Xiaodan Qin

522 citations
25 papers · 400 · h-index 12

Impact in

Papers in

    • Advanced biosensing and bioanalysis techniques 2
    • Signaling Pathways in Disease 2
    • Zebrafish Biomedical Research Applications 3

Xiaodan Qin

24 papers receiving 397 citations

Peers

Xiaodan Qin
Comparison fields: 5 of 88
  • Cancer Research 84
  • Developmental Neuroscience 15
  • Hematology 33
  • Immunology 62
  • Biophysics 15
Replace Xiaolu Zhang with:
Xiaolu Zhang China
Linda Sleire Norway
Injae Shin South Korea
Paulius Grigaravičius Germany
Niyati Jhaveri United States
Alexander G. Goglia United States
Silvia Senese United States
Jorge Falces Spain
Beena Gangadharan United States
Xiaodan Qin relative to Xiaolu Zhang China Xiaolu Zhang's profile →
Citations per field
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Xiaolu Zhang · 1×
Citations per year

Countries citing papers authored by Xiaodan Qin

Since Specialization
Citations

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

Fields of papers citing papers by Xiaodan Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201855
2 202144
3 201841
4 201639
5 201733
6 202123
7 201923
8 202122
9 201921
10 202120
11 201815
12 202011
13 202210
14 20207
15 20175
16 20205
17 20244
18 20204
19 20224
20 20244

About Xiaodan Qin

Xiaodan Qin is a scholar working on Molecular Biology, Cell Biology, Cancer Research, Biomedical Engineering and Materials Chemistry, having authored 25 papers that have together received 400 indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (3 papers), Zebrafish Biomedical Research Applications (3 papers), Multiple Myeloma Research and Treatments (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), Nanoplatforms for cancer theranostics (2 papers), Advanced Nanomaterials in Catalysis (2 papers), Signaling Pathways in Disease (2 papers) and Nanocluster Synthesis and Applications (2 papers). The work is most often cited by research in Cancer Research (84 citations), Developmental Neuroscience (15 citations), Hematology (33 citations), Immunology (62 citations) and Biophysics (15 citations). Xiaodan Qin has collaborated with scholars based in China and United States. Frequent co-authors include Hui Feng, Xiao‐Jun Huang, Liang Lin, Jie Hao, Jin Lu, Qing Ge, Bo Song, Jingli Yuan, Wenbo Shi and Li Cao. Their work appears in journals such as International Journal of Biological Macromolecules, Journal of Visualized Experiments, Nanoscale, Information Sciences and Scientific Reports.

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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