Xin Chu

86 papers receiving 2.7k citations

Hit Papers

Cellular mechanism of insulin resistance in nonalcoholic fatty liver disease 2011 · 450 citations
4502011202620162021100200300400

Peers

Xin Chu
Comparison fields: 5 of 119
  • Sensory Systems 282
  • Endocrinology, Diabetes and Metabolism 467
  • Epidemiology 830
  • Physiology 554
  • Cancer Research 277
Replace Xiu‐Ju Luo with:
Xiu‐Ju Luo China
Keisuke Ishizawa Japan
Gui‐Rong Li China
Maria Gabriella Caruso Italy
Tahar Hajri United States
Piyali Dasgupta United States
Ahmed F. El‐Yazbi Egypt
Paschalis‐Thomas Doulias United States
Nobuhiro Inatomi Japan
Akira Ikari Japan
Xin Chu relative to Xiu‐Ju Luo China Xiu‐Ju Luo's profile →
Citations per field
00.5×7.7×
Xiu‐Ju Luo · 1×
Citations per year

Countries citing papers authored by Xin Chu

Since Specialization
Citations

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

Fields of papers citing papers by Xin Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Cellular mechanism of insulin resistance in nonalcoholic fatty liver disease
Hit paper breakdown →
2011450
2 2003199
3 2009137
4 2013116
5 2020115
6 2005111
7 201799
8 202298
9 201171
10 201271
11 201063
12 200558
13 200456
14 201856
15 201854
16 200250
17 200448
18 201444
19 201742
20 201338

About Xin Chu

Xin Chu is a scholar working on Sensory Systems, Hepatology, Epidemiology, Geriatrics and Gerontology and Physiology, having authored 92 papers that have together received 2.7k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (21 papers), Genetic Associations and Epidemiology (7 papers), Diet and metabolism studies (7 papers), Liver Diseases and Immunity (6 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers), Metabolism, Diabetes, and Cancer (5 papers), Ion Channels and Receptors (5 papers) and Diet, Metabolism, and Disease (5 papers). The work is most often cited by research in Sensory Systems (282 citations), Endocrinology, Diabetes and Metabolism (467 citations), Epidemiology (830 citations), Physiology (554 citations) and Cancer Research (277 citations). Xin Chu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Christopher D. Still, Glenn S. Gerhard, Anthony Petrick, Johanna K. DiStefano, Varman T. Samuel, Gerald I. Shulman, Sara A. Beddow, Renmin Liu, Ailing Sun and Joseph Y. Cheung. Their work appears in journals such as Journal of Biological Chemistry, Obesity Surgery, Clinical Epigenetics, Obesity and Journal of Fish Diseases.

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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