Steven Wu

33 total papers · 982 total citations
21 papers, 560 citations indexed

About

Steven Wu is a scholar working on Molecular Biology, Genetics and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Steven Wu has authored 21 papers receiving a total of 560 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Genetics and 4 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Steven Wu's work include Pregnancy and preeclampsia studies (4 papers), Mycorrhizal Fungi and Plant Interactions (4 papers) and Evolution and Genetic Dynamics (4 papers). Steven Wu is often cited by papers focused on Pregnancy and preeclampsia studies (4 papers), Mycorrhizal Fungi and Plant Interactions (4 papers) and Evolution and Genetic Dynamics (4 papers). Steven Wu collaborates with scholars based in United States, New Zealand and United Kingdom. Steven Wu's co-authors include Allen G. Rodrigo, Robyn A. North, Michael A. Black, Jeet Sukumaran, Garth J. S. Cooper, Marion Blumenstein, Lesley McCowan, Rytas Vilgalys, Julio M. Araújo‐Flores and Ferrán García‐Pichel and has published in prestigious journals such as Bioinformatics, Journal of Virology and New Phytologist.

In The Last Decade

Steven Wu

21 papers receiving 553 citations

Author Peers

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

Author Last Decade Papers Cites
Steven Wu 179 114 109 79 76 21 560
Marie Denis 98 0.5× 97 0.9× 290 2.7× 111 1.4× 89 1.2× 38 665
Itzick Vatnick 29 0.2× 126 1.1× 50 0.5× 95 1.2× 161 2.1× 25 534
Utz Mueller 175 1.0× 77 0.7× 21 0.2× 33 0.4× 230 3.0× 28 691
Yael Weiss 241 1.3× 88 0.8× 27 0.2× 46 0.6× 121 1.6× 17 628
P.J. Buttery 153 0.9× 61 0.5× 27 0.2× 43 0.5× 202 2.7× 20 597
Thomas W. Simmons 140 0.8× 9 0.1× 57 0.5× 46 0.6× 55 0.7× 27 583
Denis Flipo 177 1.0× 97 0.9× 58 0.5× 32 0.4× 28 0.4× 22 579
Lin-zhi Zhuang 160 0.9× 111 1.0× 38 0.3× 11 0.1× 44 0.6× 15 609
Steve D. Holmes 165 0.9× 17 0.1× 34 0.3× 77 1.0× 13 0.2× 32 635
Abdelbary Prince 154 0.9× 16 0.1× 71 0.7× 68 0.9× 13 0.2× 37 524

Countries citing papers authored by Steven Wu

Since Specialization
Citations

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

Fields of papers citing papers by Steven Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steven Wu

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026