Maike Effern
Impact in
- Physiology top 2%
- Adenosine and Purinergic Signaling
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
Papers in
- Oncology 9
- Cancer Immunotherapy and Biomarkers 8
- CAR-T cell therapy research 1
-
- Immunotherapy and Immune Responses 3
- T-cell and B-cell Immunology 2
- Co-authors
- Michael Hölzel (8 shared papers)Thomas Tüting (3 shared papers)Daniel Hinze (4 shared papers)Debby Konijnenberg (2 shared papers)Alexander R. Schramm (1 shared paper)Julian Philipp Layer (1 shared paper)Gunther Hartmann (1 shared paper)Matthias Fischer (1 shared paper)
- Journals
- Immunity (4 papers)Science Immunology (1 paper)Signal Transduction and Targeted Therapy (1 paper)Nature Communications (1 paper)OncoImmunology (1 paper)
- Partner nations
- GermanyAustraliaUnited States
In The Last Decade
Maike Effern
15 papers receiving 1.2k citations
Maike Effern's Hit Papers
Peers
Comparison fields: 5 of 67
- Physiology 132
- Oncology 447
- Immunology 341
- Molecular Biology 266
- Ophthalmology 38
Countries citing papers authored by Maike Effern
This map shows the geographic impact of Maike Effern'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 Maike Effern with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maike Effern more than expected).
Fields of papers citing papers by Maike Effern
This network shows the impact of papers produced by Maike Effern. 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 Maike Effern. The network helps show where Maike Effern may publish in the future.
Co-authors
The 25 scholars most cited alongside Maike Effern, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 317 | |
| 2 | 2015 | 297 | |
| 3 | Targeting CD39 in Cancer Reveals an Extracellular ATP- and Inflammasome-Driven Tumor Immunity Hit paper breakdown → | 2019 | 234 |
| 4 | 2020 | 128 | |
| 5 | 2017 | 101 | |
| 6 | 2024 | 40 | |
| 7 | 2020 | 32 | |
| 8 | 2023 | 24 | |
| 9 | 2021 | 17 | |
| 10 | 2018 | 15 | |
| 11 | 2024 | 14 | |
| 12 | 2023 | 6 | |
| 13 | 2024 | 5 | |
| 14 | 2022 | 4 | |
| 15 | 2020 | 2 |
About Maike Effern
Maike Effern is a scholar working on Oncology, Immunology, Physiology, Periodontics and Dermatology, having authored 15 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (8 papers), Immunotherapy and Immune Responses (3 papers), T-cell and B-cell Immunology (2 papers), Receptor Mechanisms and Signaling (1 paper), Oral Health Pathology and Treatment (1 paper), CAR-T cell therapy research (1 paper), Skin Protection and Aging (1 paper) and Genetic and rare skin diseases. (1 paper). The work is most often cited by research in Physiology (132 citations), Oncology (447 citations), Immunology (341 citations), Molecular Biology (266 citations) and Ophthalmology (38 citations). Maike Effern has collaborated with scholars based in Germany, Australia and United States. Frequent co-authors include Michael Hölzel, Thomas Tüting, Daniel Hinze, Debby Konijnenberg, Alexander R. Schramm, Julian Philipp Layer, Gunther Hartmann, Matthias Fischer, Waldemar Kolanus and Johannes Hubertus Schulte. Their work appears in journals such as Immunity, Science Immunology, Signal Transduction and Targeted Therapy, Nature Communications and OncoImmunology.
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.