Evera Wong

8 total papers · 473 total citations
3 papers, 193 citations indexed

About

Evera Wong is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems. According to data from OpenAlex, Evera Wong has authored 3 papers receiving a total of 193 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 1 paper in Cellular and Molecular Neuroscience and 1 paper in Endocrine and Autonomic Systems. Recurrent topics in Evera Wong's work include Ion channel regulation and function (2 papers), Connexins and lens biology (2 papers) and Nicotinic Acetylcholine Receptors Study (2 papers). Evera Wong is often cited by papers focused on Ion channel regulation and function (2 papers), Connexins and lens biology (2 papers) and Nicotinic Acetylcholine Receptors Study (2 papers). Evera Wong collaborates with scholars based in France. Evera Wong's co-authors include David H. Hackos, Michelle Dourado, Yvonne Franke, Alberto Estevez, Christine Kugel, Jun Chen, Hui Xu, Tianbo Li, Claudio Ciferri and Alexis Rohou and has published in prestigious journals such as Cell, PLoS ONE and Neuropharmacology.

In The Last Decade

Evera Wong

3 papers receiving 188 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Evera Wong 169 77 26 25 19 3 193
Teresa M. Swanson 213 1.3× 109 1.4× 13 0.5× 60 2.4× 19 1.0× 3 282
Atsuhiro Tomita 200 1.2× 47 0.6× 20 0.8× 9 0.4× 13 0.7× 8 258
Andrew M. Natale 176 1.0× 52 0.7× 26 1.0× 34 1.4× 45 2.4× 8 216
Rick Welch 214 1.3× 35 0.5× 9 0.3× 11 0.4× 22 1.2× 3 279
Klaudia Giehl 195 1.2× 36 0.5× 17 0.7× 57 2.3× 17 0.9× 4 271
Susanna Talarico 241 1.4× 60 0.8× 9 0.3× 26 1.0× 9 0.5× 6 288
Federica Gasparri 210 1.2× 45 0.6× 9 0.3× 22 0.9× 5 0.3× 5 234
Theresa Scattergood 115 0.7× 100 1.3× 51 2.0× 21 0.8× 12 0.6× 7 218
Christina Satterwhite 166 1.0× 60 0.8× 4 0.2× 72 2.9× 31 1.6× 5 217
R. Oliver Goral 194 1.1× 150 1.9× 19 0.7× 17 0.7× 62 3.3× 8 254

Countries citing papers authored by Evera Wong

Since Specialization
Citations

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

Fields of papers citing papers by Evera Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Evera Wong

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

All Works

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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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