Baolin Li

2.0k citations
43 papers · 1.6k · h-index 17

Impact in

Papers in

    • Wnt/β-catenin signaling in development and cancer 3
    • RNA modifications and cancer 3
    • Genomics and Chromatin Dynamics 3
    • Cancer-related Molecular Pathways 5

Baolin Li

40 papers receiving 1.6k citations

Peers

Baolin Li
Comparison fields: 5 of 122
  • Developmental Neuroscience 128
  • Physiology 546
  • Cellular and Molecular Neuroscience 377
  • Neurology 114
  • Neurology 177
Replace Uwe Ueberham with:
Uwe Ueberham Germany
Xunde Xian China
Noriaki Mitsuda Japan
Tomohiro Chiba Japan
Nunzio Vicario Italy
Tania Nikolcheva Switzerland
Kaori Yasutake Japan
Maureen E. Balestra United States
Sung‐Jin Jeong South Korea
Gail Walkinshaw United States
Baolin Li relative to Uwe Ueberham Germany Uwe Ueberham's profile →
Citations per field
00.5×1.5×2.1×
Uwe Ueberham · 1×
Citations per year

Countries citing papers authored by Baolin Li

Since Specialization
Citations

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

Fields of papers citing papers by Baolin Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003265
2 2004247
3 2007143
4 2003125
5 2003111
6 2005105
7 199784
8 199867
9 200753
10 201853
11
Preferential overexpression of a 172Arg-->Leu mutant p53 in the mammary gland of transgenic mice results in altered lobuloalveolar development.
199450
12 200136
13 201035
14 201434
15 200423
16 201219
17 201119
18 202115
19 200215
20 200314

About Baolin Li

Baolin Li is a scholar working on Molecular Biology, Oncology, Physiology, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 43 papers that have together received 1.6k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (5 papers), Cancer-related Molecular Pathways (5 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Traditional Chinese Medicine Analysis (3 papers), RNA modifications and cancer (3 papers), Genomics and Chromatin Dynamics (3 papers), Bone health and osteoporosis research (2 papers) and Cancer Research and Treatments (2 papers). The work is most often cited by research in Developmental Neuroscience (128 citations), Physiology (546 citations), Cellular and Molecular Neuroscience (377 citations), Neurology (114 citations) and Neurology (177 citations). Baolin Li has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Su Yuan, Yan Zhou, Binhui Ni, John Ryder, Rugao Liu, Feng Liu, Xin Wu, David Gozal, Chun Luo and Jeffrey M. Rosen. Their work appears in journals such as Scientific Reports, Journal of Separation Science, Evidence-based Complementary and Alternative Medicine, Oncogene and Organic Chemistry Frontiers.

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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