Xiaoli Chen

1.4k citations
59 papers · 1.1k · h-index 18

Impact in

    • Immune Cell Function and Interaction
    • Cancer-related molecular mechanisms research
    • Cancer, Hypoxia, and Metabolism

Papers in

Xiaoli Chen

55 papers receiving 1.1k citations

Peers

Xiaoli Chen
Comparison fields: 5 of 121
  • Immunology 163
  • Cancer Research 104
  • Hematology 72
  • Oncology 157
  • Physiology 21
Replace Slavko Mojsilović with:
Slavko Mojsilović Serbia
Ryan C. Hill United States
Tianshu Zhang United States
Vincenzo Petrozza Italy
Shulian Li China
Qi Yang China
Yosuke Kanno Japan
Jiali Cheng China
Janet Chamberlain United Kingdom
Rui Wu China
Xiaoli Chen relative to Slavko Mojsilović Serbia Slavko Mojsilović's profile →
Citations per field
00.5×
Slavko Mojsilović · 1×
Citations per year

Countries citing papers authored by Xiaoli Chen

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoli Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012204
2 2014103
3 201097
4 201657
5 201056
6 201651
7 200438
8 201638
9 201837
10 201337
11 201431
12 202225
13 202124
14 200723
15 201722
16 202219
17 202117
18 201517
19 202215
20 202215

About Xiaoli Chen

Xiaoli Chen is a scholar working on Materials Chemistry, Biomedical Engineering, Molecular Biology, Hematology and Physiology, having authored 59 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Frequency and Time Standards (4 papers), Cold Atom Physics and Bose-Einstein Condensates (4 papers), Alzheimer's disease research and treatments (3 papers), Pluripotent Stem Cells Research (3 papers), Advanced Nanomaterials in Catalysis (3 papers), Perovskite Materials and Applications (3 papers), Nanoplatforms for cancer theranostics (3 papers) and Calcium signaling and nucleotide metabolism (2 papers). The work is most often cited by research in Immunology (163 citations), Cancer Research (104 citations), Hematology (72 citations), Oncology (157 citations) and Physiology (21 citations). Xiaoli Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Hong Guo, Daozhong Jin, Mark Α. Zern, Shilpa Lingala, Boris H. Ruebner, Xiaofeng Qian, Yiyao Cui, Junke Zheng, Huan‐You Wang and HoangDinh Huynh. Their work appears in journals such as Review of Scientific Instruments, Nano Letters, Chemical Communications, Stem Cell Research and ACS Applied Materials & Interfaces.

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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