Xiaoling Guan

842 citations
31 papers · 672 · h-index 14

Impact in

Papers in

    • Toxic Organic Pollutants Impact 5
    • Air Quality and Health Impacts 4
    • Effects and risks of endocrine disrupting chemicals 3
    • Protein Degradation and Inhibitors 4
    • RNA Interference and Gene Delivery 4
    • Extracellular vesicles in disease 4

Xiaoling Guan

30 papers receiving 659 citations

Peers

Xiaoling Guan
Comparison fields: 5 of 100
  • Biochemistry 47
  • Drug Discovery 1
  • Cancer Research 60
  • Health, Toxicology and Mutagenesis 60
  • Molecular Biology 252
Replace Shankar Suman with:
Shankar Suman India
Sangyong Choi United States
Shinji Oikawa Japan
Yuan Xu China
Ching‐Yi Hsieh United States
Deyi Yang China
Rupshee Jain India
Areum Daseul Kim South Korea
Kousuke Ishino Japan
Keisuke Oyama Japan
Xiaoling Guan relative to Shankar Suman India Shankar Suman's profile →
Citations per field
00.5×2×3×3.8×
Shankar Suman · 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

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008102
2 201370
3 202164
4 202356
5 202254
6 202436
7 202332
8 200831
9 202026
10 201224
11 202324
12 202318
13 201116
14 201515
15 202314
16 201914
17 202311
18 202211
19 20239
20 20148

About Xiaoling Guan

Xiaoling Guan is a scholar working on Health, Toxicology and Mutagenesis, Molecular Biology, Oncology, Immunology and Cancer Research, having authored 31 papers that have together received 672 indexed citations. Recurring topics across this work include Toxic Organic Pollutants Impact (5 papers), Nanoplatforms for cancer theranostics (4 papers), Protein Degradation and Inhibitors (4 papers), Air Quality and Health Impacts (4 papers), RNA Interference and Gene Delivery (4 papers), Extracellular vesicles in disease (4 papers), Peptidase Inhibition and Analysis (3 papers) and Effects and risks of endocrine disrupting chemicals (3 papers). The work is most often cited by research in Biochemistry (47 citations), Drug Discovery (1 citation), Cancer Research (60 citations), Health, Toxicology and Mutagenesis (60 citations) and Molecular Biology (252 citations). Xiaoling Guan has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Liming Zhou, Gang Luo, Lingmin Zhang, Yinshan Lin, Songpei Li, Jionghua Huang, Xingyu Jiang, Qinghua Zhang, Yingming Li and Gaoxin Zhang. Their work appears in journals such as The Science of The Total Environment, International Journal of Nanomedicine, Journal of Nanobiotechnology, Colloids and Surfaces B Biointerfaces and Frontiers in Bioengineering and Biotechnology.

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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