Kezhen Ge

569 citations
12 papers · 470 · h-index 10

Impact in

Papers in

    • Advanced biosensing and bioanalysis techniques 7
    • DNA and Nucleic Acid Chemistry 2
    • RNA Interference and Gene Delivery 2
    • Extracellular vesicles in disease 2
    • Nanocluster Synthesis and Applications 5
    • Advanced Nanomaterials in Catalysis 4
    • Carbon and Quantum Dots Applications 2

Kezhen Ge

12 papers receiving 467 citations

Peers

Kezhen Ge
Comparison fields: 5 of 59
  • Materials Chemistry 179
  • Electrochemistry 23
  • Physiology 87
  • Molecular Biology 234
  • Biomedical Engineering 145
Replace Jin Zhi Feng with:
Jin Zhi Feng China
Dawoon Han South Korea
Agnieszka Borowik United States
Xiaohan Liang China
Sayan Roy Chowdhury India
Graham Roseman United States
Michal Richman Israel
Zhiming Jin China
Laura Connelly United States
Na Hee Kim South Korea
Kezhen Ge relative to Jin Zhi Feng China Jin Zhi Feng's profile →
Citations per field
00.5×3.5×
Jin Zhi Feng · 1×
Citations per year

Countries citing papers authored by Kezhen Ge

Since Specialization
Citations

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

Fields of papers citing papers by Kezhen Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2020131
2 202290
3 202359
4 202058
5 202435
6 202132
7 202319
8 202115
9 202513
10 202210
11 20255
12 20243

About Kezhen Ge

Kezhen Ge is a scholar working on Molecular Biology, Materials Chemistry, Biomedical Engineering, Surgery and Epidemiology, having authored 12 papers that have together received 470 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (7 papers), Nanocluster Synthesis and Applications (5 papers), Advanced Nanomaterials in Catalysis (4 papers), Nanoplatforms for cancer theranostics (4 papers), DNA and Nucleic Acid Chemistry (2 papers), RNA Interference and Gene Delivery (2 papers), Carbon and Quantum Dots Applications (2 papers) and Extracellular vesicles in disease (2 papers). The work is most often cited by research in Materials Chemistry (179 citations), Electrochemistry (23 citations), Physiology (87 citations), Molecular Biology (234 citations) and Biomedical Engineering (145 citations). Kezhen Ge has collaborated with scholars based in China, Germany and Bangladesh. Frequent co-authors include Fenglei Gao, Deqin Geng, Jeremiah Ong’achwa Machuki, Yiming Yin, Xing Zhang, Na Li, Wenzhen Pan, Zhao Liu, Guofang Chen and Yanyan Yu. Their work appears in journals such as Analytical Chemistry, Chemical Engineering Journal, ACS Nano, Analytica Chimica Acta and Advanced Materials.

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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