Xiaodan Cao

1.1k citations
45 papers · 906 · h-index 20

Impact in

Papers in

    • Bacterial biofilms and quorum sensing 7
    • Advanced biosensing and bioanalysis techniques 6
    • Vibrio bacteria research studies 10

Xiaodan Cao

44 papers receiving 901 citations

Peers

Xiaodan Cao
Comparison fields: 5 of 93
  • Endocrinology 299
  • Immunology 202
  • Molecular Biology 437
  • Spectroscopy 91
  • Bioengineering 29
Replace Tore‐Geir Iversen with:
Tore‐Geir Iversen Norway
Suri S. Iyer United States
Shouguang Jin United States
Linfeng Xie China
Nick Geukens Belgium
Nao Yamakawa France
Mathieu Erhardt France
Paolo Natale Spain
Dorit Michaeli Israel
Ryūji Fukuda Japan
Xiaodan Cao relative to Tore‐Geir Iversen Norway Tore‐Geir Iversen's profile →
Citations per field
00.5×4.3×
Tore‐Geir Iversen · 1×
Citations per year

Countries citing papers authored by Xiaodan Cao

Since Specialization
Citations

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

Fields of papers citing papers by Xiaodan Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201991
2 201068
3 201255
4 200854
5 201147
6 200843
7 201141
8 200840
9 201538
10
A VEGFR1 antagonistic peptide inhibits tumor growth and metastasis through VEGFR1-PI3K-AKT signaling pathway inhibition.
201535
11 201529
12 201727
13 202026
14 201524
15 201424
16 200723
17 201123
18 201721
19 201020
20 201919

About Xiaodan Cao

Xiaodan Cao is a scholar working on Molecular Biology, Endocrinology, Immunology, Biomedical Engineering and Materials Chemistry, having authored 45 papers that have together received 906 indexed citations. Recurring topics across this work include Vibrio bacteria research studies (10 papers), Bacterial biofilms and quorum sensing (7 papers), Aquaculture disease management and microbiota (7 papers), Advanced biosensing and bioanalysis techniques (6 papers), Molecular Sensors and Ion Detection (6 papers), Supramolecular Chemistry and Complexes (4 papers), Advanced Fluorescence Microscopy Techniques (4 papers) and Photoreceptor and optogenetics research (4 papers). The work is most often cited by research in Endocrinology (299 citations), Immunology (202 citations), Molecular Biology (437 citations), Spectroscopy (91 citations) and Bioengineering (29 citations). Xiaodan Cao has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Qiyao Wang, Qin Liu, Yuanxing Zhang, Tim Miyashiro, Edward G. Ruby, Yuanxing Zhang, Michael S. Wollenberg, Richard A. Bartsch, Yue Ma and Huan Liu. Their work appears in journals such as Archives of Microbiology, Tetrahedron, Molecular Microbiology, Biotechnology Letters and Analytical and Bioanalytical Chemistry.

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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