Su Suriguga

13 papers receiving 447 citations

Peers

Su Suriguga
Comparison fields: 5 of 74
  • Hepatology 194
  • Pharmacology 48
  • Epidemiology 188
  • Cancer Research 39
  • Nephrology 16
Replace Lukas Geisler with:
Lukas Geisler Germany
Theerut Luangmonkong Thailand
Yung-Tsung Chiu Taiwan
Kohji Otogawa Japan
Xiaodan Ren United States
Marcelle de Carvalho Ribeiro United States
Shigeki Tsukada United States
Alexandra Thompson United Kingdom
Kengo Kawai Japan
Zoe Boyer‐Díaz Spain
Su Suriguga relative to Lukas Geisler Germany Lukas Geisler's profile →
Citations per field
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Lukas Geisler · 1×
Citations per year

Countries citing papers authored by Su Suriguga

Since Specialization
Citations

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

Fields of papers citing papers by Su Suriguga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Su Suriguga, 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 Su Suriguga Line = papers co-authored together Su Suriguga links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2018219
2 201772
3 201757
4 201839
5 202018
6 201814
7 20209
8 20148
9 20135
10 20225
11
A nonalcoholic fatty liver disease cirrhosis model in gerbil: the dynamic relationship between hepatic lipid metabolism and cirrhosis.
20184
12
Pro- and anti-fibrotic agents in liver fibrosis: Perspective from an ex vivo model of liver fibrosis
20191
13
LPS aggravates fibrosis only in the early onset but not in the end stage of liver fibrosis
20161

About Su Suriguga

Su Suriguga is a scholar working on Hepatology, Molecular Biology, Epidemiology, Genetics and Surgery, having authored 13 papers that have together received 452 indexed citations. Recurring topics across this work include Liver physiology and pathology (6 papers), Liver Disease Diagnosis and Treatment (5 papers), Liver Disease and Transplantation (3 papers), TGF-β signaling in diseases (2 papers), Chronic Kidney Disease and Diabetes (1 paper), Diet, Metabolism, and Disease (1 paper), Inflammatory Bowel Disease (1 paper) and Hemoglobinopathies and Related Disorders (1 paper). The work is most often cited by research in Hepatology (194 citations), Pharmacology (48 citations), Epidemiology (188 citations), Cancer Research (39 citations) and Nephrology (16 citations). Su Suriguga has collaborated with scholars based in Thailand, Netherlands and China. Frequent co-authors include Peter Olinga, Henricus A. M. Mutsaers, Theerut Luangmonkong, Miriam Boersema, Geny M. M. Groothuis, Dorenda Oosterhuis, Koert P. de Jong, Chun-Hong Yu, Detlef Schuppan and Emilia Bigaeva. Their work appears in journals such as Toxicology and Applied Pharmacology, American Journal of Physiology-Gastrointestinal and Liver Physiology, Inflammatory Bowel Diseases, British Journal of Pharmacology and Toxicology in Vitro.

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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