Lei Tan
- Public Health, Environmental and Occupational Health top 5%
- Pediatrics, Perinatology and Child Health top 10%
- Molecular Biology
- Reproductive Medicine top 5%
- Genetics
- Co-authors
- S. ShenVaishali SurajAlice A. ChenK. IvaniM. GvakhariaJ. ConaghanRenee A. Reijo PeraBarry Behr
- Topics
- Reproductive Biology and Fertility (3 papers)Ovarian function and disorders (3 papers)Mitochondrial Function and Pathology (2 papers)
- Cited by
- Reproductive MedicinePublic Health, Environmental and Occupational HealthPediatrics, Perinatology and Child Health
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Lei Tan
9 papers receiving 409 citations
Peers
Comparison fields: 5 of 53
- Public Health, Environmental and Occupational Health 282
- Pediatrics, Perinatology and Child Health 185
- Molecular Biology 181
- Reproductive Medicine 155
- Genetics 28
Countries citing papers authored by Lei Tan
This map shows the geographic impact of Lei Tan'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 Lei Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lei Tan more than expected).
Fields of papers citing papers by Lei Tan
This network shows the impact of papers produced by Lei Tan. 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 Lei Tan. The network helps show where Lei Tan may publish in the future.
Co-authorship network of co-authors of Lei Tan
This figure shows the co-authorship network connecting the top 25 collaborators of Lei Tan. A scholar is included among the top collaborators of Lei Tan 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 Lei Tan. Lei Tan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 59 | |
| 5 | 7 | |
| 6 | 122 | |
| 7 | 97 | |
| 8 | 85 | |
| 9 | Non-diabetic end-stage renal disease among Saskatchewan aboriginal people. | 20 |
| 10 | Preventing NIDDM among aboriginal people: is exercise the answer? Description of a pilot project using exercise to prevent gestational diabetes. | 17 |
| 11 | Problems in the management of insulinoma. | 0 |
About Lei Tan
Lei Tan is a scholar working on Transplantation, Reproductive Medicine and Clinical Biochemistry, having authored 11 papers that have together received 420 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (3 papers), Ovarian function and disorders (3 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Reproductive Medicine (155 citations), Public Health, Environmental and Occupational Health (282 citations) and Pediatrics, Perinatology and Child Health (185 citations). Lei Tan has collaborated with scholars based in China, United States and Canada. Frequent co-authors include S. Shen, Vaishali Suraj, Alice A. Chen, K. Ivani, M. Gvakharia, J. Conaghan, Renee A. Reijo Pera, Barry Behr, Matthew VerMilyea and Monica Mainigi. Their work appears in journals such as Fertility and Sterility, Theoretical and Applied Genetics and BMC Musculoskeletal Disorders.
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.