Phillip C. Aoto

667 citations
19 papers · 402 · h-index 15

Impact in

    • Protein Structure and Dynamics
    • Protein Kinase Regulation and GTPase Signaling
    • Plant Gene Expression Analysis
    • Parkinson's Disease Mechanisms and Treatments

Papers in

    • Protein Structure and Dynamics 8
    • Protein Kinase Regulation and GTPase Signaling 3
    • Plant biochemistry and biosynthesis 3
    • Heat shock proteins research 2
    • Bioinformatics and Genomic Networks 2
    • Enzyme Structure and Function 7

Phillip C. Aoto

18 papers receiving 400 citations

Peers

Phillip C. Aoto
Comparison fields: 5 of 75
  • Molecular Biology 287
  • Neurology 53
  • Cell Biology 51
  • Computational Theory and Mathematics 48
  • Biophysics 14
Replace Theodoros K. Karamanos with:
Theodoros K. Karamanos United Kingdom
Karthikeyan Annamalai Germany
Kamil Tamiola Netherlands
Santiago Esteban‐Martín Spain
Nadia El Mammeri United States
Yaroslav Nikolaev Switzerland
Laura R. Ganser United States
Iva Pritišanac Canada
Cristina Olivieri United States
Jeremy Flinders United States
Phillip C. Aoto relative to Theodoros K. Karamanos United Kingdom Theodoros K. Karamanos's profile →
Citations per field
00.5×1.5×
Theodoros K. Karamanos · 1×
Citations per year

Countries citing papers authored by Phillip C. Aoto

Since Specialization
Citations

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

Fields of papers citing papers by Phillip C. Aoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Phillip C. Aoto. 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 Phillip C. Aoto. The network helps show where Phillip C. Aoto may publish in the future.

Co-authors

The 25 scholars most cited alongside Phillip C. Aoto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Phillip C. Aoto Line = papers co-authored together Phillip C. Aoto links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 201445
2 202142
3 201942
4 201934
5 201930
6 200727
7 201723
8 202021
9 201620
10 202218
11 202018
12 202217
13 201415
14 200814
15 202014
16 202212
17 20196
18 20054
19 20180

About Phillip C. Aoto

Phillip C. Aoto is a scholar working on Molecular Biology, Materials Chemistry, Computational Theory and Mathematics, Oncology and Neurology, having authored 19 papers that have together received 402 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (8 papers), Enzyme Structure and Function (7 papers), Computational Drug Discovery Methods (4 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Plant biochemistry and biosynthesis (3 papers), Heat shock proteins research (2 papers), Peptidase Inhibition and Analysis (2 papers) and Bioinformatics and Genomic Networks (2 papers). The work is most often cited by research in Molecular Biology (287 citations), Neurology (53 citations), Cell Biology (51 citations), Computational Theory and Mathematics (48 citations) and Biophysics (14 citations). Phillip C. Aoto has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Susan S. Taylor, Peter E. Wright, R. Bryn Fenwick, Lalima G. Ahuja, Gianluigi Veglia, Gerard Kroon, Jui‐Hung Weng, Alexandr P. Kornev, H. Jane Dyson and Christopher E. Sims. Their work appears in journals such as Proceedings of the National Academy of Sciences, Biochemistry, PLoS Biology, The FASEB Journal and Frontiers in Molecular Neuroscience.

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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