Zsuzsa Schaff
- Neurology top 1%
- Barrier Structure and Function Studies 20
- Hepatology top 1%
- Hepatitis C virus research 14
- Liver physiology and pathology 11
- Cancer Research top 5%
- Cancer-related molecular mechanisms research 16
- Cell Biology top 2%
- Proteoglycans and glycosaminoglycans research 12
- Epidemiology top 5%
- Liver Disease Diagnosis and Treatment 28
- Hepatitis B Virus Studies 14
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- Drug-Induced Hepatotoxicity and Protection 8
- Co-authors
- András KissCsilla PáskaIlona KovalszkyGábor LotzLiliána SzabóDavid W. BarryGábor SobelPéter Kupcsulik
- Cited by
- NeurologyHepatologyCancer Research
- Journals
- Nature Communications (1 paper)Hepatology (2 papers)JNCI Journal of the National Cancer Institute (2 papers)
- Partner nations
- HungaryUnited StatesGermany
In The Last Decade
Zsuzsa Schaff
149 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 122
- Neurology 602
- Hepatology 575
- Cancer Research 604
- Cell Biology 513
- Epidemiology 805
Countries citing papers authored by Zsuzsa Schaff
This map shows the geographic impact of Zsuzsa Schaff'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 Zsuzsa Schaff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zsuzsa Schaff more than expected).
Fields of papers citing papers by Zsuzsa Schaff
This network shows the impact of papers produced by Zsuzsa Schaff. 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 Zsuzsa Schaff. The network helps show where Zsuzsa Schaff may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zsuzsa Schaff, 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 | 2022 | 1 | |
| 2 | 2020 | 11 | |
| 3 | 2020 | 10 | |
| 4 | 2020 | 3 | |
| 5 | 2019 | 19 | |
| 6 | 2019 | 5 | |
| 7 | 2018 | 74 | |
| 8 | 2014 | 16 | |
| 9 | 2011 | 46 | |
| 10 | 2010 | 64 | |
| 11 | 2007 | 64 | |
| 12 | 2006 | 87 | |
| 13 | 2005 | 26 | |
| 14 | 2005 | 40 | |
| 15 | 2004 | 11 | |
| 16 | 2001 | 64 | |
| 17 | 1998 | 4 | |
| 18 | [Immunohistochemical study of hepatitis B and D virus antigens (HBsAg, HBcAg, HDAg) in chronic liver diseases]. | 1996 | 2 |
| 19 | 1996 | 1 | |
| 20 | Cytoplasmic aggregates in D-galactosamine induced liver injury. | 1977 | 2 |
About Zsuzsa Schaff
Zsuzsa Schaff is a scholar working on Hepatology, Neurology and Cancer Research, having authored 154 papers that have together received 3.4k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (28 papers), Barrier Structure and Function Studies (20 papers), Cancer-related molecular mechanisms research (16 papers), Hepatitis C virus research (14 papers), Hepatitis B Virus Studies (14 papers), Proteoglycans and glycosaminoglycans research (12 papers), Liver physiology and pathology (11 papers) and Drug-Induced Hepatotoxicity and Protection (8 papers). The work is most often cited by research in Neurology (602 citations), Hepatology (575 citations) and Cancer Research (604 citations). Zsuzsa Schaff has collaborated with scholars based in Hungary, United States and Germany. Frequent co-authors include András Kiss, Csilla Páska, Ilona Kovalszky, Gábor Lotz, Liliána Szabó, David W. Barry, Gábor Sobel, Péter Kupcsulik, Pál Kaposi Novák and Anna‐Mária Tõkés. Their work appears in journals such as Nature Communications, Hepatology and JNCI Journal of the National Cancer Institute.
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.