Steven Wu

21 papers receiving 560 citations

Peers

Steven Wu
Comparison fields: 5 of 100
  • Obstetrics and Gynecology 114
  • Microbiology 5
  • Insect Science 56
  • Health, Toxicology and Mutagenesis 57
  • Pediatrics, Perinatology and Child Health 76
Replace Graciela M. Panzetta‐Dutari with:
Graciela M. Panzetta‐Dutari Argentina
Sandro Sacchi Italy
Qibin Yang China
William R. Boone United States
Thomas Brüls France
Marlène Fortier Canada
H. Rodriguez Argentina
Xinxin Ma China
F.N. Dulout Argentina
Alison K Ward United States
Steven Wu relative to Graciela M. Panzetta‐Dutari Argentina Graciela M. Panzetta‐Dutari's profile →
Citations per field
00.5×1.6×
Graciela M. Panzetta‐Dutari · 1×
Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200980
2 201874
3 201264
4 201956
5 201948
6 200847
7 201543
8 201736
9 201634
10 201019
11 201712
12 200912
13 20189
14 20129
15 20229
16 20216
17 20134
18 20122
19 20241
20 20121

About Steven Wu

Steven Wu is a scholar working on Molecular Biology, Genetics, Pediatrics, Perinatology and Child Health, Ecology and Obstetrics and Gynecology, having authored 21 papers that have together received 567 indexed citations. Recurring topics across this work include Birth, Development, and Health (4 papers), Pregnancy and preeclampsia studies (4 papers), Evolution and Genetic Dynamics (4 papers), Mycorrhizal Fungi and Plant Interactions (4 papers), Plant Pathogens and Fungal Diseases (3 papers), Bacteriophages and microbial interactions (2 papers), Gut microbiota and health (2 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Obstetrics and Gynecology (114 citations), Microbiology (5 citations), Insect Science (56 citations), Health, Toxicology and Mutagenesis (57 citations) and Pediatrics, Perinatology and Child Health (76 citations). Steven Wu has collaborated with scholars based in United States, New Zealand and United Kingdom. Frequent co-authors include Allen G. Rodrigo, Robyn A. North, Jeet Sukumaran, Michael A. Black, Marion Blumenstein, Garth J. S. Cooper, Lesley McCowan, Rytas Vilgalys, Julio M. Araújo‐Flores and Janine M. Cooney. Their work appears in journals such as Bioinformatics, PLoS Computational Biology, Molecular Plant-Microbe Interactions, Molecular Genetics and Metabolism and Genome Biology and Evolution.

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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