Jun Cheng
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Epidemiology top 2%
- Autophagy in Disease and Therapy
Papers in
-
- RNA modifications and cancer 6
- RNA Research and Splicing 6
- RNA and protein synthesis mechanisms 6
- Circular RNAs in diseases 3
-
- Advanced Algorithms and Applications 4
- Advanced Sensor and Control Systems 3
- Co-authors
- Žiga Avsec (7 shared papers)Christoph Dieterich (2 shared papers)Franziska Metge (1 shared paper)Demis Hassabis (2 shared papers)Pushmeet Kohli (2 shared papers)Taylor Applebaum (2 shared papers)Rosalia G. Schneider (2 shared papers)Andrew Senior (2 shared papers)
- Journals
- Bioinformatics (3 papers)Human Mutation (2 papers)Genome biology (2 papers)Molecular Cell (1 paper)Nature (1 paper)
- Partner nations
- ChinaGermanyUnited Kingdom
In The Last Decade
Jun Cheng
26 papers receiving 4.1k citations
Jun Cheng's Hit Papers
Peers
Comparison fields: 5 of 153
- Cancer Research 548
- Epidemiology 1.2k
- Physiology 151
- Molecular Biology 2.1k
- Aging 53
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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition) 1 Hit paper breakdown → | 2021 | 2038 |
| 2 | Accurate proteome-wide missense variant effect prediction with AlphaMissense Hit paper breakdown → | 2023 | 1016 |
| 3 | 2015 | 289 | |
| 4 | 2019 | 145 | |
| 5 | 2020 | 105 | |
| 6 | 2019 | 101 | |
| 7 | 2023 | 97 | |
| 8 | 2017 | 87 | |
| 9 | 2020 | 67 | |
| 10 | 2021 | 57 | |
| 11 | 2017 | 48 | |
| 12 | 2026 | 40 | |
| 13 | 2021 | 37 | |
| 14 | 2017 | 22 | |
| 15 | 2019 | 13 | |
| 16 | 2014 | 10 | |
| 17 | 2019 | 8 | |
| 18 | 2025 | 8 | |
| 19 | 2023 | 7 | |
| 20 | 2010 | 6 |
About Jun Cheng
Jun Cheng is a scholar working on Molecular Biology, Control and Systems Engineering, Cancer Research, Infectious Diseases and Small Animals, having authored 30 papers that have together received 4.2k indexed citations. Recurring topics across this work include RNA modifications and cancer (6 papers), RNA Research and Splicing (6 papers), RNA and protein synthesis mechanisms (6 papers), Advanced Algorithms and Applications (4 papers), Circular RNAs in diseases (3 papers), Advanced Sensor and Control Systems (3 papers), Genomics and Rare Diseases (2 papers) and Biosensors and Analytical Detection (2 papers). The work is most often cited by research in Cancer Research (548 citations), Epidemiology (1.2k citations), Physiology (151 citations), Molecular Biology (2.1k citations) and Aging (53 citations). Jun Cheng has collaborated with scholars based in China, Germany and United Kingdom. Frequent co-authors include Žiga Avsec, Christoph Dieterich, Franziska Metge, Demis Hassabis, Pushmeet Kohli, Taylor Applebaum, Rosalia G. Schneider, Andrew Senior, Guido Novati and Tobias Sargeant. Their work appears in journals such as Bioinformatics, Human Mutation, Genome biology, Molecular Cell and Nature.
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.