Hannah Garner
Impact in
- Neurology top 0.5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Immunology top 1%
- Immune cells in cancer
- Immune Cell Function and Interaction
- Phagocytosis and Immune Regulation
- Immune Response and Inflammation
- Immunotherapy and Immune Responses
Papers in
- Immunology 10
- Immune cells in cancer 8
- Phagocytosis and Immune Regulation 3
- Immune Cell Function and Interaction 2
- Oncology 5
- Cancer Immunotherapy and Biomarkers 4
- Inflammatory Biomarkers in Disease Prognosis 2
- Co-authors
- Frédéric Geissmann (6 shared papers)Christian Schulz (2 shared papers)Marella de Bruijn (2 shared papers)Katrin Busch (2 shared papers)Céline Trouillet (2 shared papers)Kay Klapproth (2 shared papers)Emanuele Azzoni (2 shared papers)Elisa Gomez Perdiguero (2 shared papers)
- Journals
- Cell (2 papers)Nature Communications (1 paper)Experimental Hematology (1 paper)npj Breast Cancer (1 paper)Annals of Oncology (1 paper)
- Partner nations
- NetherlandsGermanyUnited Kingdom
In The Last Decade
Hannah Garner
11 papers receiving 3.5k citations
Hannah Garner's Hit Papers
Peers
Comparison fields: 5 of 129
- Neurology 909
- Immunology 2.1k
- Biological Psychiatry 89
- Developmental Neuroscience 135
- Oncology 377
Countries citing papers authored by Hannah Garner
This map shows the geographic impact of Hannah Garner'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 Hannah Garner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hannah Garner more than expected).
Fields of papers citing papers by Hannah Garner
This network shows the impact of papers produced by Hannah Garner. 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 Hannah Garner. The network helps show where Hannah Garner may publish in the future.
Co-authors
The 25 scholars most cited alongside Hannah Garner, 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 | Tissue-resident macrophages originate from yolk-sac-derived erythro-myeloid progenitors Hit paper breakdown → | 2014 | 1728 |
| 2 | Environment Drives Selection and Function of Enhancers Controlling Tissue-Specific Macrophage Identities Hit paper breakdown → | 2014 | 987 |
| 3 | 2016 | 407 | |
| 4 | 2020 | 295 | |
| 5 | 2015 | 46 | |
| 6 | 2015 | 39 | |
| 7 | 2025 | 13 | |
| 8 | 2023 | 12 | |
| 9 | 2015 | 10 | |
| 10 | 2020 | 9 | |
| 11 | 2025 | 5 |
About Hannah Garner
Hannah Garner is a scholar working on Immunology, Oncology, Molecular Biology, Surgery and Cellular and Molecular Neuroscience, having authored 11 papers that have together received 3.6k indexed citations. Recurring topics across this work include Immune cells in cancer (8 papers), Cancer Immunotherapy and Biomarkers (4 papers), Phagocytosis and Immune Regulation (3 papers), Inflammatory Biomarkers in Disease Prognosis (2 papers), Epigenetics and DNA Methylation (2 papers), Immune Cell Function and Interaction (2 papers), Bioinformatics and Genomic Networks (1 paper) and Cancer, Stress, Anesthesia, and Immune Response (1 paper). The work is most often cited by research in Neurology (909 citations), Immunology (2.1k citations), Biological Psychiatry (89 citations), Developmental Neuroscience (135 citations) and Oncology (377 citations). Hannah Garner has collaborated with scholars based in Netherlands, Germany and United Kingdom. Frequent co-authors include Frédéric Geissmann, Christian Schulz, Marella de Bruijn, Katrin Busch, Céline Trouillet, Kay Klapproth, Emanuele Azzoni, Elisa Gomez Perdiguero, Lucile Crozet and Hans-Reimer Rodewald. Their work appears in journals such as Cell, Nature Communications, Experimental Hematology, npj Breast Cancer and Annals of Oncology.
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.