Xiaoping Li

85 papers receiving 1.8k citations

Peers

Xiaoping Li
Comparison fields: 5 of 129
  • Genetics 219
  • Cellular and Molecular Neuroscience 213
  • Cancer Research 153
  • Molecular Biology 754
  • Immunology 213
Replace Urszula Wojda with:
Urszula Wojda Poland
Nancy R. Contel United States
Chun‐Fang Xia United States
Phong Nguyen United States
Maria Grazia Cattaneo Italy
Giacomo Pozzoli Italy
Daniel R. Premkumar United States
Sung‐Jen Wei United States
Elizabeth A. Milward Australia
Shaukat Ali Khan United States
Xiaoping Li relative to Urszula Wojda Poland Urszula Wojda's profile →
Citations per field
00.5×1.5×1.8×
Urszula Wojda · 1×
Citations per year

Countries citing papers authored by Xiaoping Li

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoping Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005214
2 2023142
3 1994117
4 2021104
5 2019101
6 201993
7 201173
8 202360
9 199849
10 200348
11 202447
12 201838
13 201937
14 202037
15 200635
16
Nifedipine induced autophagy through Beclin1 and mTOR pathway in endometrial carcinoma cells.
201232
17 202432
18 202232
19 202325
20 202425

About Xiaoping Li

Xiaoping Li is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Physiology and Cellular and Molecular Neuroscience, having authored 91 papers that have together received 1.9k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (6 papers), Neuropeptides and Animal Physiology (5 papers), Chronic Lymphocytic Leukemia Research (3 papers), Cardiac electrophysiology and arrhythmias (3 papers), Adipose Tissue and Metabolism (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Bipolar Disorder and Treatment (2 papers) and Dietary Effects on Health (2 papers). The work is most often cited by research in Genetics (219 citations), Cellular and Molecular Neuroscience (213 citations), Cancer Research (153 citations), Molecular Biology (754 citations) and Immunology (213 citations). Xiaoping Li has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Dimitar G. Efremov, Sara Marietti, Aleksandar Petlickovski, Qi Zhang, Maorun Zhang, Simona Sica, Patrizia Chiusolo, Jiahua Yang, Giuseppe G.M. Leone and Gang Liu. Their work appears in journals such as Frontiers in Medicine, Frontiers in Pharmacology, Life Sciences, Annals of Translational Medicine and Frontiers in Cardiovascular Medicine.

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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