Melanie Grusdat
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immune Response and Inflammation
- interferon and immune responses
- Immunotherapy and Immune Responses
- Immune cells in cancer
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- Cancer Immunotherapy and Biomarkers
- Cytokine Signaling Pathways and Interactions
Papers in
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- Immune Cell Function and Interaction 8
- T-cell and B-cell Immunology 6
- Immunotherapy and Immune Responses 4
- IL-33, ST2, and ILC Pathways 2
- Immune Response and Inflammation 2
- Immunodeficiency and Autoimmune Disorders 1
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- Metabolism, Diabetes, and Cancer 1
- Co-authors
- Dirk Brenner (5 shared papers)Catherine Dostert (2 shared papers)Elisabeth Letellier (1 shared paper)Davide G. Franchina (1 shared paper)Philipp A. Lang (5 shared papers)Dieter Häussinger (4 shared papers)Haifeng C. Xu (4 shared papers)Karl S. Lang (4 shared papers)
- Journals
- Frontiers in Cellular and Infection Microbiology (1 paper)Trends in cancer (1 paper)Immunity (1 paper)Physiological Reviews (1 paper)Nature Immunology (1 paper)
- Partner nations
- GermanyCanadaLuxembourg
In The Last Decade
Melanie Grusdat
9 papers receiving 742 citations
Peers
Comparison fields: 5 of 85
- Immunology 492
- Oncology 190
- Cancer Research 91
- Hepatology 28
- Molecular Biology 193
Countries citing papers authored by Melanie Grusdat
This map shows the geographic impact of Melanie Grusdat'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 Melanie Grusdat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Melanie Grusdat more than expected).
Fields of papers citing papers by Melanie Grusdat
This network shows the impact of papers produced by Melanie Grusdat. 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 Melanie Grusdat. The network helps show where Melanie Grusdat may publish in the future.
Co-authors
The 25 scholars most cited alongside Melanie Grusdat, 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 | 337 | |
| 2 | 2014 | 172 | |
| 3 | 2013 | 71 | |
| 4 | 2018 | 61 | |
| 5 | 2013 | 38 | |
| 6 | 2014 | 27 | |
| 7 | 2020 | 21 | |
| 8 | 2014 | 15 | |
| 9 | 2024 | 3 | |
| 10 | 2022 | 0 |
About Melanie Grusdat
Melanie Grusdat is a scholar working on Immunology, Molecular Biology, Surgery, Epidemiology and Genetics, having authored 10 papers that have together received 745 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (8 papers), T-cell and B-cell Immunology (6 papers), Immunotherapy and Immune Responses (4 papers), IL-33, ST2, and ILC Pathways (2 papers), Immune Response and Inflammation (2 papers), Pancreatic function and diabetes (1 paper), Immunodeficiency and Autoimmune Disorders (1 paper) and Metabolism, Diabetes, and Cancer (1 paper). The work is most often cited by research in Immunology (492 citations), Oncology (190 citations), Cancer Research (91 citations), Hepatology (28 citations) and Molecular Biology (193 citations). Melanie Grusdat has collaborated with scholars based in Germany, Canada and Luxembourg. Frequent co-authors include Dirk Brenner, Catherine Dostert, Elisabeth Letellier, Davide G. Franchina, Philipp A. Lang, Dieter Häussinger, Haifeng C. Xu, Karl S. Lang, Pamela S. Ohashi and Aleksandra A. Pandyra. Their work appears in journals such as Frontiers in Cellular and Infection Microbiology, Trends in cancer, Immunity, Physiological Reviews and Nature 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.