Xiaoling Li

4.8k citations
120 papers · 3.8k · h-index 35

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

112 papers receiving 3.7k citations

Peers

Xiaoling Li
Comparison fields: 5 of 139
  • Cancer Research 510
  • Pharmaceutical Science 220
  • Developmental Neuroscience 130
  • Neurology 247
  • Oncology 684
Replace Nausicaa Clemente with:
Nausicaa Clemente Italy
Danyang Chen China
Valérie Nicolas France
Bin He China
Yi Luo China
Pankaj Seth India
Cameron J. Nowell Australia
Andrew F. G. Quest Chile
Noelle S. Williams United States
Burkhard Kleuser Germany
Xiaoling Li relative to Nausicaa Clemente Italy Nausicaa Clemente's profile →
Citations per field
00.5×3.8×
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 120 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004269
2 1997230
3 2019229
4 1998214
5 2018157
6 2000133
7 2014119
8 2016100
9 200791
10 201789
11 201888
12 199788
13 201386
14 201774
15 200674
16 201073
17 201173
18 199972
19 201868
20 200765

About Xiaoling Li

Xiaoling Li is a scholar working on Oncology, Molecular Biology, Cellular and Molecular Neuroscience, Neurology and Immunology, having authored 120 papers that have together received 3.8k 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), Advanced Drug Delivery Systems (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Ubiquitin and proteasome pathways (4 papers). The work is most often cited by research in Cancer Research (510 citations), Pharmaceutical Science (220 citations), Developmental Neuroscience (130 citations), Neurology (247 citations) and Oncology (684 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, Kathleen K. Blizzard, Zhiyuan Zeng, Louise D. McCullough, Patricia D. Hurn and A. Courtney DeVries. Their work appears in journals such as Acta Biochimica et Biophysica Sinica, RSC Advances, Journal of Materials Chemistry B, Asian Journal of Psychiatry and PLoS ONE.

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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