Xiaolin Niu

2.6k citations
86 papers · 2.0k · h-index 26

Impact in

Papers in

Xiaolin Niu

83 papers receiving 2.0k citations

Peers

Xiaolin Niu
Comparison fields: 5 of 128
  • Cardiology and Cardiovascular Medicine 457
  • Nutrition and Dietetics 195
  • Cancer Research 167
  • Molecular Medicine 59
  • Molecular Biology 710
Replace Jing Wen with:
Jing Wen China
Yuhong Liu China
Tomonaga Ichikawa Japan
Huimin Yu China
Duan‐Fang Liao China
Paul W. Hake United States
Dina M. Abo‐Elmatty Egypt
Tao Su China
Sang‐Wook Kang South Korea
Xiaolin Niu relative to Jing Wen China Jing Wen's profile →
Citations per field
00.5×1.5×2.3×
Jing Wen · 1×
Citations per year

Countries citing papers authored by Xiaolin Niu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaolin Niu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013173
2 2010134
3 2012111
4 202374
5 200972
6 202067
7 200863
8 200761
9 202260
10 201449
11 200647
12 201046
13 201443
14 202041
15 201240
16 201437
17 201336
18 200935
19 201334
20 201131

About Xiaolin Niu

Xiaolin Niu is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Pathology and Forensic Medicine, Nutrition and Dietetics and Physiology, having authored 86 papers that have together received 2.0k indexed citations. Recurring topics across this work include Selenium in Biological Systems (7 papers), Cardiac Ischemia and Reperfusion (6 papers), Nitric Oxide and Endothelin Effects (5 papers), Peroxisome Proliferator-Activated Receptors (5 papers), Cardiac electrophysiology and arrhythmias (4 papers), Ruminant Nutrition and Digestive Physiology (4 papers), Signaling Pathways in Disease (4 papers) and Reproductive Physiology in Livestock (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (457 citations), Nutrition and Dietetics (195 citations), Cancer Research (167 citations), Molecular Medicine (59 citations) and Molecular Biology (710 citations). Xiaolin Niu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Dengfeng Gao, Zhe Meng, Chao Yan, Qian Deng, Ning Ning, Guang Hao, Zhen Meng, Ning Ning, Zhongwei Liu and Lili A. Barouch. Their work appears in journals such as PLoS ONE, Biological Trace Element Research, International Journal of Molecular Medicine, International Immunopharmacology and Journal of Molecular and Cellular Cardiology.

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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