Nan Lü
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms 6
- Immunology top 5%
- Immune Cell Function and Interaction 13
- Immunotherapy and Immune Responses 8
- T-cell and B-cell Immunology 7
- Phagocytosis and Immune Regulation 7
- Molecular Biology top 5%
- RNA modifications and cancer 6
- Cancer Research top 10%
- Cancer-related molecular mechanisms research 9
- Cell Biology top 5%
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- Ovarian cancer diagnosis and treatment 6
- Co-authors
- Zheng ZhouXiaomeng YuCai ZhangBin HeZhigang TianQiuju HanJian ZhangSteven Lenhert
- Cited by
- AgingImmunologyMolecular Biology
- Journals
- Frontiers in Immunology (3 papers)OncoImmunology (3 papers)International Journal of Oncology (3 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Nan Lü
110 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 139
- Aging 198
- Immunology 752
- Molecular Biology 1.3k
- Cancer Research 284
- Cell Biology 257
Countries citing papers authored by Nan Lü
This map shows the geographic impact of Nan Lü'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 Nan Lü with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nan Lü more than expected).
Fields of papers citing papers by Nan Lü
This network shows the impact of papers produced by Nan Lü. 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 Nan Lü. The network helps show where Nan Lü may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nan Lü, 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 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 5 | |
| 6 | 2024 | 11 | |
| 7 | 2023 | 10 | |
| 8 | 2023 | 19 | |
| 9 | 2023 | 6 | |
| 10 | 2023 | 2 | |
| 11 | 2022 | 7 | |
| 12 | 2022 | 13 | |
| 13 | 2022 | 11 | |
| 14 | 2021 | 26 | |
| 15 | 2018 | 5 | |
| 16 | 2017 | 16 | |
| 17 | 2017 | 31 | |
| 18 | Abstract 13008: No Effect of the Type of Sugar on Changes in Traditional Risk Factors for Cardiovascular Disease when Consumed at Typical Levels | 2013 | 1 |
| 19 | 2012 | 61 | |
| 20 | 2008 | 104 |
About Nan Lü
Nan Lü is a scholar working on Aging, Immunology, Reproductive Medicine, Cancer Research and Transplantation, having authored 114 papers that have together received 2.9k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (13 papers), Cancer-related molecular mechanisms research (9 papers), Immunotherapy and Immune Responses (8 papers), T-cell and B-cell Immunology (7 papers), Phagocytosis and Immune Regulation (7 papers), Genetics, Aging, and Longevity in Model Organisms (6 papers), Ovarian cancer diagnosis and treatment (6 papers) and RNA modifications and cancer (6 papers). The work is most often cited by research in Aging (198 citations), Immunology (752 citations), Molecular Biology (1.3k citations), Cancer Research (284 citations) and Cell Biology (257 citations). Nan Lü has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Zheng Zhou, Xiaomeng Yu, Cai Zhang, Bin He, Zhigang Tian, Qiuju Han, Jian Zhang, Steven Lenhert, Xizhong Shen and Harald Fuchs. Their work appears in journals such as Frontiers in Immunology, OncoImmunology, International Journal of Oncology, Journal of Gastroenterology and Hepatology and RSC Advances.
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.