Shaoguang Wu
- Molecular Biology top 2%
- Oncology top 2%
- Infectious Diseases top 1%
- Surgery top 5%
- Epidemiology top 5%
- Co-authors
- Cynthia L. SearsDavid L. HusoXinqun WuFranck HousseauDrew M. PardollShervin RabizadehKi‐Jong RheeEmilia Albesiano
- Topics
- Gut microbiota and health (17 papers)Clostridium difficile and Clostridium perfringens research (17 papers)Mycobacterium research and diagnosis (8 papers)
- Partner nations
- United StatesNetherlandsSouth Korea
In The Last Decade
Shaoguang Wu
51 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Molecular Biology 3.6k
- Oncology 1.6k
- Infectious Diseases 1.3k
- Surgery 778
- Epidemiology 741
Countries citing papers authored by Shaoguang Wu
This map shows the geographic impact of Shaoguang 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 Shaoguang Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaoguang Wu more than expected).
Fields of papers citing papers by Shaoguang Wu
This network shows the impact of papers produced by Shaoguang 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 Shaoguang Wu. The network helps show where Shaoguang Wu may publish in the future.
Co-authorship network of co-authors of Shaoguang Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Shaoguang Wu. A scholar is included among the top collaborators of Shaoguang 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 Shaoguang Wu. Shaoguang Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 23 | |
| 3 | A Procarcinogenic Colon Microbe Promotes Breast Tumorigenesis and Metastatic Progression and Concomitantly Activates Notch and β-Catenin Axesbreakdown → | 176 |
| 4 | 13 | |
| 5 | 31 | |
| 6 | 36 | |
| 7 | 13 | |
| 8 | Patients with familial adenomatous polyposis harbor colonic biofilms containing tumorigenic bacteriabreakdown → | 782 |
| 9 | 79 | |
| 10 | 102 | |
| 11 | 28 | |
| 12 | 157 | |
| 13 | 142 | |
| 14 | 19 | |
| 15 | Induction of spermine oxidase by enterotoxigenic Bacteroides fragilis in colon models results in DNA damage | 3 |
| 16 | 114 | |
| 17 | Efficacy of Bacillus coagulans tablets in the treatment of acute and chronic diarrhea | 2 |
| 18 | 24 | |
| 19 | 24 | |
| 20 | 22 |
About Shaoguang Wu
Shaoguang Wu is a scholar working on Endocrinology, Clinical Biochemistry and Infectious Diseases, having authored 54 papers that have together received 5.4k indexed citations. Recurring topics across this work include Gut microbiota and health (17 papers), Clostridium difficile and Clostridium perfringens research (17 papers) and Mycobacterium research and diagnosis (8 papers). The work is most often cited by research in Infectious Diseases (1.3k citations), Endocrinology (367 citations) and Oncology (1.6k citations). Shaoguang Wu has collaborated with scholars based in United States, Netherlands and South Korea. Frequent co-authors include Cynthia L. Sears, David L. Huso, Xinqun Wu, Franck Housseau, Drew M. Pardoll, Shervin Rabizadeh, Ki‐Jong Rhee, Emilia Albesiano, Florencia McAllister and Elizabeth Wick. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.
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.