Peta Wood

674 citations
13 papers · 600 indexed · h-index 12
Topics
S100 Proteins and Annexins (5 papers)Cholesterol and Lipid Metabolism (3 papers)Protein Kinase Regulation and GTPase Signaling (3 papers)
Partner nations
AustraliaSpainGermany

In The Last Decade

Peta Wood

13 papers receiving 596 citations

Peers

Peta Wood
Comparison fields: 5 of 70
  • Molecular Biology 464
  • Cancer Research 138
  • Cell Biology 117
  • Surgery 83
  • Physiology 80
Replace Meritxell Reverter with:
Meritxell Reverter Australia
Pushpankur Ghoshal United States
Anna Álvarez-Guaita Spain
Franz M. Hess Germany
Ami Tamir Israel
Chandra Childress United States
Masami Nagata Japan
Carson A. Wills United States
Azusa Yoneshige Japan
M E Cornet Spain
Peta Wood relative to Meritxell Reverter Australia Meritxell Reverter's profile →
Citations per field
00.5×1.5×
Meritxell Reverter · 1×
Citations per year

Countries citing papers authored by Peta Wood

Since Specialization
Citations

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

Fields of papers citing papers by Peta Wood

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peta Wood. 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 Peta Wood. The network helps show where Peta Wood may publish in the future.

Co-authorship network of co-authors of Peta Wood

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 15
2
Cholesterol regulates Syntaxin 6 trafficking at the TGN-endosomal boundaries
95
3 36
4 61
5 20
6 63
7 16
8 85
9 63
10 11
11 100
12 34
13
Human Schwann Cell Grafting into the Retina of the Dystrophic RCS Rat Limits Anatomical and Functional Deterioration
1

About Peta Wood

Peta Wood is a scholar working on Developmental Neuroscience, Physiology and Molecular Biology, having authored 13 papers that have together received 600 indexed citations. Recurring topics across this work include S100 Proteins and Annexins (5 papers), Cholesterol and Lipid Metabolism (3 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). The work is most often cited by research in Cancer Research (138 citations), Immunology and Allergy (50 citations) and Cell Biology (117 citations). Peta Wood has collaborated with scholars based in Australia, Spain and Germany. Frequent co-authors include Thomas Grewal, Carlos Enrich, Sandra Vilà de Muga, Carles Rentero, Meritxell Reverter, Francesc Tebar, Vishwaroop Mulay, Albert Pol, Katia Monastyrskaya and Rose Cairns. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and Oncogene.

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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