Kun Peng

57 papers receiving 1.1k citations

Kun Peng's Hit Papers

Organometallic anti-tumor agents: targeting from biomolecules to dynamic bioprocesses 2023 · 116 citations
1160+1+2Years since publication255075100

Peers

Kun Peng
Comparison fields: 5 of 112
  • Organic Chemistry 335
  • Biomaterials 114
  • Oncology 222
  • Drug Discovery 1
  • Computer Vision and Pattern Recognition 118
Replace Junghun Suh with:
Junghun Suh South Korea
Seulgi Kim South Korea
Chu Tang China
Christian Lehmann Germany
Yulin Wu China
Nicolas Szita United Kingdom
Hongjia Li China
Rabia Arshad Pakistan
Xinyu Liu China
Yanfang Wang China
Kun Peng relative to Junghun Suh South Korea Junghun Suh's profile →
Citations per field
00.5×7.8×
Junghun Suh · 1×
Citations per year

Countries citing papers authored by Kun Peng

Since Specialization
Citations

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

Fields of papers citing papers by Kun Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021129
2
Organometallic anti-tumor agents: targeting from biomolecules to dynamic bioprocesses
Hit paper breakdown →
2023116
3 202262
4 201260
5 202148
6 201547
7 201145
8 201343
9 201337
10 200735
11 201934
12 200531
13 201130
14 200229
15 202328
16 202322
17 201722
18 201220
19 201719
20 201519

About Kun Peng

Kun Peng is a scholar working on Organic Chemistry, Oncology, Materials Chemistry, Molecular Biology and Computer Vision and Pattern Recognition, having authored 61 papers that have together received 1.1k indexed citations. Recurring topics across this work include Metal complexes synthesis and properties (13 papers), Advanced Vision and Imaging (7 papers), Metal-Organic Frameworks: Synthesis and Applications (5 papers), Optical measurement and interference techniques (5 papers), Magnetism in coordination complexes (5 papers), Click Chemistry and Applications (4 papers), Microbial Natural Products and Biosynthesis (3 papers) and Electrospun Nanofibers in Biomedical Applications (3 papers). The work is most often cited by research in Organic Chemistry (335 citations), Biomaterials (114 citations), Oncology (222 citations), Drug Discovery (1 citation) and Computer Vision and Pattern Recognition (118 citations). Kun Peng has collaborated with scholars based in China, Germany and Taiwan. Frequent co-authors include Zong‐Wan Mao, Yupeng Zheng, Bing‐Bing Liang, Wenting Liu, Wei Xia, Biao Wang, Ulrich Schatzschneider, Xianghua Ying, Henry Fuchs and Chunyu Chang. Their work appears in journals such as Chemical Communications, Angewandte Chemie International Edition, Organometallics, Inorganic Chemistry and Journal of Applied Polymer Science.

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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