Lee-Jane W. Lu
- Pathology and Forensic Medicine top 5%
- Genetics
- Oncology
- Nutrition and Dietetics top 10%
- Endocrinology, Diabetes and Metabolism
- Co-authors
- Karl E. AndersonManubai NagamaniJames J. GradyYafei HuangMian-Ying WangDonald G. BrunderTuenchit KhamapiradNai-Wei Chen
- Topics
- Phytoestrogen effects and research (9 papers)Cancer Risks and Factors (6 papers)Fatty Acid Research and Health (3 papers)
- Journals
- Journal of Clinical InvestigationAmerican Journal of Clinical NutritionThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- United StatesVietnamIsrael
In The Last Decade
Lee-Jane W. Lu
20 papers receiving 490 citations
Peers
Comparison fields: 5 of 81
- Pathology and Forensic Medicine 246
- Genetics 101
- Oncology 100
- Nutrition and Dietetics 97
- Endocrinology, Diabetes and Metabolism 86
Countries citing papers authored by Lee-Jane W. Lu
This map shows the geographic impact of Lee-Jane W. Lu'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 Lee-Jane W. Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lee-Jane W. Lu more than expected).
Fields of papers citing papers by Lee-Jane W. Lu
This network shows the impact of papers produced by Lee-Jane W. Lu. 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 Lee-Jane W. Lu. The network helps show where Lee-Jane W. Lu may publish in the future.
Co-authorship network of co-authors of Lee-Jane W. Lu
This figure shows the co-authorship network connecting the top 25 collaborators of Lee-Jane W. Lu. A scholar is included among the top collaborators of Lee-Jane W. Lu 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 Lee-Jane W. Lu. Lee-Jane W. Lu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 15 | |
| 3 | 21 | |
| 4 | 20 | |
| 5 | 10 | |
| 6 | 27 | |
| 7 | 14 | |
| 8 | 11 | |
| 9 | 14 | |
| 10 | 13 | |
| 11 | 71 | |
| 12 | 41 | |
| 13 | 15 | |
| 14 | 110 | |
| 15 | 30 | |
| 16 | 6 | |
| 17 | 39 | |
| 18 | 26 | |
| 19 | 12 | |
| 20 | 8 |
About Lee-Jane W. Lu
Lee-Jane W. Lu is a scholar working on Pathology and Forensic Medicine, Cancer Research and Nutrition and Dietetics, having authored 20 papers that have together received 513 indexed citations. Recurring topics across this work include Phytoestrogen effects and research (9 papers), Cancer Risks and Factors (6 papers) and Fatty Acid Research and Health (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (246 citations), Nutrition and Dietetics (97 citations) and Biochemistry (31 citations). Lee-Jane W. Lu has collaborated with scholars based in United States, Vietnam and Israel. Frequent co-authors include Karl E. Anderson, Manubai Nagamani, James J. Grady, Yafei Huang, Mian-Ying Wang, Donald G. Brunder, Tuenchit Khamapirad, Nai-Wei Chen, Thomas K. Nishino and Ann B. Jones. Their work appears in journals such as Journal of Clinical Investigation, American Journal of Clinical Nutrition and The Journal of Clinical Endocrinology & Metabolism.
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.