Iris Sawitza
Impact in
- Hepatology top 1%
- Liver physiology and pathology
- Surgery top 10%
- Organ Transplantation Techniques and Outcomes
- Pancreatic function and diabetes
- Tissue Engineering and Regenerative Medicine
Papers in
- Hepatology 15
- Liver physiology and pathology 15
- Surgery 11
- Organ Transplantation Techniques and Outcomes 8
- Pancreatic function and diabetes 7
- Co-authors
- Claus Kordes (16 shared papers)Dieter Häussinger (16 shared papers)Silke Götze (10 shared papers)Diran Herebıan (4 shared papers)Axel M. Gressner (5 shared papers)K Breitkopf (4 shared papers)Hanne Klonowski-Stumpe (1 shared paper)Niloofar Ale‐Agha (1 shared paper)
- Journals
- Biochemical and Biophysical Research Communications (3 papers)Stem Cells and Development (2 papers)Growth Factors (2 papers)Scientific Reports (2 papers)Hepatology (1 paper)
- Partner nations
- GermanyFinlandUnited States
In The Last Decade
Iris Sawitza
20 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 70
- Hepatology 591
- Surgery 380
- Epidemiology 260
- Genetics 68
- Oncology 130
Countries citing papers authored by Iris Sawitza
This map shows the geographic impact of Iris Sawitza'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 Iris Sawitza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iris Sawitza more than expected).
Fields of papers citing papers by Iris Sawitza
This network shows the impact of papers produced by Iris Sawitza. 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 Iris Sawitza. The network helps show where Iris Sawitza may publish in the future.
Co-authors
The 25 scholars most cited alongside Iris Sawitza, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 179 | |
| 2 | 2014 | 136 | |
| 3 | 2009 | 119 | |
| 4 | 2008 | 94 | |
| 5 | 2005 | 87 | |
| 6 | 2013 | 73 | |
| 7 | 2015 | 49 | |
| 8 | 2009 | 47 | |
| 9 | 2012 | 44 | |
| 10 | 2005 | 38 | |
| 11 | 2011 | 31 | |
| 12 | 2005 | 27 | |
| 13 | 2016 | 26 | |
| 14 | 2018 | 20 | |
| 15 | 2005 | 17 | |
| 16 | 2016 | 17 | |
| 17 | 2014 | 11 | |
| 18 | 2015 | 6 | |
| 19 | 2003 | 5 | |
| 20 | 2015 | 3 |
About Iris Sawitza
Iris Sawitza is a scholar working on Hepatology, Surgery, Molecular Biology, Epidemiology and Pediatrics, Perinatology and Child Health, having authored 21 papers that have together received 1.0k indexed citations. Recurring topics across this work include Liver physiology and pathology (15 papers), Organ Transplantation Techniques and Outcomes (8 papers), Pancreatic function and diabetes (7 papers), TGF-β signaling in diseases (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Angiogenesis and VEGF in Cancer (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Hepatology (591 citations), Surgery (380 citations), Epidemiology (260 citations), Genetics (68 citations) and Oncology (130 citations). Iris Sawitza has collaborated with scholars based in Germany, Finland and United States. Frequent co-authors include Claus Kordes, Dieter Häussinger, Silke Götze, Diran Herebıan, Axel M. Gressner, K Breitkopf, Hanne Klonowski-Stumpe, Niloofar Ale‐Agha, Verena Keitel and L Wickert. Their work appears in journals such as Biochemical and Biophysical Research Communications, Stem Cells and Development, Growth Factors, Scientific Reports and Hepatology.
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.