Xiaobo Lin

29 papers receiving 985 citations

Peers

Xiaobo Lin
Comparison fields: 5 of 88
  • Biochemistry 121
  • Nutrition and Dietetics 238
  • Biochemistry 69
  • Surgery 438
  • Endocrinology, Diabetes and Metabolism 119
Replace Hana Levkovitz with:
Hana Levkovitz Israel
R. Dargel Germany
Ann M. Lees United States
Harumi Uto‐Kondo Japan
Jelena Arambašić Јovanović Serbia
Michael G. Backlund United States
Tateo Kawase Japan
Hassan Nazih France
Karina Reyes‐Gordillo United States
Annie M. Bérard France
Xiaobo Lin relative to Hana Levkovitz Israel Hana Levkovitz's profile →
Citations per field
00.5×
Hana Levkovitz · 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 2009133
2 200989
3 200464
4 200664
5 201363
6 200452
7 201149
8 201548
9 200841
10 200939
11 201139
12 200239
13 200638
14 200336
15 201729
16 201726
17 200225
18 201721
19 202221
20 201520

About Xiaobo Lin

Xiaobo Lin is a scholar working on Surgery, Molecular Biology, Epidemiology, Biochemistry and Nutrition and Dietetics, having authored 30 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (12 papers), Lipid metabolism and biosynthesis (6 papers), Liver Disease Diagnosis and Treatment (5 papers), Steroid Chemistry and Biochemistry (5 papers), Drug Transport and Resistance Mechanisms (4 papers), Fatty Acid Research and Health (3 papers), Cancer, Lipids, and Metabolism (3 papers) and Peroxisome Proliferator-Activated Receptors (3 papers). The work is most often cited by research in Biochemistry (121 citations), Nutrition and Dietetics (238 citations), Biochemistry (69 citations), Surgery (438 citations) and Endocrinology, Diabetes and Metabolism (119 citations). Xiaobo Lin has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Richard E. Ostlund, Lina Ma, Susan B. Racette, Pin Yue, Gustav Schonfeld, J.H. Herbein, Juan J. Loor, Catherine Anderson Spearie, Zhouji Chen and Michael Lefevre. Their work appears in journals such as American Journal of Physiology-Gastrointestinal and Liver Physiology, Arteriosclerosis Thrombosis and Vascular Biology, Journal of Lipid Research, British Journal Of Nutrition and Circulation.

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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