Jun Cheng
Impact in
- Electrochemistry top 2%
- Electrochemical Analysis and Applications
- Cancer Research top 10%
- MicroRNA in disease regulation
Papers in
-
- Electrochemical sensors and biosensors 8
- Molecular Junctions and Nanostructures 7
- Co-authors
- Petr Jandík (17 shared papers)Cary J. Miller (5 shared papers)Nebojša Avdalović (9 shared papers)Samuel Terrettaz (3 shared papers)Bruce W. Wessels (7 shared papers)Zhi Q. Yao (4 shared papers)Xiao Y. Wu (4 shared papers)Jonathan P. Moorman (4 shared papers)
- Journals
- Journal of Chromatography A (5 papers)Journal of the American Chemical Society (3 papers)PLoS ONE (3 papers)Frontiers in Immunology (3 papers)Analytical Biochemistry (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Jun Cheng
83 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 125
- Electrochemistry 256
- Cancer Research 244
- Bioengineering 84
- Geriatrics and Gerontology 43
- Hepatology 90
Countries citing papers authored by Jun Cheng
This map shows the geographic impact of Jun Cheng'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 Jun Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Cheng more than expected).
Fields of papers citing papers by Jun Cheng
This network shows the impact of papers produced by Jun Cheng. 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 Jun Cheng. The network helps show where Jun Cheng may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Cheng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 122 | |
| 2 | 2011 | 111 | |
| 3 | 1996 | 94 | |
| 4 | 2011 | 89 | |
| 5 | 2012 | 87 | |
| 6 | 2014 | 84 | |
| 7 | 2001 | 79 | |
| 8 | 1993 | 72 | |
| 9 | 2012 | 70 | |
| 10 | 2001 | 59 | |
| 11 | 1996 | 56 | |
| 12 | 2002 | 52 | |
| 13 | 1995 | 47 | |
| 14 | 2021 | 43 | |
| 15 | 2008 | 42 | |
| 16 | 2016 | 41 | |
| 17 | 2020 | 39 | |
| 18 | 1978 | 39 | |
| 19 | 2005 | 38 | |
| 20 | 2002 | 37 |
About Jun Cheng
Jun Cheng is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Electrochemistry, Spectroscopy and Materials Chemistry, having authored 84 papers that have together received 2.3k indexed citations. Recurring topics across this work include Electrochemical Analysis and Applications (13 papers), Analytical Chemistry and Chromatography (8 papers), Electrochemical sensors and biosensors (8 papers), Multiferroics and related materials (7 papers), Molecular Junctions and Nanostructures (7 papers), Magnetic Properties and Synthesis of Ferrites (7 papers), Cancer-related molecular mechanisms research (6 papers) and Analytical Chemistry and Sensors (6 papers). The work is most often cited by research in Electrochemistry (256 citations), Cancer Research (244 citations), Bioengineering (84 citations), Geriatrics and Gerontology (43 citations) and Hepatology (90 citations). Jun Cheng has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Petr Jandík, Cary J. Miller, Nebojša Avdalović, Samuel Terrettaz, Bruce W. Wessels, Zhi Q. Yao, Xiao Y. Wu, Jonathan P. Moorman, R. D. Guiles and Ji Xiao. Their work appears in journals such as Journal of Chromatography A, Journal of the American Chemical Society, PLoS ONE, Frontiers in Immunology and Analytical Biochemistry.
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.