Raymond Wu

2.5k citations
24 papers · 1.9k indexed · 1 hit paper · h-index 17
Topics
Liver Disease Diagnosis and Treatment (6 papers)Pancreatic function and diabetes (5 papers)Diabetes and associated disorders (4 papers)
Partner nations
United StatesJapanChina

In The Last Decade

Raymond Wu

24 papers receiving 1.9k citations

Hit Papers

Target identification using drug affinity responsive targ...20092026201420202009250500750

Peers

Raymond Wu
Comparison fields: 5 of 105
  • Molecular Biology 1.1k
  • Epidemiology 416
  • Cancer Research 226
  • Pathology and Forensic Medicine 184
  • Immunology 182
Replace Mariam Aghajan with:
Mariam Aghajan United States
Nam Doo Kim South Korea
David G. Breckenridge United States
Cristin M. Galardi United States
Julián Carretero Spain
Emeric Limagne France
Satyanarayana Ande United States
Yue Chen China
Xiaofei Zhu China
Yoshihiro Shidoji Japan
Raymond Wu relative to Mariam Aghajan United States Mariam Aghajan's profile →
Citations per field
00.5×1.5×2.1×
Mariam Aghajan · 1×
Citations per year

Countries citing papers authored by Raymond Wu

Since Specialization
Citations

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

Fields of papers citing papers by Raymond Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raymond Wu

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 20
2 1
3 77
4 46
5 11
6 21
7 66
8 137
9 179
10 21
11 1
12 80
13
Double-positive CD4(+)CD8(+) Sézary syndrome: an unusual phenotype with an aggressive clinical course.
6
14 91
15 106
16
Target identification using drug affinity responsive target stability (DARTS)breakdown →
785
17 43
18 8
19 16
20 58

About Raymond Wu

Raymond Wu is a scholar working on Aging, Hepatology and Toxicology, having authored 24 papers that have together received 1.9k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (6 papers), Pancreatic function and diabetes (5 papers) and Diabetes and associated disorders (4 papers). The work is most often cited by research in Hepatology (145 citations), Molecular Biology (1.1k citations) and Cancer Research (226 citations). Raymond Wu has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Hidekazu Tsukamoto, Jing Huang, Jianing Wang, Jon Clardy, Thomas M. Vondriska, Brett Lomenick, Fernando Gómez, Mariam Aghajan, Catherine F. Clarke and Joseph A. Loo. Their work appears in journals such as Proceedings of the National Academy of Sciences, Blood and Gastroenterology.

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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