Samuel Wu

4.7k citations
26 papers · 1.3k · h-index 16

Impact in

Papers in

    • Biochemical and Structural Characterization 4
    • RNA and protein synthesis mechanisms 4
    • Retinal Development and Disorders 2
    • Bacterial biofilms and quorum sensing 2
    • Bacterial Genetics and Biotechnology 6

Samuel Wu

24 papers receiving 1.3k citations

Peers

Samuel Wu
Comparison fields: 5 of 106
  • Genetics 556
  • Endocrinology 94
  • Molecular Biology 825
  • Obstetrics and Gynecology 80
  • Ecology 224
Replace Wolfram Brune with:
Wolfram Brune Germany
Sanjeev Khosla India
Mélanie Bonhivers France
Gemma Serrano‐Heras Spain
V M Irikura United States
Hideo Gotoh Japan
Bruno Baron France
Anne Mølgaard Denmark
Jianqiang Shao United States
Patricia P. Wilkins United States
Samuel Wu relative to Wolfram Brune Germany Wolfram Brune's profile →
Citations per field
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Wolfram Brune · 1×
Citations per year

Countries citing papers authored by Samuel Wu

Since Specialization
Citations

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

Fields of papers citing papers by Samuel Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995242
2 1997175
3 1997164
4 1988128
5 1996102
6 200867
7 201760
8 199860
9 200655
10 199855
11 200641
12
Photosensitization by 3,3'-dihexyloxacarbocyanine iodide: specific disruption of microtubules and inactivation of organelle motility.
199541
13 200525
14 202323
15 200922
16 200917
17 201415
18 200412
19 200811
20 20166

About Samuel Wu

Samuel Wu is a scholar working on Molecular Biology, Genetics, Pulmonary and Respiratory Medicine, Infectious Diseases and Epidemiology, having authored 26 papers that have together received 1.3k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (6 papers), Biochemical and Structural Characterization (4 papers), RNA and protein synthesis mechanisms (4 papers), HIV/AIDS Research and Interventions (2 papers), Retinal Development and Disorders (2 papers), Respiratory viral infections research (2 papers), Bacterial biofilms and quorum sensing (2 papers) and Bacteriophages and microbial interactions (2 papers). The work is most often cited by research in Genetics (556 citations), Endocrinology (94 citations), Molecular Biology (825 citations), Obstetrics and Gynecology (80 citations) and Ecology (224 citations). Samuel Wu has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Dale Kaiser, D Kaiser, Jie Wu, Harvey J. Kliman, S Caltabiano, Jerome F. Strauss, Lee-Chuan Kao, Daniel Wall, Lan Bo Chen and Christopher Lee. Their work appears in journals such as Journal of Bacteriology, Molecular Microbiology, Science Advances, Bioinformatics and Journal of Virology.

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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