Patrick Maschmeyer
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- IL-33, ST2, and ILC Pathways
- Hepatology top 10%
- Liver physiology and pathology
Papers in
- Immunology 17
- Immune Cell Function and Interaction 12
- T-cell and B-cell Immunology 11
- Immunotherapy and Immune Responses 4
- IL-33, ST2, and ILC Pathways 2
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- Liver physiology and pathology 3
- Co-authors
- Florian Winau (4 shared papers)Melanie Flach (2 shared papers)Hyun‐Dong Chang (7 shared papers)Andreas Radbruch (7 shared papers)Mir‐Farzin Mashreghi (7 shared papers)Frank Buttgereit (4 shared papers)Timo Gaber (4 shared papers)Gerd‐Rüdiger Burmester (3 shared papers)
- Journals
- European Journal of Immunology (4 papers)Journal of Visualized Experiments (2 papers)Proceedings of the National Academy of Sciences (2 papers)Cellular and Molecular Immunology (2 papers)Nature Reviews Rheumatology (1 paper)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Patrick Maschmeyer
30 papers receiving 974 citations
Peers
Comparison fields: 5 of 147
- Immunology 375
- Hepatology 60
- Cancer Research 81
- Molecular Biology 298
- Hematology 41
Countries citing papers authored by Patrick Maschmeyer
This map shows the geographic impact of Patrick Maschmeyer'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 Patrick Maschmeyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Maschmeyer more than expected).
Fields of papers citing papers by Patrick Maschmeyer
This network shows the impact of papers produced by Patrick Maschmeyer. 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 Patrick Maschmeyer. The network helps show where Patrick Maschmeyer may publish in the future.
Co-authors
The 25 scholars most cited alongside Patrick Maschmeyer, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 166 | |
| 2 | 2019 | 154 | |
| 3 | 2011 | 61 | |
| 4 | 2010 | 61 | |
| 5 | 2023 | 46 | |
| 6 | 2010 | 46 | |
| 7 | 2013 | 44 | |
| 8 | 2014 | 37 | |
| 9 | 2016 | 37 | |
| 10 | 2020 | 33 | |
| 11 | 2017 | 31 | |
| 12 | 2018 | 30 | |
| 13 | 2023 | 29 | |
| 14 | 2021 | 27 | |
| 15 | 2023 | 26 | |
| 16 | 2017 | 26 | |
| 17 | 2019 | 20 | |
| 18 | 2022 | 18 | |
| 19 | 2011 | 18 | |
| 20 | 2019 | 17 |
About Patrick Maschmeyer
Patrick Maschmeyer is a scholar working on Immunology, Hepatology, Molecular Biology, Cancer Research and Hematology, having authored 30 papers that have together received 990 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (12 papers), T-cell and B-cell Immunology (11 papers), Immunotherapy and Immune Responses (4 papers), Single-cell and spatial transcriptomics (3 papers), Liver physiology and pathology (3 papers), Cancer Genomics and Diagnostics (2 papers), IL-33, ST2, and ILC Pathways (2 papers) and Sphingolipid Metabolism and Signaling (2 papers). The work is most often cited by research in Immunology (375 citations), Hepatology (60 citations), Cancer Research (81 citations), Molecular Biology (298 citations) and Hematology (41 citations). Patrick Maschmeyer has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Florian Winau, Melanie Flach, Hyun‐Dong Chang, Andreas Radbruch, Mir‐Farzin Mashreghi, Frank Buttgereit, Timo Gaber, Gerd‐Rüdiger Burmester, René Dziurla and Francesco Siracusa. Their work appears in journals such as European Journal of Immunology, Journal of Visualized Experiments, Proceedings of the National Academy of Sciences, Cellular and Molecular Immunology and Nature Reviews Rheumatology.
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.