Eva Thoma
Impact in
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
Papers in
-
- Pluripotent Stem Cells Research 6
- CRISPR and Genetic Engineering 3
- Single-cell and spatial transcriptomics 2
-
- 3D Printing in Biomedical Research 3
- Co-authors
- Manfred Schartl (5 shared papers)Toni U. Wagner (4 shared papers)Amaury Herpin (2 shared papers)Katja Maurus (2 shared papers)Ingo Braasch (1 shared paper)Cornelia Schmidt (1 shared paper)Shuhei Nakamura (1 shared paper)Minoru Tanaka (1 shared paper)
- Journals
- Scientific Reports (3 papers)PLoS ONE (2 papers)Journal of Hepatology (2 papers)Stem Cell Reports (1 paper)Cellular Reprogramming (1 paper)
- Partner nations
- GermanySwitzerlandJapan
In The Last Decade
Eva Thoma
15 papers receiving 354 citations
Peers
Comparison fields: 5 of 55
- Developmental Neuroscience 38
- Physiology 21
- Cellular and Molecular Neuroscience 71
- Genetics 105
- Hepatology 22
Countries citing papers authored by Eva Thoma
This map shows the geographic impact of Eva Thoma'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 Eva Thoma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Thoma more than expected).
Fields of papers citing papers by Eva Thoma
This network shows the impact of papers produced by Eva Thoma. 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 Eva Thoma. The network helps show where Eva Thoma may publish in the future.
Co-authors
The 25 scholars most cited alongside Eva Thoma, 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 | 2010 | 94 | |
| 2 | 2012 | 73 | |
| 3 | 2014 | 67 | |
| 4 | 2021 | 36 | |
| 5 | 2020 | 25 | |
| 6 | 2010 | 17 | |
| 7 | 2024 | 10 | |
| 8 | 2012 | 10 | |
| 9 | 2016 | 9 | |
| 10 | 2021 | 6 | |
| 11 | 2018 | 3 | |
| 12 | 2011 | 2 | |
| 13 | 2015 | 2 | |
| 14 | 2024 | 1 | |
| 15 | 2022 | 1 | |
| 16 | 2015 | 0 |
About Eva Thoma
Eva Thoma is a scholar working on Molecular Biology, Biomedical Engineering, Developmental Neuroscience, Cellular and Molecular Neuroscience and Oncology, having authored 16 papers that have together received 356 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (6 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), 3D Printing in Biomedical Research (3 papers), CRISPR and Genetic Engineering (3 papers), Nerve injury and regeneration (2 papers), Liver physiology and pathology (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Single-cell and spatial transcriptomics (2 papers). The work is most often cited by research in Developmental Neuroscience (38 citations), Physiology (21 citations), Cellular and Molecular Neuroscience (71 citations), Genetics (105 citations) and Hepatology (22 citations). Eva Thoma has collaborated with scholars based in Germany, Switzerland and Japan. Frequent co-authors include Manfred Schartl, Toni U. Wagner, Amaury Herpin, Katja Maurus, Ingo Braasch, Cornelia Schmidt, Shuhei Nakamura, Minoru Tanaka, Anna‐Leena Sirén and Erhard Wischmeyer. Their work appears in journals such as Scientific Reports, PLoS ONE, Journal of Hepatology, Stem Cell Reports and Cellular Reprogramming.
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.