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
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- 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
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- Single-cell and spatial transcriptomics 4
- Extracellular vesicles in disease 2
- Co-authors
- Claude P. Muller (6 shared papers)Gerd Meyer zu Hörste (9 shared papers)Heinz Wiendl (9 shared papers)Sophie Farinelle (5 shared papers)Michael Heming (7 shared papers)Xiaolin Li (5 shared papers)Anna‐Lena Börsch (4 shared papers)Feng He (2 shared papers)
- Journals
- Genome Medicine (2 papers)Virus Research (1 paper)Cellular and Molecular Immunology (1 paper)Journal of Virology (1 paper)European Journal of Immunology (1 paper)
- Partner nations
- GermanyUnited StatesLuxembourg
In The Last Decade
I‐Na Lu
21 papers receiving 655 citations
Peers
Comparison fields: 5 of 86
- Neurology 154
- Immunology 290
- Biological Psychiatry 24
- Neurology 114
- Virology 33
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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 121 | |
| 2 | 2020 | 117 | |
| 3 | 2016 | 49 | |
| 4 | 2014 | 49 | |
| 5 | 2014 | 42 | |
| 6 | 2022 | 40 | |
| 7 | 2021 | 35 | |
| 8 | 2020 | 35 | |
| 9 | 2012 | 29 | |
| 10 | 2022 | 28 | |
| 11 | 2018 | 28 | |
| 12 | 2017 | 27 | |
| 13 | 2021 | 22 | |
| 14 | 2018 | 9 | |
| 15 | 2022 | 9 | |
| 16 | 2013 | 7 | |
| 17 | 2018 | 4 | |
| 18 | 2014 | 3 | |
| 19 | 2025 | 3 | |
| 20 | 2023 | 3 |
About I‐Na Lu
I‐Na Lu is a scholar working on Immunology, Molecular Biology, Virology, Epidemiology and Neurology, having authored 21 papers that have together received 663 indexed citations. Recurring topics across this work include HIV Research and Treatment (5 papers), Influenza Virus Research Studies (5 papers), Immune Cell Function and Interaction (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Single-cell and spatial transcriptomics (4 papers), T-cell and B-cell Immunology (4 papers), Immune Response and Inflammation (4 papers) and Extracellular vesicles in disease (2 papers). The work is most often cited by research in Neurology (154 citations), Immunology (290 citations), Biological Psychiatry (24 citations), Neurology (114 citations) and Virology (33 citations). I‐Na Lu has collaborated with scholars based in Germany, United States and Luxembourg. Frequent co-authors include Claude P. Muller, Gerd Meyer zu Hörste, Heinz Wiendl, Sophie Farinelle, Michael Heming, Xiaolin Li, Anna‐Lena Börsch, Feng He, Aurélie Sausy and Johanna M. Eberhard. Their work appears in journals such as Genome Medicine, Virus Research, Cellular and Molecular Immunology, Journal of Virology and European Journal of Immunology.
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.