Jennifer Woo
- Oncology
- Pulmonary and Respiratory Medicine
- Cancer Research
- Artificial Intelligence
- Pathology and Forensic Medicine
- Co-authors
- Limei SunNaomi MillerRama KhokhaTong LiLisa MartinNorman F. BoydTrudey NickleeMing‐Sound Tsao
- Topics
- Vitamin D Research Studies (9 papers)Maternal Mental Health During Pregnancy and Postpartum (4 papers)Pregnancy and Medication Impact (4 papers)
- Journals
- International Journal of Molecular SciencesNutrientsCancer Epidemiology Biomarkers & Prevention
- Partner nations
- United StatesCanadaCyprus
In The Last Decade
Jennifer Woo
20 papers receiving 348 citations
Peers
Comparison fields: 5 of 63
- Oncology 136
- Pulmonary and Respiratory Medicine 122
- Cancer Research 91
- Artificial Intelligence 80
- Pathology and Forensic Medicine 64
Countries citing papers authored by Jennifer Woo
This map shows the geographic impact of Jennifer Woo'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 Jennifer Woo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer Woo more than expected).
Fields of papers citing papers by Jennifer Woo
This network shows the impact of papers produced by Jennifer Woo. 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 Jennifer Woo. The network helps show where Jennifer Woo may publish in the future.
Co-authorship network of co-authors of Jennifer Woo
This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Woo. A scholar is included among the top collaborators of Jennifer Woo 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 Jennifer Woo. Jennifer Woo 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 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 8 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 11 | |
| 10 | 9 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | 5 | |
| 14 | 2 | |
| 15 | 11 | |
| 16 | 4 | |
| 17 | 2 | |
| 18 | What Is the Relationship between Vitamin D Status, Pregnancy Symptoms and Quality of Life? | 1 |
| 19 | 257 | |
| 20 | 1 |
About Jennifer Woo
Jennifer Woo is a scholar working on Obstetrics and Gynecology, Pathology and Forensic Medicine and Public Health, Environmental and Occupational Health, having authored 22 papers that have together received 356 indexed citations. Recurring topics across this work include Vitamin D Research Studies (9 papers), Maternal Mental Health During Pregnancy and Postpartum (4 papers) and Pregnancy and Medication Impact (4 papers). The work is most often cited by research in Cancer Research (91 citations), Oncology (136 citations) and Pulmonary and Respiratory Medicine (122 citations). Jennifer Woo has collaborated with scholars based in United States, Canada and Cyprus. Frequent co-authors include Limei Sun, Naomi Miller, Rama Khokha, Tong Li, Lisa Martin, Norman F. Boyd, Trudey Nicklee, Ming‐Sound Tsao, Carmen Giurgescu and Carol L. Wagner. Their work appears in journals such as International Journal of Molecular Sciences, Nutrients and Cancer Epidemiology Biomarkers & Prevention.
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.