Anna Badner
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
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- Spinal Cord Injury Research
Papers in
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- Spinal Cord Injury Research 13
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- Neurogenesis and neuroplasticity mechanisms 4
- Co-authors
- Michael George Fehlings (14 shared papers)Antigona Ulndreaj (2 shared papers)James Hong (9 shared papers)Reaz Vawda (5 shared papers)Ahad M. Siddiqui (1 shared paper)Jonathon Chon Teng Chio (4 shared papers)Mirriam Mikhail (4 shared papers)Marc Soubeyrand (3 shared papers)
- Journals
- Journal of Neurotrauma (4 papers)Journal of Neuroinflammation (3 papers)Stem Cells Translational Medicine (3 papers)Journal of Visualized Experiments (2 papers)Science Translational Medicine (1 paper)
- Partner nations
- CanadaUnited StatesFrance
In The Last Decade
Anna Badner
22 papers receiving 621 citations
Peers
Comparison fields: 5 of 67
- Developmental Neuroscience 92
- Pathology and Forensic Medicine 320
- Cellular and Molecular Neuroscience 201
- Genetics 105
- Neurology 55
Countries citing papers authored by Anna Badner
This map shows the geographic impact of Anna Badner'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 Anna Badner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Badner more than expected).
Fields of papers citing papers by Anna Badner
This network shows the impact of papers produced by Anna Badner. 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 Anna Badner. The network helps show where Anna Badner may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Badner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 82 | |
| 2 | 2020 | 77 | |
| 3 | 2016 | 59 | |
| 4 | 2017 | 59 | |
| 5 | 2019 | 56 | |
| 6 | 2014 | 48 | |
| 7 | 2015 | 41 | |
| 8 | 2018 | 36 | |
| 9 | 2023 | 30 | |
| 10 | 2019 | 25 | |
| 11 | 2018 | 19 | |
| 12 | 2021 | 17 | |
| 13 | 2015 | 14 | |
| 14 | 2020 | 12 | |
| 15 | 2021 | 10 | |
| 16 | 2020 | 10 | |
| 17 | 2019 | 9 | |
| 18 | 2022 | 7 | |
| 19 | 2023 | 6 | |
| 20 | 2015 | 6 |
About Anna Badner
Anna Badner is a scholar working on Pathology and Forensic Medicine, Developmental Neuroscience, Genetics, Neurology and Surgery, having authored 22 papers that have together received 630 indexed citations. Recurring topics across this work include Spinal Cord Injury Research (13 papers), Cervical and Thoracic Myelopathy (4 papers), Nerve Injury and Rehabilitation (4 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), Mesenchymal stem cell research (4 papers), Nerve injury and regeneration (3 papers), Traumatic Brain Injury and Neurovascular Disturbances (3 papers) and Traumatic Brain Injury Research (3 papers). The work is most often cited by research in Developmental Neuroscience (92 citations), Pathology and Forensic Medicine (320 citations), Cellular and Molecular Neuroscience (201 citations), Genetics (105 citations) and Neurology (55 citations). Anna Badner has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Michael George Fehlings, Antigona Ulndreaj, James Hong, Reaz Vawda, Ahad M. Siddiqui, Jonathon Chon Teng Chio, Mirriam Mikhail, Marc Soubeyrand, Young Sun Chung and Pia Maria Vidal. Their work appears in journals such as Journal of Neurotrauma, Journal of Neuroinflammation, Stem Cells Translational Medicine, Journal of Visualized Experiments and Science Translational Medicine.
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.