Xiumei Hu

1.6k citations
58 papers · 1.1k · h-index 17

Impact in

Papers in

    • Advanced biosensing and bioanalysis techniques 6
    • Extracellular vesicles in disease 5
    • Cancer-related molecular mechanisms research 6
    • MicroRNA in disease regulation 6

Xiumei Hu

55 papers receiving 1.1k citations

Peers

Xiumei Hu
Comparison fields: 5 of 102
  • Cancer Research 379
  • Molecular Medicine 66
  • Molecular Biology 687
  • Infectious Diseases 125
  • Microbiology 41
Replace Simo Huang with:
Simo Huang United States
Takashi Murakami Japan
Chris Parsons United States
Monica Cricca Italy
Mauricio Salcedo Mexico
Fatemeh Rahimi Jamnani Iran
Shuo Liu China
Mitra Ahmadi France
Simone M Guenther Ireland
Sun Hee Ahn South Korea
Xiumei Hu relative to Simo Huang United States Simo Huang's profile →
Citations per field
00.5×1.5×
Simo Huang · 1×
Citations per year

Countries citing papers authored by Xiumei Hu

Since Specialization
Citations

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

Fields of papers citing papers by Xiumei Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017368
2 201585
3 201558
4 202047
5 202242
6 201341
7 201141
8 201840
9 202130
10 202129
11 201129
12 201727
13 202025
14 201524
15 202220
16 202120
17 201318
18 202015
19 202114
20 202113

About Xiumei Hu

Xiumei Hu is a scholar working on Molecular Biology, Cancer Research, Epidemiology, Biomedical Engineering and Oncology, having authored 58 papers that have together received 1.1k indexed citations. Recurring topics across this work include Biosensors and Analytical Detection (6 papers), Advanced biosensing and bioanalysis techniques (6 papers), Cancer-related molecular mechanisms research (6 papers), MicroRNA in disease regulation (6 papers), Antibiotic Resistance in Bacteria (5 papers), Extracellular vesicles in disease (5 papers), Respiratory viral infections research (4 papers) and Viral Infections and Immunology Research (4 papers). The work is most often cited by research in Cancer Research (379 citations), Molecular Medicine (66 citations), Molecular Biology (687 citations), Infectious Diseases (125 citations) and Microbiology (41 citations). Xiumei Hu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Lei Zheng, Qian Wang, Taixue An, Baohong Ping, Xuping Xu, Yiyao Huang, Yong Xu, Sihua Qin, Yueting Tang and Ying-Song Wu. Their work appears in journals such as Analytical Chemistry, BMC Microbiology, Diagnostic Pathology, DNA and Cell Biology and Oncotarget.

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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