Xiaoling Li

4.8k citations
119 papers · 3.7k · h-index 34

Impact in

Papers in

    • Viral-associated cancers and disorders 9
    • Cancer-related Molecular Pathways 7
    • Lung Cancer Research Studies 6
    • Ubiquitin and proteasome pathways 4

Xiaoling Li

111 papers receiving 3.7k citations

Peers

Xiaoling Li
Comparison fields: 5 of 138
  • Cancer Research 506
  • Developmental Neuroscience 127
  • Pharmaceutical Science 202
  • Neurology 238
  • Oncology 671
Replace Nausicaa Clemente with:
Nausicaa Clemente Italy
Danyang Chen China
Bin He China
Yi Luo China
Pankaj Seth India
Noelle S. Williams United States
Andrew F. G. Quest Chile
Cameron J. Nowell Australia
Julio Sotelo Mexico
Kathleen L. Gabrielson United States
Xiaoling Li relative to Nausicaa Clemente Italy Nausicaa Clemente's profile →
Citations per field
00.5×3.9×
Nausicaa Clemente · 1×
Citations per year

Countries citing papers authored by Xiaoling Li

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoling Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 119 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004256
2 2019228
3 1997222
4 1998207
5 2018147
6 2000129
7 2014119
8 201695
9 200790
10 201789
11 201888
12 201383
13 199783
14 201774
15 200673
16 201172
17 201071
18 201868
19 199965
20 200764

About Xiaoling Li

Xiaoling Li is a scholar working on Oncology, Molecular Biology, Cellular and Molecular Neuroscience, Neurology and Immunology, having authored 119 papers that have together received 3.7k indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (9 papers), Cancer-related Molecular Pathways (7 papers), Lung Cancer Research Studies (6 papers), Axon Guidance and Neuronal Signaling (6 papers), Cancer-related molecular mechanisms research (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Ubiquitin and proteasome pathways (4 papers) and Barrier Structure and Function Studies (4 papers). The work is most often cited by research in Cancer Research (506 citations), Developmental Neuroscience (127 citations), Pharmaceutical Science (202 citations), Neurology (238 citations) and Oncology (671 citations). Xiaoling Li has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include Guiyuan Li, Gloria C. Li, David J. Chen, Honghai Ouyang, Xiayu Li, Louise D. McCullough, Zhiyuan Zeng, A. Courtney DeVries, Patricia D. Hurn and Kathleen K. Blizzard. Their work appears in journals such as Acta Biochimica et Biophysica Sinica, PLoS ONE, Proceedings of the National Academy of Sciences, Asian Journal of Psychiatry and Heliyon.

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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