Ute Haas

1.4k citations
36 papers · 1.1k · h-index 19

Impact in

  • Hepatology top 2%
    • Liver physiology and pathology
    • Liver Disease and Transplantation
  • Epidemiology top 10%
    • Liver Disease Diagnosis and Treatment

Papers in

    • Liver physiology and pathology 11
    • Connective Tissue Growth Factor Research 6
    • TGF-β signaling in diseases 3

Ute Haas

33 papers receiving 1.1k citations

Peers

Ute Haas
Comparison fields: 5 of 93
  • Hepatology 280
  • Epidemiology 323
  • Cancer Research 102
  • Cell Biology 106
  • Complementary and alternative medicine 49
Replace Eddy Van de Leur with:
Eddy Van de Leur Germany
Shi Yue China
Akihisa Miyazaki Japan
Shoichi Kageyama Japan
Lucia Russo United States
Adrien Guillot Germany
Silvia Taffetani Italy
Xiu-Da Shen United States
Lidia Tihaa Germany
Ute Haas relative to Eddy Van de Leur Germany Eddy Van de Leur's profile →
Citations per field
00.5×
Eddy Van de Leur · 1×
Citations per year

Countries citing papers authored by Ute Haas

Since Specialization
Citations

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

Fields of papers citing papers by Ute Haas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ute Haas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ute Haas Line = papers co-authored together Ute Haas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012120
2 2013116
3 2009115
4 201482
5 201870
6 201369
7 201750
8 201246
9 201546
10 201743
11 201542
12 201338
13 201036
14 201331
15 201531
16 201528
17 200623
18 201222
19 201918
20 201816

About Ute Haas

Ute Haas is a scholar working on Hepatology, Molecular Biology, Epidemiology, Pathology and Forensic Medicine and Cell Biology, having authored 36 papers that have together received 1.1k indexed citations. Recurring topics across this work include Liver physiology and pathology (11 papers), Liver Disease Diagnosis and Treatment (10 papers), Connective Tissue Growth Factor Research (6 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Alcohol Consumption and Health Effects (4 papers), Drug-Induced Hepatotoxicity and Protection (3 papers), Cancer-related Molecular Pathways (3 papers) and TGF-β signaling in diseases (3 papers). The work is most often cited by research in Hepatology (280 citations), Epidemiology (323 citations), Cancer Research (102 citations), Cell Biology (106 citations) and Complementary and alternative medicine (49 citations). Ute Haas has collaborated with scholars based in Germany, United States and Spain. Frequent co-authors include Ralf Weiskirchen, Erawan Borkham‐Kamphorst, Lidia Tihaa, Eddy Van de Leur, Christian Liedtke, Yulia A. Nevzorova, Frank Tacke, Christian Trautwein, Wei Hu and Francisco Javier Cubero. Their work appears in journals such as Cellular Signalling, Journal of Hepatology, Hepatology, Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease and Biochemical and Biophysical Research Communications.

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.

Explore authors with similar magnitude of impact