Cornelia Stumptner
- Hepatology top 1%
- Cell Biology top 1%
- Skin and Cellular Biology Research 24
- Endoplasmic Reticulum Stress and Disease 15
- Epidemiology top 2%
- Liver Disease Diagnosis and Treatment 8
- Oncology top 5%
- Drug Transport and Resistance Mechanisms 5
- Health Informatics top 5%
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- Wnt/β-catenin signaling in development and cancer 5
- Fibroblast Growth Factor Research 4
- Nuclear Structure and Function 4
- Molecular Biology Techniques and Applications 4
- Co-authors
- Kurt ZatloukalHelmut DenkAndrea FuchsbichlerPeter FickertMichael TraunerHans HeidPavel StrnadLukas Kenner
- Cited by
- HepatologyCell BiologyEpidemiology
- Journals
- Journal of Hepatology (6 papers)American Journal Of Pathology (6 papers)Hepatology (4 papers)
- Partner nations
- AustriaGermanyUnited States
In The Last Decade
Cornelia Stumptner
48 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Hepatology 600
- Cell Biology 995
- Epidemiology 1.2k
- Oncology 575
- Health Informatics 28
Countries citing papers authored by Cornelia Stumptner
This map shows the geographic impact of Cornelia Stumptner'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 Cornelia Stumptner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cornelia Stumptner more than expected).
Fields of papers citing papers by Cornelia Stumptner
This network shows the impact of papers produced by Cornelia Stumptner. 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 Cornelia Stumptner. The network helps show where Cornelia Stumptner may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Cornelia Stumptner, 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 | 2023 | 1 | |
| 2 | 2022 | 52 | |
| 3 | 2019 | 30 | |
| 4 | 2019 | 28 | |
| 5 | 2012 | 33 | |
| 6 | 2008 | 81 | |
| 7 | 2008 | 159 | |
| 8 | 2008 | 87 | |
| 9 | 2007 | 48 | |
| 10 | 2007 | 246 | |
| 11 | 2005 | 30 | |
| 12 | 2004 | 17 | |
| 13 | 2004 | 102 | |
| 14 | 2002 | 38 | |
| 15 | 2002 | 104 | |
| 16 | 2002 | 248 | |
| 17 | 2001 | 41 | |
| 18 | 2001 | 211 | |
| 19 | 1999 | 62 | |
| 20 | 1999 | 5 |
About Cornelia Stumptner
Cornelia Stumptner is a scholar working on Cell Biology, Health Informatics, Hepatology, Molecular Biology and Oncology, having authored 48 papers that have together received 3.1k indexed citations. Recurring topics across this work include Skin and Cellular Biology Research (24 papers), Endoplasmic Reticulum Stress and Disease (15 papers), Liver Disease Diagnosis and Treatment (8 papers), Drug Transport and Resistance Mechanisms (5 papers), Wnt/β-catenin signaling in development and cancer (5 papers), Fibroblast Growth Factor Research (4 papers), Nuclear Structure and Function (4 papers) and Molecular Biology Techniques and Applications (4 papers). The work is most often cited by research in Hepatology (600 citations), Cell Biology (995 citations), Epidemiology (1.2k citations), Oncology (575 citations) and Health Informatics (28 citations). Cornelia Stumptner has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Kurt Zatloukal, Helmut Denk, Andrea Fuchsbichler, Peter Fickert, Michael Trauner, Hans Heid, Pavel Strnad, Lukas Kenner, Adriano Aguzzi and Martina Schnoelzer. Their work appears in journals such as Journal of Hepatology, American Journal Of Pathology, Hepatology, New Biotechnology and The Journal of Pathology.
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.