Hua Pei

1.6k citations
74 papers · 1.1k · h-index 18

Impact in

  • Physiology top 5%
    • Calcium signaling and nucleotide metabolism
  • Oncology top 10%
    • PARP inhibition in cancer therapy

Papers in

Hua Pei

71 papers receiving 1.1k citations

Peers

Hua Pei
Comparison fields: 5 of 105
  • Physiology 60
  • Oncology 202
  • Molecular Biology 521
  • Cancer Research 79
  • Geriatrics and Gerontology 17
Replace Yujie Liu with:
Yujie Liu China
Małgorzata Firczuk Poland
Regine Süss Germany
Lacey R. McNally United States
Raquel Petrilli Brazil
Sonali B. Fonseca Canada
Juha A. E. Määttä Finland
Aman P. Mann United States
Andreja Ambriović‐Ristov Croatia
Rafael Góngora Spain
Hua Pei relative to Yujie Liu China Yujie Liu's profile →
Citations per field
00.5×1.5×2.1×
Yujie Liu · 1×
Citations per year

Countries citing papers authored by Hua Pei

Since Specialization
Citations

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

Fields of papers citing papers by Hua Pei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013146
2 2017110
3 199660
4 201055
5 202051
6 201936
7 202235
8 202029
9 202226
10 202125
11 201825
12 201725
13 202122
14 201921
15 202021
16 202221
17 202221
18 201818
19 201817
20 202017

About Hua Pei

Hua Pei is a scholar working on Molecular Biology, Biomedical Engineering, Oncology, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 74 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (22 papers), Monoclonal and Polyclonal Antibodies Research (10 papers), Biosensors and Analytical Detection (8 papers), Advanced Nanomaterials in Catalysis (8 papers), Burkholderia infections and melioidosis (7 papers), Advanced Biosensing Techniques and Applications (6 papers), PARP inhibition in cancer therapy (6 papers) and Toxin Mechanisms and Immunotoxins (5 papers). The work is most often cited by research in Physiology (60 citations), Oncology (202 citations), Molecular Biology (521 citations), Cancer Research (79 citations) and Geriatrics and Gerontology (17 citations). Hua Pei has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Stan G. Louie, Qianfeng Xia, Qiang Wu, Yong Zhang, Xiaonan Zhang, Qinqin Cheng, Jia Chen, Jie Tian, Yi Zheng and Jing Luo. Their work appears in journals such as Sensors and Actuators B Chemical, Chemical Science, Analytical Methods, Disease Markers and Biosensors and Bioelectronics.

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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