Xiaobo Li

2.3k citations
69 papers · 1.7k · h-index 25

Impact in

Papers in

    • Cholesterol and Lipid Metabolism 15
    • Pancreatic function and diabetes 4
    • Peroxisome Proliferator-Activated Receptors 6
    • Epigenetics and DNA Methylation 5

Xiaobo Li

68 papers receiving 1.7k citations

Peers

Xiaobo Li
Comparison fields: 5 of 118
  • Cancer Research 238
  • Pharmacology 109
  • Biochemistry 84
  • Surgery 395
  • Oncology 237
Replace Christophe Blanquart with:
Christophe Blanquart France
Sachiko Watanabe Japan
Tomomi Fujii Japan
Kenichi Harada Japan
Leyuan Xu United States
Léa Payen France
Jingjie Tang China
Yasuhito Kobayashi Japan
Ye Tian China
Frank Jacobs Belgium
Xiaobo Li relative to Christophe Blanquart France Christophe Blanquart's profile →
Citations per field
00.5×1.5×1.8×
Christophe Blanquart · 1×
Citations per year

Countries citing papers authored by Xiaobo Li

Since Specialization
Citations

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

Fields of papers citing papers by Xiaobo Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021151
2 202088
3 201681
4 200774
5 200869
6 202258
7 201957
8 202056
9 202455
10 200753
11 200852
12 200647
13 201544
14 202236
15 201735
16 200633
17 201732
18 201832
19 202229
20 201928

About Xiaobo Li

Xiaobo Li is a scholar working on Surgery, Molecular Biology, Oncology, Epidemiology and Pharmacology, having authored 69 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (15 papers), Drug Transport and Resistance Mechanisms (14 papers), Liver Disease Diagnosis and Treatment (12 papers), Drug-Induced Hepatotoxicity and Protection (7 papers), Peroxisome Proliferator-Activated Receptors (6 papers), Epigenetics and DNA Methylation (5 papers), Pancreatic function and diabetes (4 papers) and Pharmacogenetics and Drug Metabolism (3 papers). The work is most often cited by research in Cancer Research (238 citations), Pharmacology (109 citations), Biochemistry (84 citations), Surgery (395 citations) and Oncology (237 citations). Xiaobo Li has collaborated with scholars based in China, United States and Montenegro. Frequent co-authors include Shunlin Ren, William M. Pandak, Dongke Xu, Lianhua Yin, Phillip B. Hylemon, Ning Sun, Xiaohong Lei, Yanxia Ning, Yongjie Ma and Yufan Zheng. Their work appears in journals such as Biochemical and Biophysical Research Communications, Journal of Lipid Research, Lipids in Health and Disease, International Journal of Biological Sciences and eLife.

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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