Maik Luu
Impact in
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
- Immunology top 5%
- Immune Cell Function and Interaction
Papers in
-
- Gut microbiota and health 12
- Oncology 15
- CAR-T cell therapy research 8
- Cancer Immunotherapy and Biomarkers 4
- Co-authors
- Alexander Visekruna (23 shared papers)Sabine Pautz (4 shared papers)Ulrich Steinhoff (10 shared papers)Till Adhikary (3 shared papers)Niyati Vachharajani (4 shared papers)Hanna Leister (6 shared papers)Matthias Lauth (2 shared papers)Hartmann Raifer (4 shared papers)
- Journals
- Frontiers in Immunology (5 papers)European Journal of Immunology (3 papers)Oncotarget (2 papers)Nature Communications (1 paper)Gut Microbes (1 paper)
- Partner nations
- GermanyUnited StatesSpain
In The Last Decade
Maik Luu
29 papers receiving 1.8k citations
Maik Luu's Hit Papers
Peers
Comparison fields: 5 of 97
- Biological Psychiatry 119
- Immunology 414
- Molecular Biology 1.1k
- Gastroenterology 79
- Oncology 351
Countries citing papers authored by Maik Luu
This map shows the geographic impact of Maik Luu'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 Maik Luu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maik Luu more than expected).
Fields of papers citing papers by Maik Luu
This network shows the impact of papers produced by Maik Luu. 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 Maik Luu. The network helps show where Maik Luu may publish in the future.
Co-authors
The 25 scholars most cited alongside Maik Luu, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The short-chain fatty acid pentanoate suppresses autoimmunity by modulating the metabolic-epigenetic crosstalk in lymphocytes Hit paper breakdown → | 2019 | 387 |
| 2 | 2018 | 260 | |
| 3 | 2017 | 233 | |
| 4 | 2019 | 139 | |
| 5 | 2022 | 112 | |
| 6 | 2021 | 110 | |
| 7 | 2020 | 98 | |
| 8 | 2023 | 94 | |
| 9 | 2021 | 75 | |
| 10 | 2020 | 56 | |
| 11 | 2017 | 54 | |
| 12 | 2017 | 52 | |
| 13 | 2023 | 37 | |
| 14 | 2021 | 22 | |
| 15 | 2019 | 21 | |
| 16 | 2021 | 17 | |
| 17 | 2022 | 16 | |
| 18 | 2017 | 11 | |
| 19 | 2025 | 5 | |
| 20 | 2024 | 4 |
About Maik Luu
Maik Luu is a scholar working on Molecular Biology, Oncology, Immunology, Biotechnology and Infectious Diseases, having authored 29 papers that have together received 1.8k indexed citations. Recurring topics across this work include Gut microbiota and health (12 papers), Immune Cell Function and Interaction (10 papers), CAR-T cell therapy research (8 papers), T-cell and B-cell Immunology (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Cancer Research and Treatments (4 papers), IL-33, ST2, and ILC Pathways (3 papers) and Probiotics and Fermented Foods (3 papers). The work is most often cited by research in Biological Psychiatry (119 citations), Immunology (414 citations), Molecular Biology (1.1k citations), Gastroenterology (79 citations) and Oncology (351 citations). Maik Luu has collaborated with scholars based in Germany, United States and Spain. Frequent co-authors include Alexander Visekruna, Sabine Pautz, Ulrich Steinhoff, Till Adhikary, Niyati Vachharajani, Hanna Leister, Matthias Lauth, Hartmann Raifer, Andrea Nist and Thorsten Stiewe. Their work appears in journals such as Frontiers in Immunology, European Journal of Immunology, Oncotarget, Nature Communications and Gut Microbes.
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.