Eva Oswald
Impact in
- Dermatology top 5%
- Contact Dermatitis and Allergies
-
- Immunodeficiency and Autoimmune Disorders
- T-cell and B-cell Immunology
Papers in
-
- Autoimmune Bullous Skin Diseases 4
- Multiple Sclerosis Research Studies 4
- Oncology 4
- Cancer Cells and Metastasis 3
- Cancer Immunotherapy and Biomarkers 2
- Co-authors
- Thilo Jakob (4 shared papers)Stefan F. Martin (4 shared papers)Julia B. Schüler (13 shared papers)Béla Ózsvári (1 shared paper)Janka Zsófia Csepregi (1 shared paper)Axel Roers (1 shared paper)László Géza Puskás (1 shared paper)Tamás Németh (1 shared paper)
- Journals
- Neurology Neuroimmunology & Neuroinflammation (2 papers)Scientific Reports (2 papers)Blood (1 paper)Immunology Letters (1 paper)Multiple Sclerosis Journal (1 paper)
- Partner nations
- GermanyTürkiyeUnited States
In The Last Decade
Eva Oswald
21 papers receiving 518 citations
Peers
Comparison fields: 5 of 60
- Dermatology 85
- Immunology 140
- Pathology and Forensic Medicine 89
- Oncology 82
- Artificial Intelligence 46
Countries citing papers authored by Eva Oswald
This map shows the geographic impact of Eva Oswald'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 Oswald with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Oswald more than expected).
Fields of papers citing papers by Eva Oswald
This network shows the impact of papers produced by Eva Oswald. 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 Oswald. The network helps show where Eva Oswald may publish in the future.
Co-authors
The 25 scholars most cited alongside Eva Oswald, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 147 | |
| 2 | 2015 | 101 | |
| 3 | 2008 | 65 | |
| 4 | 2017 | 29 | |
| 5 | 2012 | 23 | |
| 6 | 2010 | 20 | |
| 7 | 2023 | 17 | |
| 8 | 2007 | 16 | |
| 9 | 2017 | 14 | |
| 10 | 2021 | 14 | |
| 11 | 2019 | 13 | |
| 12 | 2022 | 13 | |
| 13 | 2009 | 12 | |
| 14 | 2012 | 12 | |
| 15 | 2019 | 11 | |
| 16 | Supervised and Unsupervised Cell-Nuclei Detection in Immunohistology | 2019 | 6 |
| 17 | 2023 | 5 | |
| 18 | 2020 | 4 | |
| 19 | 2024 | 4 | |
| 20 | 2020 | 2 |
About Eva Oswald
Eva Oswald is a scholar working on Pathology and Forensic Medicine, Oncology, Biophysics, Dermatology and Hematology, having authored 25 papers that have together received 529 indexed citations. Recurring topics across this work include Autoimmune Bullous Skin Diseases (4 papers), Multiple Sclerosis Research Studies (4 papers), Cancer Cells and Metastasis (3 papers), AI in cancer detection (3 papers), Cancer Immunotherapy and Biomarkers (2 papers), Acute Myeloid Leukemia Research (2 papers), Cell Image Analysis Techniques (2 papers) and Contact Dermatitis and Allergies (2 papers). The work is most often cited by research in Dermatology (85 citations), Immunology (140 citations), Pathology and Forensic Medicine (89 citations), Oncology (82 citations) and Artificial Intelligence (46 citations). Eva Oswald has collaborated with scholars based in Germany, Türkiye and United States. Frequent co-authors include Thilo Jakob, Stefan F. Martin, Julia B. Schüler, Béla Ózsvári, Janka Zsófia Csepregi, Axel Roers, László Géza Puskás, Tamás Németh, Anne Dudeck and Attila Mócsai. Their work appears in journals such as Neurology Neuroimmunology & Neuroinflammation, Scientific Reports, Blood, Immunology Letters and Multiple Sclerosis Journal.
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.