Chun‐Bo Teng

2.7k citations
62 papers · 2.2k indexed · 1 hit paper · h-index 25
Topics
MicroRNA in disease regulation (18 papers)Pancreatic function and diabetes (15 papers)Cancer-related molecular mechanisms research (9 papers)

In The Last Decade

Chun‐Bo Teng

62 papers receiving 2.2k citations

Hit Papers

Biomass-derived nitrogen-doped carbon quantum dots: highl...20182026202020232018100200300400500

Peers

Chun‐Bo Teng
Comparison fields: 5 of 118
  • Molecular Biology 884
  • Materials Chemistry 522
  • Cancer Research 442
  • Biomedical Engineering 208
  • Surgery 204
Replace Liang Ma with:
Liang Ma China
An Hong China
Haohuan Li China
Kai Guo China
Andreas Kampmann Germany
Sandeep Kumar India
Yuxin Wang China
Liang Jin China
Muhammad Qasim South Korea
Dan Huang China
Chun‐Bo Teng relative to Liang Ma China Liang Ma's profile →
Citations per field
00.5×10×14×
Liang Ma · 1×
Citations per year

Countries citing papers authored by Chun‐Bo Teng

Since Specialization
Citations

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

Fields of papers citing papers by Chun‐Bo Teng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chun‐Bo Teng. 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 Chun‐Bo Teng. The network helps show where Chun‐Bo Teng may publish in the future.

Co-authorship network of co-authors of Chun‐Bo Teng

This figure shows the co-authorship network connecting the top 25 collaborators of Chun‐Bo Teng. A scholar is included among the top collaborators of Chun‐Bo Teng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chun‐Bo Teng. Chun‐Bo Teng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 7
3 1
4 57
5 1
6 8
7 43
8 28
9 4
10 3
11
Biomass-derived nitrogen-doped carbon quantum dots: highly selective fluorescent probe for detecting Fe3+ ions and tetracyclinesbreakdown →
537
12 44
13 59
14 14
15 85
16 53
17 6
18 9
19 24
20 41

About Chun‐Bo Teng

Chun‐Bo Teng is a scholar working on Cancer Research, Molecular Biology and Nutrition and Dietetics, having authored 62 papers that have together received 2.2k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (18 papers), Pancreatic function and diabetes (15 papers) and Cancer-related molecular mechanisms research (9 papers). The work is most often cited by research in Cancer Research (442 citations), Rehabilitation (104 citations) and Molecular Biology (884 citations). Chun‐Bo Teng has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Haipeng Yu, Zhanhu Guo, Hu Liu, Shouxin Liu, Houjuan Qi, Mei He, Yunchao Li, Yicheng Zhao, Qiang Gao and Miao Liu. Their work appears in journals such as Nucleic Acids Research, Nature Communications and PLoS ONE.

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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