Su Wu

1.6k total citations · 1 hit paper
12 papers, 1.3k citations indexed

About

Su Wu is a scholar working on Physiology, Surgery and Molecular Biology. According to data from OpenAlex, Su Wu has authored 12 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Physiology, 4 papers in Surgery and 3 papers in Molecular Biology. Recurrent topics in Su Wu's work include Alzheimer's disease research and treatments (6 papers), Computational Drug Discovery Methods (2 papers) and Musculoskeletal synovial abnormalities and treatments (2 papers). Su Wu is often cited by papers focused on Alzheimer's disease research and treatments (6 papers), Computational Drug Discovery Methods (2 papers) and Musculoskeletal synovial abnormalities and treatments (2 papers). Su Wu collaborates with scholars based in United States, Hong Kong and China. Su Wu's co-authors include Steven M. Paul, Kelly R. Bales, Cynthia DeLong, Kimberley S. Gannon, Xin Wu, Jean‐Cosme Dodart, Ronald B. DeMattos, Stephen J. Greene, Chantal Mathis and David M. Holtzman and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and Nature Neuroscience.

In The Last Decade

Su Wu

12 papers receiving 1.3k citations

Hit Papers

Immunization reverses memory deficits without reducing br... 2002 2026 2010 2018 2002 200 400 600

Peers

Su Wu
Comparison fields: 5 of 65
  • Physiology 1.1k
  • Neurology 417
  • Molecular Biology 397
  • Pharmacology 360
  • Cellular and Molecular Neuroscience 335
Replace Cynthia DeLong with:
Cynthia DeLong United States
Karen Khan United States
Katherine R. Sadleir United States
Allal Boutajangout United States
Hahn-Jun Lee Japan
Vicki Betts Ireland
Zehra Yilmaz Belgium
Kristina Lindholm United States
Frédérique Bard United States
Misaki Sekiguchi Japan
Cynthia DeLong United States View profile →
Citations per field, relative to Su Wu
Su Wu · 1×
Citations per year, relative to Su Wu
Su Wu · 1×

Countries citing papers authored by Su Wu

Since Specialization
Citations

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

Fields of papers citing papers by Su Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Su Wu

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

All Works

12 of 12 papers shown
# Work Indexed citations
1 1
2 1
3 3
4 5
5 38
6 3
7 1
8 269
9 223
10
Immunization reverses memory deficits without reducing brain Aβ burden in Alzheimer's disease model breakdown →
705
11 9
12 27

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