Daniel Bormann
Impact in
- Rehabilitation top 10%
- Wound Healing and Treatments
- Dermatology top 10%
- Dermatologic Treatments and Research
Papers in
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- Nicotinic Acetylcholine Receptors Study 2
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- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 2
- Immune cells in cancer 2
- Co-authors
- Hendrik Jan Ankersmit (15 shared papers)Michael Mildner (14 shared papers)Maria Laggner (10 shared papers)Dragan Copic (11 shared papers)Katharina Klas (10 shared papers)Martin Direder (11 shared papers)Alfred Gugerell (5 shared papers)Christine Radtke (3 shared papers)
- Journals
- Cells (3 papers)Biology (2 papers)Addiction Biology (1 paper)Acta Neuropathologica Communications (1 paper)Frontiers in Cell and Developmental Biology (1 paper)
- Partner nations
- AustriaUnited StatesJapan
In The Last Decade
Daniel Bormann
20 papers receiving 262 citations
Peers
Comparison fields: 5 of 60
- Rehabilitation 59
- Dermatology 61
- Developmental Neuroscience 19
- Urology 13
- Biological Psychiatry 5
Countries citing papers authored by Daniel Bormann
This map shows the geographic impact of Daniel Bormann'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 Daniel Bormann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Bormann more than expected).
Fields of papers citing papers by Daniel Bormann
This network shows the impact of papers produced by Daniel Bormann. 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 Daniel Bormann. The network helps show where Daniel Bormann may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Bormann, 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 | 2022 | 60 | |
| 2 | 2022 | 43 | |
| 3 | 2022 | 28 | |
| 4 | 2022 | 16 | |
| 5 | 2023 | 15 | |
| 6 | 2020 | 11 | |
| 7 | 2018 | 10 | |
| 8 | 2019 | 10 | |
| 9 | 2020 | 9 | |
| 10 | 2022 | 8 | |
| 11 | 2022 | 8 | |
| 12 | 2019 | 8 | |
| 13 | 2023 | 6 | |
| 14 | 2022 | 6 | |
| 15 | 2025 | 5 | |
| 16 | 2022 | 5 | |
| 17 | 2021 | 5 | |
| 18 | 2023 | 4 | |
| 19 | 2023 | 3 | |
| 20 | 2022 | 3 |
About Daniel Bormann
Daniel Bormann is a scholar working on Molecular Biology, Immunology, Epidemiology, Rehabilitation and Neurology, having authored 22 papers that have together received 263 indexed citations. Recurring topics across this work include Wound Healing and Treatments (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Dermatologic Treatments and Research (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Nicotinic Acetylcholine Receptors Study (2 papers), Immune cells in cancer (2 papers) and Tendon Structure and Treatment (2 papers). The work is most often cited by research in Rehabilitation (59 citations), Dermatology (61 citations), Developmental Neuroscience (19 citations), Urology (13 citations) and Biological Psychiatry (5 citations). Daniel Bormann has collaborated with scholars based in Austria, United States and Japan. Frequent co-authors include Hendrik Jan Ankersmit, Michael Mildner, Maria Laggner, Dragan Copic, Katharina Klas, Martin Direder, Alfred Gugerell, Christine Radtke, Vera Vorstandlechner and Erwin Tschachler. Their work appears in journals such as Cells, Biology, Addiction Biology, Acta Neuropathologica Communications and Frontiers in Cell and Developmental Biology.
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.