Zsuzsa Schaff

4.3k total citations
154 papers, 3.4k citations indexed

About

Zsuzsa Schaff is a scholar working on Molecular Biology, Epidemiology and Hepatology. According to data from OpenAlex, Zsuzsa Schaff has authored 154 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 44 papers in Epidemiology and 32 papers in Hepatology. Recurrent topics in Zsuzsa Schaff's work include Liver Disease Diagnosis and Treatment (28 papers), Barrier Structure and Function Studies (20 papers) and Cancer-related molecular mechanisms research (16 papers). Zsuzsa Schaff is often cited by papers focused on Liver Disease Diagnosis and Treatment (28 papers), Barrier Structure and Function Studies (20 papers) and Cancer-related molecular mechanisms research (16 papers). Zsuzsa Schaff collaborates with scholars based in Hungary, United States and Germany. Zsuzsa Schaff's 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 and has published in prestigious journals such as Nature Communications, Hepatology and JNCI Journal of the National Cancer Institute.

In The Last Decade

Zsuzsa Schaff

149 papers receiving 3.2k citations

Peers

Zsuzsa Schaff

EPIDE

ONCOL

NEURO

Takahiro Kodama Japan

Herwart F. Otto Germany

Salvatore Antonaci Italy

Ilona Kovalszky Hungary

Go Hasegawa Japan

Lin Shen China

Maciej M. Markiewski United States

Frank Autschbach Germany

Oliver Waidmann Germany

Christine Brostjan Austria

Takahiro Kodama Japan

Zsuzsa Schaff

2.4k ×2.1

1.3k ×1.6

EPIDE

824 ×1.3

ONCOL

895 ×1.5

175 ×0.3

NEURO

Citations per year, relative to Zsuzsa Schaff Zsuzsa Schaff (= 1×) peers Takahiro Kodama

Countries citing papers authored by Zsuzsa Schaff

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Zsuzsa Schaff

This figure shows the co-authorship network connecting the top 25 collaborators of Zsuzsa Schaff. A scholar is included among the top collaborators of Zsuzsa Schaff based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zsuzsa Schaff. Zsuzsa Schaff is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Kulka, Janina, Eszter Székely, Glen Kristiansen, et al.. (2022). Addition of Chromosome 17 Polysomy and HER2 Amplification Status Improves the Accuracy of Clinicopathological Factor-Based Progression Risk Stratification and Tumor Grading of Non-Muscle-Invasive Bladder Cancer. Cancers. 14(19). 4570–4570. 1 indexed citations

Shu, Zhang, Jie Zhang, Katja Evert, et al.. (2020). The Hippo Effector Transcriptional Coactivator with PDZ-Binding Motif Cooperates with Oncogenic β-Catenin to Induce Hepatoblastoma Development in Mice and Humans. American Journal Of Pathology. 190(7). 1397–1413. 11 indexed citations

Lendvai, Gábor, Arun Kumar Selvam, Attila Szakos, et al.. (2020). The Effect of Methylselenocysteine and Sodium Selenite Treatment on microRNA Expression in Liver Cancer Cell Lines. Pathology & Oncology Research. 26(4). 2669–2681. 10 indexed citations

Chen, Xinyan, András Kiss, Zsuzsa Schaff, et al.. (2020). CDK9 is dispensable for YAP‐driven hepatoblastoma development. Pediatric Blood & Cancer. 67(5). e28221–e28221. 3 indexed citations

Zhang, Jie, Liu Pin, Junyan Tao, et al.. (2019). TEA Domain Transcription Factor 4 Is the Major Mediator of Yes-Associated Protein Oncogenic Activity in Mouse and Human Hepatoblastoma. American Journal Of Pathology. 189(5). 1077–1090. 19 indexed citations

Csala, Miklós, et al.. (2019). BGP-15 Protects Mitochondria in Acute, Acetaminophen Overdose Induced Liver Injury. Pathology & Oncology Research. 26(3). 1797–1803. 5 indexed citations

Lendvai, Gábor, András Kiss, Klára Werling, et al.. (2018). Cholangiocarcinoma: Classification, Histopathology and Molecular Carcinogenesis. Pathology & Oncology Research. 26(1). 3–15. 74 indexed citations

Somorácz, Áron, et al.. (2014). Tricellulin Expression and its Prognostic Significance in Primary Liver Carcinomas. Pathology & Oncology Research. 20(4). 755–764. 16 indexed citations

Szász, Attila Marcell, Zsuzsanna Németh, Balázs Győrffy, et al.. (2011). Identification of a claudin‐4 and E‐cadherin score to predict prognosis in breast cancer. Cancer Science. 102(12). 2248–2254. 46 indexed citations

10.

Tátrai, Péter, Áron Somorácz, Toin H. Van Kuppevelt, et al.. (2010). Quantitative and Qualitative Alterations of Heparan Sulfate in Fibrogenic Liver Diseases and Hepatocellular Cancer. Journal of Histochemistry & Cytochemistry. 58(5). 429–441. 64 indexed citations

11.

Moldvay, Judit, Márta Jäckel, Csilla Páska, et al.. (2007). Distinct claudin expression profile in histologic subtypes of lung cancer. Lung Cancer. 57(2). 159–167. 64 indexed citations

12.

Nagy, Gábor, Tamás Kardon, Lívius Wunderlich, et al.. (2006). Acetaminophen induces ER dependent signaling in mouse liver. Archives of Biochemistry and Biophysics. 459(2). 273–279. 87 indexed citations

13.

Margittai, Éva, Gábor Bánhegyi, András Kiss, et al.. (2005). Scurvy Leads to Endoplasmic Reticulum Stress and Apoptosis in the Liver of Guinea Pigs1. Journal of Nutrition. 135(11). 2530–2534. 26 indexed citations

14.

Szíjártó, Attila, et al.. (2005). Effect of Ischemic Preconditioning on Rat Liver Microcirculation Monitored with Laser Doppler Flowmetry. Journal of Surgical Research. 131(1). 150–157. 40 indexed citations

15.

Horváth, Andrea, Péter Lakatos, György Íllyés, et al.. (2004). Rising plasma nociceptin level during development of HCC: A case report. World Journal of Gastroenterology. 10(1). 152–152. 11 indexed citations

16.

Dudás, József, Ilona Kovalszky, Mónika Gallai, et al.. (2001). Expression of Decorin, Transforming Growth Factor-beta1, Tissue Inhibitor Metalloproteinase 1 and 2, and Type IV Collagenases in Chronic Hepatitis. American Journal of Clinical Pathology. 115(5). 725–735. 64 indexed citations

17.

Moldvay, Judit, et al.. (1998). P53 Expression in stage I squamous cell lung cancer. Pathology & Oncology Research. 4(1). 8–13. 4 indexed citations

18.

Horváth, Gábor, et al.. (1996). [Immunohistochemical study of hepatitis B and D virus antigens (HBsAg, HBcAg, HDAg) in chronic liver diseases].. PubMed. 137(21). 1133–8. 2 indexed citations

19.

Eder, Gerald, Z Harkányi, & Zsuzsa Schaff. (1996). Ultrasound guided spleen biopsy in chimpanzees (pan troglodytes). Ultrasound in Medicine & Biology. 22(1). 19–24. 1 indexed citations

20.

Tompa, Anna, K. Lapis, Zsuzsa Schaff, et al.. (1977). Cytoplasmic aggregates in D-galactosamine induced liver injury.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 25(4). 239–57. 2 indexed citations

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.

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