Xiaoling Guan

520 citations
17 papers · 395 · h-index 10

Impact in

Papers in

    • RNA Interference and Gene Delivery 5
    • Extracellular vesicles in disease 5
    • Protein Degradation and Inhibitors 3
    • Ubiquitin and proteasome pathways 2
    • Phytochemical compounds biological activities 2
    • Advanced biosensing and bioanalysis techniques 2

Xiaoling Guan

17 papers receiving 387 citations

Peers

Xiaoling Guan
Comparison fields: 5 of 75
  • Biochemistry 43
  • Drug Discovery 1
  • Molecular Biology 211
  • Bioengineering 17
  • Biomaterials 28
Replace Mehdi Evazalipour with:
Mehdi Evazalipour Iran
William Wolter United States
Kashif Azizuddin United States
Simone Marques Bolonheis Brazil
Qin Tang China
Kumar Subramanian Finland
Mohini Kamra India
Debasmita Dutta United States
Ayfer Yurt Kılçar Türkiye
Dandan Jiang China
Xiaoling Guan relative to Mehdi Evazalipour Iran Mehdi Evazalipour's profile →
Citations per field
00.5×3.8×
Mehdi Evazalipour · 1×
Citations per year

Countries citing papers authored by Xiaoling Guan

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoling Guan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 200899
2 202161
3 202350
4 200830
5 202429
6 202325
7 202324
8 201218
9 201115
10 202313
11 20239
12 20236
13 20235
14 20215
15 20244
16 20251
17 20251

About Xiaoling Guan

Xiaoling Guan is a scholar working on Molecular Biology, Immunology, Biomedical Engineering, Oncology and Polymers and Plastics, having authored 17 papers that have together received 395 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (5 papers), Extracellular vesicles in disease (5 papers), Nanoplatforms for cancer theranostics (4 papers), Protein Degradation and Inhibitors (3 papers), Peptidase Inhibition and Analysis (3 papers), Ubiquitin and proteasome pathways (2 papers), Phytochemical compounds biological activities (2 papers) and Advanced biosensing and bioanalysis techniques (2 papers). The work is most often cited by research in Biochemistry (43 citations), Drug Discovery (1 citation), Molecular Biology (211 citations), Bioengineering (17 citations) and Biomaterials (28 citations). Xiaoling Guan has collaborated with scholars based in China and Canada. Frequent co-authors include Liming Zhou, Gang Luo, Lingmin Zhang, Yinshan Lin, Songpei Li, Jionghua Huang, Xingyu Jiang, Mengmeng Yi, Baoyan Wang and Zhixing Su. Their work appears in journals such as Journal of Nanobiotechnology, Colloids and Surfaces B Biointerfaces, International Journal of Nanomedicine, Frontiers in Bioengineering and Biotechnology 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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