Gene Lee
- Molecular Biology
- Pulmonary and Respiratory Medicine top 10%
- Surgery
- Anesthesiology and Pain Medicine top 5%
- Obstetrics and Gynecology top 5%
- Co-authors
- Tim CookJerry P. NolanOliver SmithiesHyung‐Suk KimNobuyo MaedaSimon W. M. JohnSue J. GoldieSun‐Young Kim
- Topics
- Pregnancy and preeclampsia studies (10 papers)Preterm Birth and Chorioamnionitis (10 papers)Pregnancy-related medical research (7 papers)
- Cited by
- Anesthesiology and Pain MedicineObstetrics and GynecologyPediatrics, Perinatology and Child Health
- Journals
- Proceedings of the National Academy of SciencesBiomaterialsThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- United StatesSouth KoreaPoland
In The Last Decade
Gene Lee
46 papers receiving 874 citations
Peers
Comparison fields: 5 of 108
- Molecular Biology 214
- Pulmonary and Respiratory Medicine 210
- Surgery 149
- Anesthesiology and Pain Medicine 147
- Obstetrics and Gynecology 131
Countries citing papers authored by Gene Lee
This map shows the geographic impact of Gene Lee'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 Gene Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gene Lee more than expected).
Fields of papers citing papers by Gene Lee
This network shows the impact of papers produced by Gene Lee. 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 Gene Lee. The network helps show where Gene Lee may publish in the future.
Co-authorship network of co-authors of Gene Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Gene Lee. A scholar is included among the top collaborators of Gene Lee 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 Gene Lee. Gene Lee 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 | 1 | |
| 4 | 29 | |
| 5 | 3 | |
| 6 | 9 | |
| 7 | 25 | |
| 8 | 5 | |
| 9 | 20 | |
| 10 | 12 | |
| 11 | 9 | |
| 12 | 4 | |
| 13 | 24 | |
| 14 | 14 | |
| 15 | 6 | |
| 16 | 112 | |
| 17 | 54 | |
| 18 | 114 | |
| 19 | 28 | |
| 20 | 1 |
About Gene Lee
Gene Lee is a scholar working on Obstetrics and Gynecology, Leadership and Management and Pediatrics, Perinatology and Child Health, having authored 50 papers that have together received 895 indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (10 papers), Preterm Birth and Chorioamnionitis (10 papers) and Pregnancy-related medical research (7 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (147 citations), Obstetrics and Gynecology (131 citations) and Pediatrics, Perinatology and Child Health (130 citations). Gene Lee has collaborated with scholars based in United States, South Korea and Poland. Frequent co-authors include Tim Cook, Jerry P. Nolan, Oliver Smithies, Hyung‐Suk Kim, Nobuyo Maeda, Simon W. M. John, Sue J. Goldie, Sun‐Young Kim, Jacquelyn J. Maher and Nobuyuki Takahashi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Biomaterials 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.