Hannah Hafner
Impact in
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
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- Nerve injury and regeneration
- Axon Guidance and Neuronal Signaling
Papers in
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- Adipose Tissue and Metabolism 6
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- Birth, Development, and Health 6
- Co-authors
- Brigid Gregg (9 shared papers)Riki Kawaguchi (3 shared papers)Ryan Passino (3 shared papers)Craig Johnson (3 shared papers)Lucas D. Huffman (3 shared papers)Daniel H. Geschwind (3 shared papers)Roman J. Giger (3 shared papers)Ashley L. Kalinski (2 shared papers)
- Journals
- eLife (2 papers)Scientific Reports (2 papers)Nutrients (1 paper)Cell Reports (1 paper)Journal of Mammary Gland Biology and Neoplasia (1 paper)
- Partner nations
- United States
In The Last Decade
Hannah Hafner
14 papers receiving 315 citations
Peers
Comparison fields: 5 of 63
- Developmental Neuroscience 44
- Cellular and Molecular Neuroscience 113
- Obstetrics and Gynecology 30
- Pediatrics, Perinatology and Child Health 69
- Neurology 26
Countries citing papers authored by Hannah Hafner
This map shows the geographic impact of Hannah Hafner'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 Hafner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hannah Hafner more than expected).
Fields of papers citing papers by Hannah Hafner
This network shows the impact of papers produced by Hannah Hafner. 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 Hafner. The network helps show where Hannah Hafner may publish in the future.
Co-authors
The 25 scholars most cited alongside Hannah Hafner, 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 | 2020 | 121 | |
| 2 | 2019 | 62 | |
| 3 | 2022 | 46 | |
| 4 | 2019 | 29 | |
| 5 | 2018 | 17 | |
| 6 | 2020 | 16 | |
| 7 | 2024 | 8 | |
| 8 | 1978 | 6 | |
| 9 | 2022 | 4 | |
| 10 | [On the effect of the female sex hormone on ulcer of the upper digestive tract]. | 1966 | 4 |
| 11 | 2021 | 2 | |
| 12 | [Retardation and acceleration of the time sense in diencephalic disorders]. | 1954 | 2 |
| 13 | 2018 | 1 | |
| 14 | 2021 | 1 | |
| 15 | 1953 | 1 | |
| 16 | 2020 | 0 |
About Hannah Hafner
Hannah Hafner is a scholar working on Physiology, Pediatrics, Perinatology and Child Health, Surgery, Genetics and Cellular and Molecular Neuroscience, having authored 16 papers that have together received 320 indexed citations. Recurring topics across this work include Birth, Development, and Health (6 papers), Adipose Tissue and Metabolism (6 papers), Pancreatic function and diabetes (3 papers), Diabetes Management and Research (2 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Fatty Acid Research and Health (2 papers), Diabetes and associated disorders (2 papers) and Nerve injury and regeneration (2 papers). The work is most often cited by research in Developmental Neuroscience (44 citations), Cellular and Molecular Neuroscience (113 citations), Obstetrics and Gynecology (30 citations), Pediatrics, Perinatology and Child Health (69 citations) and Neurology (26 citations). Hannah Hafner has collaborated with scholars based in United States. Frequent co-authors include Brigid Gregg, Riki Kawaguchi, Ryan Passino, Craig Johnson, Lucas D. Huffman, Daniel H. Geschwind, Roman J. Giger, Ashley L. Kalinski, Mita Varghese and Kevin Carbajal. Their work appears in journals such as eLife, Scientific Reports, Nutrients, Cell Reports and Journal of Mammary Gland Biology and Neoplasia.
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.