Xiaobo Lin

28 papers receiving 916 citations

Peers

Xiaobo Lin
Comparison fields: 5 of 87
  • Biochemistry 119
  • Nutrition and Dietetics 246
  • Biochemistry 67
  • Surgery 431
  • Endocrinology, Diabetes and Metabolism 133
Replace R. Dargel with:
R. Dargel Germany
A K Bhattacharyya United States
Harumi Uto‐Kondo Japan
Tateo Kawase Japan
David J. Wadleigh United States
Michael G. Backlund United States
Karina Reyes‐Gordillo United States
Ella Born United States
Tsutomu Yamashita Japan
Annie M. Bérard France
Xiaobo Lin relative to R. Dargel Germany R. Dargel's profile →
Citations per field
00.5×
R. Dargel · 1×
Citations per year

Countries citing papers authored by Xiaobo Lin

Since Specialization
Citations

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

Fields of papers citing papers by Xiaobo Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009122
2 200974
3 200464
4 200663
5 201360
6 200451
7 201545
8 201141
9 200239
10 200838
11 200636
12 201136
13 200335
14 200932
15 201726
16 201723
17 200222
18 202221
19 201519
20
Fatty liver and insulin resistance: not always linked.
200819

About Xiaobo Lin

Xiaobo Lin is a scholar working on Surgery, Molecular Biology, Nutrition and Dietetics, Cancer Research and Epidemiology, having authored 30 papers that have together received 945 indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (14 papers), Cancer, Lipids, and Metabolism (6 papers), Lipid metabolism and biosynthesis (6 papers), Steroid Chemistry and Biochemistry (6 papers), Fatty Acid Research and Health (5 papers), Liver Disease Diagnosis and Treatment (5 papers), Drug Transport and Resistance Mechanisms (5 papers) and Diet, Metabolism, and Disease (3 papers). The work is most often cited by research in Biochemistry (119 citations), Nutrition and Dietetics (246 citations), Biochemistry (67 citations), Surgery (431 citations) and Endocrinology, Diabetes and Metabolism (133 citations). Xiaobo Lin has collaborated with scholars based in United States, China and Sweden. Frequent co-authors include Richard E. Ostlund, Lina Ma, Susan B. Racette, Pin Yue, Gustav Schonfeld, Juan J. Loor, J.H. Herbein, Catherine Anderson Spearie, Zhouji Chen and Maurizio Averna. Their work appears in journals such as American Journal of Physiology-Gastrointestinal and Liver Physiology, Arteriosclerosis Thrombosis and Vascular Biology, Circulation, Journal of Lipid Research and British Journal Of Nutrition.

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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