is a scholar working on Aging, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 90 papers that have together received 7.8k indexed citations. Recurring topics across this work include 14-3-3 protein interactions (21 papers), Protein Kinase Regulation and GTPase Signaling (18 papers) and Ubiquitin and proteasome pathways (14 papers). The work is most often cited by research in Aging (165 citations), Molecular Biology (5.8k citations) and Cell Biology (1.0k citations). Anthony J. Muslin has collaborated with scholars based in United States, Japan and Brazil. Frequent co-authors include Andréy S. Shaw, Paul M. Allen, Lewis T. Williams, Angus M. MacNicol, Carla J. Weinheimer, Attila Kovács, Heming Xing, Wendy J. Fantl, Brian J. DeBosch and Michael Courtois. Their work appears in journals such as Nature, Science and Cell.

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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