Kun Ma

6.6k citations
170 papers · 5.1k · 1 hit paper · h-index 36

Impact in

Papers in

    • Nanoparticle-Based Drug Delivery 11
    • Advanced biosensing and bioanalysis techniques 11
    • RNA Interference and Gene Delivery 11

Kun Ma

156 papers receiving 5.0k citations

Kun Ma's Hit Papers

miRTarBase update 2022: an informative resource for experimentally validated miRNA–target interactions 2021 · 665 citations
6650+1+3Years since publication200400600

Peers

Kun Ma
Comparison fields: 5 of 151
  • Cell Biology 791
  • Biomaterials 647
  • Cancer Research 529
  • Molecular Biology 2.0k
  • Toxicology 98
Replace Ji Li with:
Ji Li China
Zhiping Li China
Jing L. Liu China
Brian S. Cummings United States
Irene E. Kochevar United States
Yang Li China
Michael V. Berridge New Zealand
Erqun Song China
Salik Hussain United States
Yuqi Wang China
Kun Ma relative to Ji Li China Ji Li's profile →
Citations per field
00.5×1.5×1.8×
Ji Li · 1×
Citations per year

Countries citing papers authored by Kun Ma

Since Specialization
Citations

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

Fields of papers citing papers by Kun Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 170 papers — load more, or switch the sort, to bring in the rest.

#Work
1
miRTarBase update 2022: an informative resource for experimentally validated miRNA–target interactions
Hit paper breakdown →
2021665
2 2002537
3 2002214
4 2013190
5 2018185
6 2010137
7 2012135
8 2000126
9 2013116
10 2023101
11 2000100
12 201984
13 201383
14 202173
15 201670
16 201270
17 201767
18 201165
19 201863
20 200962

About Kun Ma

Kun Ma is a scholar working on Biomaterials, Molecular Biology, Soil Science, Cell Biology and Reproductive Medicine, having authored 170 papers that have together received 5.1k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (12 papers), Advanced biosensing and bioanalysis techniques (11 papers), RNA Interference and Gene Delivery (11 papers), Nanoparticle-Based Drug Delivery (11 papers), Reproductive System and Pregnancy (8 papers), Soil Carbon and Nitrogen Dynamics (8 papers), Advanced Nanomaterials in Catalysis (6 papers) and Nanocluster Synthesis and Applications (6 papers). The work is most often cited by research in Cell Biology (791 citations), Biomaterials (647 citations), Cancer Research (529 citations), Molecular Biology (2.0k citations) and Toxicology (98 citations). Kun Ma has collaborated with scholars based in China, United States and France. Frequent co-authors include Ronald C. Wek, Krishna M. Vattem, Yong Shao, Zhaoming Guo, Changhao Cui, Ami T. Frank, MAUREEN A. GANNON, Peichuan Zhang, Douglas R. Cavener and Barbara C. McGrath. Their work appears in journals such as International Journal of Pharmaceutics, International Journal of Biological Macromolecules, Journal of Colloid and Interface Science, Journal of Materials Chemistry B and Acta Biomaterialia.

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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