Xiaofeng Mu

1.5k citations
43 papers · 1.0k · 1 hit paper · h-index 15

Impact in

Papers in

Xiaofeng Mu

38 papers receiving 1.0k citations

Xiaofeng Mu's Hit Papers

Spatial transcriptomics: Technologies, applications and experimental considerations 2023 · 121 citations
1210+1+2Years since publication4080120

Peers

Xiaofeng Mu
Comparison fields: 5 of 116
  • Microbiology 76
  • Cancer Research 133
  • Immunology 178
  • Oncology 211
  • Periodontics 35
Replace Tetsuro Okamoto with:
Tetsuro Okamoto Japan
Charles J. Cox United Kingdom
Yueyun Ma China
Karine Atlan Israel
Sanjun Cai China
Anna Löfgren‐Burström Sweden
Marie Vétizou France
Xueping Wang China
Núria Planell Spain
Hazel Tye Australia
Xiaofeng Mu relative to Tetsuro Okamoto Japan Tetsuro Okamoto's profile →
Citations per field
00.5×10×20×29.5×
Tetsuro Okamoto · 1×
Citations per year

Countries citing papers authored by Xiaofeng Mu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaofeng Mu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021162
2
Spatial transcriptomics: Technologies, applications and experimental considerations
Hit paper breakdown →
2023121
3 2018104
4 201892
5 202078
6 201971
7 202249
8 202047
9 202245
10 201744
11 202041
12 202028
13 201923
14 201522
15 202215
16 201913
17 202312
18 201910
19 20207
20 20196

About Xiaofeng Mu

Xiaofeng Mu is a scholar working on Cancer Research, Microbiology, Molecular Biology, Immunology and Oncology, having authored 43 papers that have together received 1.0k indexed citations. Recurring topics across this work include Gut microbiota and health (6 papers), Topic Modeling (4 papers), Natural Language Processing Techniques (4 papers), Advanced biosensing and bioanalysis techniques (4 papers), Biosensors and Analytical Detection (3 papers), Immune Cell Function and Interaction (3 papers), Cervical Cancer and HPV Research (3 papers) and Molecular Biology Techniques and Applications (3 papers). The work is most often cited by research in Microbiology (76 citations), Cancer Research (133 citations), Immunology (178 citations), Oncology (211 citations) and Periodontics (35 citations). Xiaofeng Mu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Gexin Zhao, Ye Wang, Anton A. Buzdin, Junjie Yang, Chunling Zhang, Dequan Zhu, Lei Zhang, Xin Zhou, Zhuang Tong and Cheng Liang. Their work appears in journals such as Frontiers in Oncology, Ecotoxicology and Environmental Safety, Communications Biology, Frontiers in Immunology and BMC Infectious Diseases.

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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