Linda Wu
- Public Health, Environmental and Occupational Health top 2%
- Pediatrics, Perinatology and Child Health top 2%
- Molecular Biology
- Reproductive Medicine top 1%
- Genetics top 10%
- Co-authors
- Rebecca L. RobkerRobert J. NormanDarryl L. RussellXing YangMichelle LaneKylie R. DunningMiaoxin ChenSiew L. Wong
- Topics
- Birth, Development, and Health (13 papers)Reproductive Biology and Fertility (11 papers)Diabetes and associated disorders (5 papers)
- Cited by
- Reproductive MedicinePediatrics, Perinatology and Child HealthPublic Health, Environmental and Occupational Health
- Partner nations
- AustraliaChinaUnited States
In The Last Decade
Linda Wu
39 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 102
- Public Health, Environmental and Occupational Health 720
- Pediatrics, Perinatology and Child Health 592
- Molecular Biology 538
- Reproductive Medicine 537
- Genetics 277
Countries citing papers authored by Linda Wu
This map shows the geographic impact of Linda 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 Linda Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linda Wu more than expected).
Fields of papers citing papers by Linda Wu
This network shows the impact of papers produced by Linda 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 Linda Wu. The network helps show where Linda Wu may publish in the future.
Co-authorship network of co-authors of Linda Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Linda Wu. A scholar is included among the top collaborators of Linda 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 Linda Wu. Linda 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 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 7 | |
| 7 | 29 | |
| 8 | 20 | |
| 9 | 27 | |
| 10 | 7 | |
| 11 | 1 | |
| 12 | 74 | |
| 13 | 38 | |
| 14 | 25 | |
| 15 | 8 | |
| 16 | 21 | |
| 17 | 16 | |
| 18 | 160 | |
| 19 | 115 | |
| 20 | 89 |
About Linda Wu
Linda Wu is a scholar working on Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology and Reproductive Medicine, having authored 46 papers that have together received 1.9k indexed citations. Recurring topics across this work include Birth, Development, and Health (13 papers), Reproductive Biology and Fertility (11 papers) and Diabetes and associated disorders (5 papers). The work is most often cited by research in Reproductive Medicine (537 citations), Pediatrics, Perinatology and Child Health (592 citations) and Public Health, Environmental and Occupational Health (720 citations). Linda Wu has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Rebecca L. Robker, Robert J. Norman, Darryl L. Russell, Xing Yang, Michelle Lane, Kylie R. Dunning, Xing Yang, Miaoxin Chen, Siew L. Wong and Ramendra Kundu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.
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.