Maya Eisenring
Impact in
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- Immune Cell Function and Interaction
- IL-33, ST2, and ILC Pathways
- Immunotherapy and Immune Responses
- Immune cells in cancer
- T-cell and B-cell Immunology
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- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in
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- T-cell and B-cell Immunology 2
- Immune Cell Function and Interaction 2
- Immune Response and Inflammation 2
- Immunotherapy and Immune Responses 1
- Toxin Mechanisms and Immunotoxins 1
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- Cutaneous lymphoproliferative disorders research 3
- Co-authors
- Glen Kristiansen (1 shared paper)Elisabeth Saller (1 shared paper)Burkhard Becher (1 shared paper)Johannes vom Berg (1 shared paper)Alan Valaperti (6 shared papers)Urs C. Steiner (3 shared papers)Daniel Franzen (3 shared papers)Zhe Li (1 shared paper)
- Journals
- Journal of Cancer Research and Clinical Oncology (1 paper)Cytokine (1 paper)Journal of Pharmaceutical and Biomedical Analysis (1 paper)Journal of Scleroderma and Related Disorders (1 paper)Pharmaceutics (1 paper)
- Partner nations
- SwitzerlandUnited StatesPoland
In The Last Decade
Maya Eisenring
10 papers receiving 294 citations
Peers
Comparison fields: 5 of 42
- Immunology 192
- Oncology 92
- Surgery 74
- Dermatology 14
- Hematology 13
Countries citing papers authored by Maya Eisenring
This map shows the geographic impact of Maya Eisenring'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 Maya Eisenring with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maya Eisenring more than expected).
Fields of papers citing papers by Maya Eisenring
This network shows the impact of papers produced by Maya Eisenring. 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 Maya Eisenring. The network helps show where Maya Eisenring may publish in the future.
Co-authors
The 25 scholars most cited alongside Maya Eisenring, 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 | 2010 | 187 | |
| 2 | 2021 | 33 | |
| 3 | 2021 | 18 | |
| 4 | 2019 | 18 | |
| 5 | 2019 | 13 | |
| 6 | 2023 | 10 | |
| 7 | 2021 | 7 | |
| 8 | 2017 | 5 | |
| 9 | 2023 | 4 | |
| 10 | 2021 | 2 | |
| 11 | 2025 | 0 |
About Maya Eisenring
Maya Eisenring is a scholar working on Immunology, Dermatology, Oncology, Molecular Biology and Pathology and Forensic Medicine, having authored 11 papers that have together received 297 indexed citations. Recurring topics across this work include Cutaneous lymphoproliferative disorders research (3 papers), T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (2 papers), Immune Response and Inflammation (2 papers), CAR-T cell therapy research (2 papers), Systemic Sclerosis and Related Diseases (1 paper), Immunotherapy and Immune Responses (1 paper) and Toxin Mechanisms and Immunotoxins (1 paper). The work is most often cited by research in Immunology (192 citations), Oncology (92 citations), Surgery (74 citations), Dermatology (14 citations) and Hematology (13 citations). Maya Eisenring has collaborated with scholars based in Switzerland, United States and Poland. Frequent co-authors include Glen Kristiansen, Elisabeth Saller, Burkhard Becher, Johannes vom Berg, Alan Valaperti, Urs C. Steiner, Daniel Franzen, Zhe Li, Malcolm Kohler and Emmanuella Guenova. Their work appears in journals such as Journal of Cancer Research and Clinical Oncology, Cytokine, Journal of Pharmaceutical and Biomedical Analysis, Journal of Scleroderma and Related Disorders and Pharmaceutics.
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.