Leo Wu

3.2k total citations
2 papers, 49 citations indexed

About

Leo Wu is a scholar working on Endocrinology, Molecular Biology and Ecology. According to data from OpenAlex, Leo Wu has authored 2 papers receiving a total of 49 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Endocrinology, 1 paper in Molecular Biology and 1 paper in Ecology. Recurrent topics in Leo Wu's work include Vibrio bacteria research studies (2 papers), Microbial Community Ecology and Physiology (1 paper) and Coastal wetland ecosystem dynamics (1 paper). Leo Wu is often cited by papers focused on Vibrio bacteria research studies (2 papers), Microbial Community Ecology and Physiology (1 paper) and Coastal wetland ecosystem dynamics (1 paper). Leo Wu collaborates with scholars based in United States and Switzerland. Leo Wu's co-authors include Edward G. Ruby, Tara Essock‐Burns, Margaret McFall‐Ngai, Silvia Moriano‐Gutierrez and Clotilde Bongrand and has published in prestigious journals such as PLoS Biology and Microbiome.

In The Last Decade

Leo Wu

2 papers receiving 48 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Leo Wu United States 2 29 15 8 8 8 2 49
Michelle Strickland United Kingdom 4 20 0.7× 5 0.3× 6 0.8× 8 1.0× 4 0.5× 6 45
Peter Meric United States 2 39 1.3× 11 0.7× 5 0.6× 3 0.4× 2 0.3× 2 73
Chunbai Zhang China 3 15 0.5× 18 1.2× 1 0.1× 4 0.5× 5 0.6× 4 98
Claire Griffin United Kingdom 4 21 0.7× 28 1.9× 2 0.3× 9 1.1× 4 60
Harold Kirby United States 3 20 0.7× 14 0.9× 7 0.9× 3 0.4× 5 42
Stephanie van Wyk South Africa 6 68 2.3× 23 1.5× 4 0.5× 4 0.5× 7 0.9× 16 148
Sandra Dérozier France 6 56 1.9× 21 1.4× 1 0.1× 6 0.8× 5 0.6× 9 82
Jai S. Bolton United Kingdom 3 37 1.3× 5 0.3× 2 0.3× 1 0.1× 7 0.9× 3 57
Anthony S. Rogers United Kingdom 3 52 1.8× 3 0.2× 4 0.5× 6 0.8× 3 89

Countries citing papers authored by Leo Wu

Since Specialization
Citations

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

Fields of papers citing papers by Leo Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leo Wu

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

All Works

2 of 2 papers shown
1.
Essock‐Burns, Tara, et al.. (2023). Maturation state of colonization sites promotes symbiotic resiliency in the Euprymna scolopes-Vibrio fischeri partnership. Microbiome. 11(1). 68–68. 7 indexed citations
2.
Moriano‐Gutierrez, Silvia, Clotilde Bongrand, Tara Essock‐Burns, et al.. (2020). The noncoding small RNA SsrA is released by Vibrio fischeri and modulates critical host responses. PLoS Biology. 18(11). e3000934–e3000934. 42 indexed citations

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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