Bai‐Yan Li

1.7k citations
103 papers · 1.4k · h-index 21

Impact in

Papers in

    • Ion channel regulation and function 14
    • Wnt/β-catenin signaling in development and cancer 9
    • Ubiquitin and proteasome pathways 7
    • Bone health and treatments 13
    • Cancer Cells and Metastasis 8

Bai‐Yan Li

101 papers receiving 1.4k citations

Peers

Bai‐Yan Li
Comparison fields: 5 of 110
  • Sensory Systems 106
  • Endocrine and Autonomic Systems 135
  • Oncology 329
  • Molecular Biology 744
  • Cancer Research 156
Replace Gijsbertus J. Pronk with:
Gijsbertus J. Pronk Netherlands
Jianliang Zhang China
Marie‐Gabrielle Ludwig Switzerland
Andrew J. Wilson United States
Luqing Zhang China
Pieter J. Peeters Belgium
Namik Kaya Saudi Arabia
Yasuhiro Kita Japan
Masazumi Kamohara Japan
Inja Lim South Korea
Bai‐Yan Li relative to Gijsbertus J. Pronk Netherlands Gijsbertus J. Pronk's profile →
Citations per field
00.5×4.5×
Gijsbertus J. Pronk · 1×
Citations per year

Countries citing papers authored by Bai‐Yan Li

Since Specialization
Citations

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

Fields of papers citing papers by Bai‐Yan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 103 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200762
2 201661
3 201752
4 200950
5 202149
6 202049
7 201847
8 201740
9 202033
10 202132
11 202131
12 201530
13 201829
14 202127
15 201327
16 201926
17 200726
18 202124
19 202122
20 201922

About Bai‐Yan Li

Bai‐Yan Li is a scholar working on Molecular Biology, Oncology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine and Physiology, having authored 103 papers that have together received 1.4k indexed citations. Recurring topics across this work include Ion channel regulation and function (14 papers), Bone health and treatments (13 papers), Heart Rate Variability and Autonomic Control (9 papers), Neuroscience and Neuropharmacology Research (9 papers), Wnt/β-catenin signaling in development and cancer (9 papers), Neuroscience of respiration and sleep (8 papers), Cancer Cells and Metastasis (8 papers) and Ubiquitin and proteasome pathways (7 papers). The work is most often cited by research in Sensory Systems (106 citations), Endocrine and Autonomic Systems (135 citations), Oncology (329 citations), Molecular Biology (744 citations) and Cancer Research (156 citations). Bai‐Yan Li has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Hiroki Yokota, John H. Schild, Shengzhi Liu, Guo‐Fen Qiao, Andy Chen, Yao Fan, Sungsoo Na, Xun Sun, Harikrishna Nakshatri and Feng Yan. Their work appears in journals such as Cancers, The FASEB Journal, Theranostics, CNS Neuroscience & Therapeutics and Acta Pharmacologica Sinica.

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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