Mario Chojkier

10.8k total citations · 2 hit papers
77 papers, 6.8k citations indexed

About

Mario Chojkier is a scholar working on Hepatology, Molecular Biology and Epidemiology. According to data from OpenAlex, Mario Chojkier has authored 77 papers receiving a total of 6.8k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Hepatology, 25 papers in Molecular Biology and 23 papers in Epidemiology. Recurrent topics in Mario Chojkier's work include Liver Disease Diagnosis and Treatment (20 papers), Liver physiology and pathology (19 papers) and Liver Disease and Transplantation (12 papers). Mario Chojkier is often cited by papers focused on Liver Disease Diagnosis and Treatment (20 papers), Liver physiology and pathology (19 papers) and Liver Disease and Transplantation (12 papers). Mario Chojkier collaborates with scholars based in United States, United Kingdom and France. Mario Chojkier's co-authors include Martina Buck, K Houglum, David A. Brenner, Michael Karin, J.A. Solís-Herruzo, Peter Angel, Maureen O’Hara, Christian Trautwein, Tony Hunter and Peter van der Geer and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Mario Chojkier

76 papers receiving 6.6k citations

Hit Papers

Prolonged activation of jun and collagenase genes by tumo... 1989 2026 2001 2013 1989 1990 200 400 600

Peers

Mario Chojkier
Comparison fields: 5 of 124
  • Molecular Biology 2.3k
  • Epidemiology 2.1k
  • Hepatology 1.8k
  • Surgery 813
  • Oncology 800
Replace Mark J. Czaja with:
Mark J. Czaja United States
Maria Eugenia Guicciardi United States
Yoshitake Hayashi Japan
Hajime Higuchi Japan
Takato Ueno Japan
Jacquelyn J. Maher United States
Shuichi Kaneko Japan
Richard A. Rippe United States
Christoph H. Österreicher Austria
Mark Α. Zern United States
Mark J. Czaja United States View profile →
Citations per field, relative to Mario Chojkier
Mario Chojkier · 1×
Citations per year, relative to Mario Chojkier
Mario Chojkier · 1×

Countries citing papers authored by Mario Chojkier

Since Specialization
Citations

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

Fields of papers citing papers by Mario Chojkier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Chojkier

This figure shows the co-authorship network connecting the top 25 collaborators of Mario Chojkier. A scholar is included among the top collaborators of Mario Chojkier 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 Mario Chojkier. Mario Chojkier 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
# Work Indexed citations
1 40
2 14
3 57
4 24
5 13
6 38
7 88
8 42
9 93
10 148
11 152
12 179
13 96
14 74
15 50
16 459
17 32
18 204
19
Prolonged activation of jun and collagenase genes by tumour necrosis factor-α breakdown →
654
20 64

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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2026