Clara Sze-Man Tang
- Surgery top 10%
- Genetics top 10%
- Molecular Biology
- Pulmonary and Respiratory Medicine
- Hepatology top 10%
- Co-authors
- Pak C. ShamPaul Kwong‐Hang TamManuel A. R. FerreiraStacey S. ChernyMaría-Mercé García-BarcelóMan‐Ting SoPaul Kwong Hang TamBhy Chung
- Topics
- Congenital gastrointestinal and neural anomalies (17 papers)Congenital Anomalies and Fetal Surgery (11 papers)Pediatric Hepatobiliary Diseases and Treatments (9 papers)
- Cited by
- GeneticsHepatologySurgery
- Journals
- Nucleic Acids ResearchSHILAP Revista de lepidopterologíaBioinformatics
- Partner nations
- Hong KongChinaUnited Kingdom
In The Last Decade
Clara Sze-Man Tang
56 papers receiving 840 citations
Hit Papers
Peers
Comparison fields: 5 of 77
- Surgery 398
- Genetics 272
- Molecular Biology 243
- Pulmonary and Respiratory Medicine 94
- Hepatology 74
Countries citing papers authored by Clara Sze-Man Tang
This map shows the geographic impact of Clara Sze-Man Tang'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 Clara Sze-Man Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clara Sze-Man Tang more than expected).
Fields of papers citing papers by Clara Sze-Man Tang
This network shows the impact of papers produced by Clara Sze-Man Tang. 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 Clara Sze-Man Tang. The network helps show where Clara Sze-Man Tang may publish in the future.
Co-authorship network of co-authors of Clara Sze-Man Tang
This figure shows the co-authorship network connecting the top 25 collaborators of Clara Sze-Man Tang. A scholar is included among the top collaborators of Clara Sze-Man Tang 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 Clara Sze-Man Tang. Clara Sze-Man Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 13 | |
| 7 | 5 | |
| 8 | 11 | |
| 9 | 5 | |
| 10 | 11 | |
| 11 | 45 | |
| 12 | 12 | |
| 13 | 15 | |
| 14 | 18 | |
| 15 | 6 | |
| 16 | 13 | |
| 17 | 1 | |
| 18 | 20 | |
| 19 | 36 | |
| 20 | 17 |
About Clara Sze-Man Tang
Clara Sze-Man Tang is a scholar working on Genetics, Surgery and Gastroenterology, having authored 59 papers that have together received 844 indexed citations. Recurring topics across this work include Congenital gastrointestinal and neural anomalies (17 papers), Congenital Anomalies and Fetal Surgery (11 papers) and Pediatric Hepatobiliary Diseases and Treatments (9 papers). The work is most often cited by research in Genetics (272 citations), Hepatology (74 citations) and Surgery (398 citations). Clara Sze-Man Tang has collaborated with scholars based in Hong Kong, China and United Kingdom. Frequent co-authors include Pak C. Sham, Paul Kwong‐Hang Tam, Manuel A. R. Ferreira, Stacey S. Cherny, María-Mercé García-Barceló, Man‐Ting So, Paul Kwong Hang Tam, Bhy Chung, Richard J. Epstein and Cheng‐Chung Wu. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.
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.