Amber Wilson

497 citations
11 papers · 408 · h-index 9

Impact in

Papers in

    • ATP Synthase and ATPases Research 2
    • Mitochondrial Function and Pathology 2
    • Angiogenesis and VEGF in Cancer 1
    • Ubiquitin and proteasome pathways 1
    • Chromosomal and Genetic Variations 1

Amber Wilson

11 papers receiving 399 citations

Peers

Amber Wilson
Comparison fields: 5 of 78
  • Genetics 54
  • Cancer Research 63
  • Molecular Biology 250
  • Immunology 46
  • Developmental Neuroscience 7
Replace Darren Qiancheng Tan with:
Darren Qiancheng Tan Singapore
Abhinav Dey United States
Mai-Huong Nguyen United States
Luca D’Agostino Italy
Yeon Sung Son South Korea
Fabienne Bejjani France
Wanda Renaud France
John Irving United States
Beth Walters United States
Alexandra Charruyer United States
Amber Wilson relative to Darren Qiancheng Tan Singapore Darren Qiancheng Tan's profile →
Citations per field
00.5×11×
Darren Qiancheng Tan · 1×
Citations per year

Countries citing papers authored by Amber Wilson

Since Specialization
Citations

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

Fields of papers citing papers by Amber Wilson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Amber Wilson, 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 Amber Wilson Line = papers co-authored together Amber Wilson links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2010111
2 200655
3 200553
4 199650
5 201040
6 200634
7 200727
8 202219
9 20199
10 20237
11 20253

About Amber Wilson

Amber Wilson is a scholar working on Molecular Biology, Plant Science, Cancer Research, Surgery and Pharmacology, having authored 11 papers that have together received 408 indexed citations. Recurring topics across this work include ATP Synthase and ATPases Research (2 papers), Mitochondrial Function and Pathology (2 papers), Angiogenesis and VEGF in Cancer (1 paper), Ubiquitin and proteasome pathways (1 paper), Electrospun Nanofibers in Biomedical Applications (1 paper), Immunotherapy and Immune Responses (1 paper), Vibrio bacteria research studies (1 paper) and Chromosomal and Genetic Variations (1 paper). The work is most often cited by research in Genetics (54 citations), Cancer Research (63 citations), Molecular Biology (250 citations), Immunology (46 citations) and Developmental Neuroscience (7 citations). Amber Wilson has collaborated with scholars based in United States, United Kingdom and Iraq. Frequent co-authors include Keith A. Webster, Hong Yu, Lina A. Shehadeh, Regina M. Graham, Nanette H. Bishopric, Donna P. Frazier, John W. Thompson, Maria-Grazia Spiga, Nicolas Hall and Matthew J. Gounis. Their work appears in journals such as Antioxidants and Redox Signaling, Nature Communications, American Journal of Physiology-Heart and Circulatory Physiology, Biochemical and Biophysical Research Communications and BMC Pregnancy and Childbirth.

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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