I‐Na Lu
Impact in
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Long-Term Effects of COVID-19
- Immunology top 10%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Immune cells in cancer
Papers in
- Immunology 12
- Immune Cell Function and Interaction 5
- T-cell and B-cell Immunology 4
- Immune Response and Inflammation 4
- Immune cells in cancer 2
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- Influenza Virus Research Studies 5
- Co-authors
- Claude P. Muller (6 shared papers)Heinz Wiendl (10 shared papers)Gerd Meyer zu Hörste (9 shared papers)Sophie Farinelle (5 shared papers)Michael Heming (7 shared papers)Xiaolin Li (5 shared papers)Anna‐Lena Börsch (4 shared papers)Aurélie Sausy (1 shared paper)
- Journals
- Genome Medicine (2 papers)Nature Communications (1 paper)Journal of Virology (1 paper)European Journal of Immunology (1 paper)Science Translational Medicine (1 paper)
- Partner nations
- GermanyUnited StatesLuxembourg
In The Last Decade
I‐Na Lu
22 papers receiving 701 citations
Peers
Comparison fields: 5 of 82
- Neurology 145
- Immunology 284
- Biological Psychiatry 26
- Neurology 117
- Virology 31
Countries citing papers authored by I‐Na Lu
This map shows the geographic impact of I‐Na Lu'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 I‐Na Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I‐Na Lu more than expected).
Fields of papers citing papers by I‐Na Lu
This network shows the impact of papers produced by I‐Na Lu. 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 I‐Na Lu. The network helps show where I‐Na Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside I‐Na Lu, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 128 | |
| 2 | 2021 | 126 | |
| 3 | 2014 | 52 | |
| 4 | 2016 | 52 | |
| 5 | 2022 | 46 | |
| 6 | 2014 | 42 | |
| 7 | 2021 | 35 | |
| 8 | 2020 | 35 | |
| 9 | 2018 | 31 | |
| 10 | 2022 | 30 | |
| 11 | 2012 | 29 | |
| 12 | 2017 | 29 | |
| 13 | 2021 | 23 | |
| 14 | 2018 | 9 | |
| 15 | 2022 | 9 | |
| 16 | 2013 | 8 | |
| 17 | 2024 | 6 | |
| 18 | 2018 | 4 | |
| 19 | 2025 | 4 | |
| 20 | 2023 | 4 |
About I‐Na Lu
I‐Na Lu is a scholar working on Immunology, Epidemiology, Molecular Biology, Virology and Neurology, having authored 22 papers that have together received 709 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (5 papers), Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), HIV Research and Treatment (4 papers), Immune Response and Inflammation (4 papers), Single-cell and spatial transcriptomics (2 papers) and Immune cells in cancer (2 papers). The work is most often cited by research in Neurology (145 citations), Immunology (284 citations), Biological Psychiatry (26 citations), Neurology (117 citations) and Virology (31 citations). I‐Na Lu has collaborated with scholars based in Germany, United States and Luxembourg. Frequent co-authors include Claude P. Muller, Heinz Wiendl, Gerd Meyer zu Hörste, Sophie Farinelle, Michael Heming, Xiaolin Li, Anna‐Lena Börsch, Aurélie Sausy, Feng He and Dirk Meyer‐Olson. Their work appears in journals such as Genome Medicine, Nature Communications, Journal of Virology, European Journal of Immunology and Science Translational Medicine.
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.