Zsuzsa Schaff

4.3k citations
154 papers · 3.4k indexed · h-index 34
Topics
Liver Disease Diagnosis and Treatment (28 papers)Barrier Structure and Function Studies (20 papers)Cancer-related molecular mechanisms research (16 papers)

In The Last Decade

Zsuzsa Schaff

149 papers receiving 3.2k citations

Peers

Zsuzsa Schaff
Comparison fields: 5 of 122
  • Molecular Biology 1.1k
  • Epidemiology 805
  • Oncology 619
  • Cancer Research 604
  • Neurology 602
Replace Takahiro Kodama with:
Takahiro Kodama Japan
Maciej M. Markiewski United States
Herwart F. Otto Germany
Salvatore Antonaci Italy
Patrick Bertolino Australia
Youhai H. Chen United States
Frank Autschbach Germany
Go Hasegawa Japan
Ilona Kovalszky Hungary
Christine Brostjan Austria
Zsuzsa Schaff relative to Takahiro Kodama Japan Takahiro Kodama's profile →
Citations per field
00.5×3.4×
Takahiro Kodama · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 1
2 11
3 10
4 3
5 19
6 5
7 74
8 16
9 46
10 64
11 64
12 87
13 26
14 40
15 11
16 64
17 4
18
[Immunohistochemical study of hepatitis B and D virus antigens (HBsAg, HBcAg, HDAg) in chronic liver diseases].
2
19 1
20
Cytoplasmic aggregates in D-galactosamine induced liver injury.
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) and Cancer-related molecular mechanisms research (16 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.

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