Lu Ni
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immune cells in cancer
- Immunotherapy and Immune Responses
- IL-33, ST2, and ILC Pathways
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- Cancer, Hypoxia, and Metabolism
Papers in
-
- RNA Research and Splicing 2
- Circular RNAs in diseases 2
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- Thermal properties of materials 4
- Graphene research and applications 3
- Co-authors
- Chen Dong (6 shared papers)Xiaohu Wang (4 shared papers)Nan Cao (1 shared paper)Heidi Eberspaecher (1 shared paper)Jae Kyu Ryu (1 shared paper)Kai Liu (1 shared paper)Tianhua Ma (1 shared paper)Wendong Huang (1 shared paper)
- Journals
- Chemical Communications (3 papers)Composites Science and Technology (3 papers)Immunity (2 papers)Scientific Reports (1 paper)Journal of materials research/Pratt's guide to venture capital sources (1 paper)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Lu Ni
24 papers receiving 613 citations
Peers
Comparison fields: 5 of 97
- Immunology 258
- Cancer Research 90
- Biological Psychiatry 9
- Molecular Biology 225
- Rheumatology 41
Countries citing papers authored by Lu Ni
This map shows the geographic impact of Lu Ni'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 Lu Ni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lu Ni more than expected).
Fields of papers citing papers by Lu Ni
This network shows the impact of papers produced by Lu Ni. 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 Lu Ni. The network helps show where Lu Ni may publish in the future.
Co-authors
The 25 scholars most cited alongside Lu Ni, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 265 | |
| 2 | 2020 | 60 | |
| 3 | 2002 | 60 | |
| 4 | 2017 | 35 | |
| 5 | 2023 | 33 | |
| 6 | 2017 | 29 | |
| 7 | 2021 | 26 | |
| 8 | 2024 | 21 | |
| 9 | 2015 | 20 | |
| 10 | 2020 | 12 | |
| 11 | 2022 | 11 | |
| 12 | 2020 | 6 | |
| 13 | 2018 | 5 | |
| 14 | 2023 | 4 | |
| 15 | 2023 | 4 | |
| 16 | 2018 | 4 | |
| 17 | 2024 | 4 | |
| 18 | 2025 | 4 | |
| 19 | 2024 | 3 | |
| 20 | 2024 | 3 |
About Lu Ni
Lu Ni is a scholar working on Molecular Biology, Materials Chemistry, Immunology, Mechanical Engineering and Electrical and Electronic Engineering, having authored 27 papers that have together received 617 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (4 papers), Thermal properties of materials (4 papers), Graphene research and applications (3 papers), MicroRNA in disease regulation (2 papers), RNA Research and Splicing (2 papers), Composite Material Mechanics (2 papers) and Circular RNAs in diseases (2 papers). The work is most often cited by research in Immunology (258 citations), Cancer Research (90 citations), Biological Psychiatry (9 citations), Molecular Biology (225 citations) and Rheumatology (41 citations). Lu Ni has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Chen Dong, Xiaohu Wang, Nan Cao, Heidi Eberspaecher, Jae Kyu Ryu, Kai Liu, Tianhua Ma, Wendong Huang, Saiyong Zhu and Katerina Akassoglou. Their work appears in journals such as Chemical Communications, Composites Science and Technology, Immunity, Scientific Reports and Journal of materials research/Pratt's guide to venture capital sources.
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.