Michal Ganz

1.4k citations
9 papers · 1.2k indexed · 1 hit paper · h-index 9
Topics
Liver Disease Diagnosis and Treatment (8 papers)Diabetes and associated disorders (2 papers)Lipid metabolism and disorders (2 papers)
Partner nations
United StatesGermany

In The Last Decade

Michal Ganz

9 papers receiving 1.2k citations

Hit Papers

Fatty acid and endotoxin activate inflammasomes in mouse ...20112026201620212011100200300400500

Peers

Michal Ganz
Comparison fields: 5 of 74
  • Epidemiology 821
  • Molecular Biology 538
  • Endocrinology, Diabetes and Metabolism 276
  • Hepatology 262
  • Immunology 155
Replace Fahrettin Haczeyni with:
Fahrettin Haczeyni Australia
Ian Sipula United States
Zehua Zhao China
C. Rychlicki Italy
Kyle L. Poulsen United States
Oriol Morales‐Ibanez Spain
Bilon Khambu United States
Laura Agostinelli Italy
María E. Miquilena-Colina Spain
Michal Ganz relative to Fahrettin Haczeyni Australia Fahrettin Haczeyni's profile →
Citations per field
00.5×12.1×
Fahrettin Haczeyni · 1×
Citations per year

Countries citing papers authored by Michal Ganz

Since Specialization
Citations

This map shows the geographic impact of Michal Ganz'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 Michal Ganz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michal Ganz more than expected).

Fields of papers citing papers by Michal Ganz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michal Ganz. 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 Michal Ganz. The network helps show where Michal Ganz may publish in the future.

Co-authorship network of co-authors of Michal Ganz

This figure shows the co-authorship network connecting the top 25 collaborators of Michal Ganz. A scholar is included among the top collaborators of Michal Ganz 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 Michal Ganz. Michal Ganz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
#WorkIndexed citations
1 23
2 110
3 129
4 31
5 77
6 154
7 29
8 106
9
Fatty acid and endotoxin activate inflammasomes in mouse hepatocytes that release danger signals to stimulate immune cellsbreakdown →
541

About Michal Ganz

Michal Ganz is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine, having authored 9 papers that have together received 1.2k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (8 papers), Diabetes and associated disorders (2 papers) and Lipid metabolism and disorders (2 papers). The work is most often cited by research in Hepatology (262 citations), Epidemiology (821 citations) and Endocrinology, Diabetes and Metabolism (276 citations). Michal Ganz has collaborated with scholars based in United States and Germany. Frequent co-authors include Gyöngyi Szabó, Tímea Csák, Karen Kodys, Angela Dolganiuc, Aditya Ambade, Terence N. Bukong, Jin‐Kyu Park, Banishree Saha, Jan Petrášek and Jin‐Kyu Park. Their work appears in journals such as Hepatology, Oncogene and World Journal of Gastroenterology.

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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