Cong Pian
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
-
- Machine Learning in Bioinformatics
- Epigenetics and DNA Methylation
- Genomics and Phylogenetic Studies
- Bioinformatics and Genomic Networks
- RNA modifications and cancer
- Genomics and Chromatin Dynamics
Papers in
-
- Cancer-related molecular mechanisms research 6
- MicroRNA in disease regulation 4
-
- Machine Learning in Bioinformatics 10
- Bioinformatics and Genomic Networks 7
- Genomics and Phylogenetic Studies 4
- Epigenetics and DNA Methylation 3
- Co-authors
- Yuanyuan Chen (18 shared papers)Liangyun Zhang (15 shared papers)Xiaodan Fan (6 shared papers)Fei Li (5 shared papers)Mingmin Xu (6 shared papers)Zhi Chen (2 shared papers)Jin Zhang (2 shared papers)Hangjin Jiang (2 shared papers)
In The Last Decade
Cong Pian
31 papers receiving 497 citations
Peers
Comparison fields: 5 of 63
- Cancer Research 170
- Molecular Biology 290
- Microbiology 16
- Toxicology 5
- Computational Theory and Mathematics 14
Countries citing papers authored by Cong Pian
This map shows the geographic impact of Cong Pian'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 Cong Pian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cong Pian more than expected).
Fields of papers citing papers by Cong Pian
This network shows the impact of papers produced by Cong Pian. 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 Cong Pian. The network helps show where Cong Pian may publish in the future.
Co-authors
The 25 scholars most cited alongside Cong Pian, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 62 | |
| 2 | 2018 | 56 | |
| 3 | 2021 | 47 | |
| 4 | 2016 | 43 | |
| 5 | 2022 | 38 | |
| 6 | 2022 | 33 | |
| 7 | 2018 | 30 | |
| 8 | 2018 | 19 | |
| 9 | 2020 | 18 | |
| 10 | 2022 | 16 | |
| 11 | 2021 | 15 | |
| 12 | 2022 | 15 | |
| 13 | 2020 | 11 | |
| 14 | 2025 | 11 | |
| 15 | 2025 | 10 | |
| 16 | 2017 | 9 | |
| 17 | 2021 | 9 | |
| 18 | 2021 | 9 | |
| 19 | 2021 | 8 | |
| 20 | 2022 | 7 |
About Cong Pian
Cong Pian is a scholar working on Cancer Research, Molecular Biology, Microbiology, Computational Theory and Mathematics and Biophysics, having authored 33 papers that have together received 504 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (10 papers), Bioinformatics and Genomic Networks (7 papers), Cancer-related molecular mechanisms research (6 papers), MicroRNA in disease regulation (4 papers), Genomics and Phylogenetic Studies (4 papers), Epigenetics and DNA Methylation (3 papers), Computational Drug Discovery Methods (3 papers) and Antimicrobial Peptides and Activities (2 papers). The work is most often cited by research in Cancer Research (170 citations), Molecular Biology (290 citations), Microbiology (16 citations), Toxicology (5 citations) and Computational Theory and Mathematics (14 citations). Cong Pian has collaborated with scholars based in China and Hong Kong. Frequent co-authors include Yuanyuan Chen, Liangyun Zhang, Xiaodan Fan, Fei Li, Mingmin Xu, Zhi Chen, Jin Zhang, Hangjin Jiang, Zhihui Xu and Xiangyu Ma. Their work appears in journals such as Briefings in Bioinformatics, Bioinformatics, BMC Bioinformatics, Genes and Database.
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.