Ni Lee
Impact in
- Immunology top 0.5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Reproductive System and Pregnancy
- Immunotherapy and Immune Responses
- Reproductive Medicine top 2%
- Endometriosis Research and Treatment
Papers in
- Immunology 13
- T-cell and B-cell Immunology 11
- Immune Cell Function and Interaction 11
- Reproductive System and Pregnancy 7
- Immunotherapy and Immune Responses 5
- Co-authors
- Daniel E. Geraghty (13 shared papers)Akiko Ishitani (6 shared papers)Francisco Navarro (2 shared papers)Manuel Llano (2 shared papers)Miguel López‐Botet (2 shared papers)Hans Marquardt (3 shared papers)Marta Carretero (1 shared paper)David R. Goodlett (1 shared paper)
- Journals
- The Journal of Immunology (6 papers)European Journal of Immunology (2 papers)Journal of Biological Chemistry (1 paper)PLoS ONE (1 paper)Blood (1 paper)
- Partner nations
- United StatesJapanSouth Africa
In The Last Decade
Ni Lee
14 papers receiving 2.8k citations
Ni Lee's Hit Papers
Peers
Comparison fields: 5 of 73
- Immunology 2.6k
- Reproductive Medicine 248
- Obstetrics and Gynecology 173
- Agronomy and Crop Science 241
- Virology 85
Countries citing papers authored by Ni Lee
This map shows the geographic impact of Ni 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 Ni Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ni Lee more than expected).
Fields of papers citing papers by Ni Lee
This network shows the impact of papers produced by Ni 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 Ni Lee. The network helps show where Ni Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Ni Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | HLA-E is a major ligand for the natural killer inhibitory receptor CD94/NKG2A Hit paper breakdown → | 1998 | 838 |
| 2 | 1998 | 424 | |
| 3 | 1998 | 311 | |
| 4 | 2003 | 278 | |
| 5 | 1995 | 267 | |
| 6 | 2003 | 254 | |
| 7 | 2013 | 108 | |
| 8 | 2016 | 94 | |
| 9 | 2010 | 89 | |
| 10 | 2003 | 71 | |
| 11 | 2010 | 63 | |
| 12 | 2013 | 49 | |
| 13 | 2023 | 16 | |
| 14 | 2016 | 9 |
About Ni Lee
Ni Lee is a scholar working on Immunology, Molecular Biology, Pathology and Forensic Medicine, Cellular and Molecular Neuroscience and Computer Vision and Pattern Recognition, having authored 14 papers that have together received 2.9k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (11 papers), Immune Cell Function and Interaction (11 papers), Reproductive System and Pregnancy (7 papers), Immunotherapy and Immune Responses (5 papers), COVID-19 Impact on Reproduction (1 paper), Neuroscience and Neural Engineering (1 paper), Systemic Sclerosis and Related Diseases (1 paper) and Cell Adhesion Molecules Research (1 paper). The work is most often cited by research in Immunology (2.6k citations), Reproductive Medicine (248 citations), Obstetrics and Gynecology (173 citations), Agronomy and Crop Science (241 citations) and Virology (85 citations). Ni Lee has collaborated with scholars based in United States, Japan and South Africa. Frequent co-authors include Daniel E. Geraghty, Akiko Ishitani, Francisco Navarro, Manuel Llano, Miguel López‐Botet, Hans Marquardt, Marta Carretero, David R. Goodlett, Aura Burian and Roland K. Strong. Their work appears in journals such as The Journal of Immunology, European Journal of Immunology, Journal of Biological Chemistry, PLoS ONE and Blood.
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.