Guohui Ding
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
Papers in ⓘ
-
- Genomics and Phylogenetic Studies 11
- Bioinformatics and Genomic Networks 9
- Genomics and Chromatin Dynamics 9
- RNA modifications and cancer 6
- Machine Learning in Bioinformatics 6
- Epigenetics and DNA Methylation 6
- RNA and protein synthesis mechanisms 6
- Co-authors
- Yixue Li (40 shared papers)Xiaosong Gu (7 shared papers)Bin Yu (6 shared papers)Songlin Zhou (6 shared papers)Yongjun Wang (5 shared papers)Fei Ding (5 shared papers)Tianmei Qian (5 shared papers)Lu Xie (7 shared papers)
- Journals
- PLoS ONE (9 papers)BMC Genomics (6 papers)BMC Bioinformatics (5 papers)BioMed Research International (4 papers)Scientific Reports (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Guohui Ding
84 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 143
- Cancer Research 428
- Developmental Neuroscience 95
- Molecular Biology 1.2k
- Cellular and Molecular Neuroscience 279
- Rehabilitation 49
Countries citing papers authored by Guohui Ding
This map shows the geographic impact of Guohui Ding'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 Guohui Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guohui Ding more than expected).
Fields of papers citing papers by Guohui Ding
This network shows the impact of papers produced by Guohui Ding. 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 Guohui Ding. The network helps show where Guohui Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Guohui Ding, 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 89 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 110 | |
| 2 | 2012 | 109 | |
| 3 | 2013 | 101 | |
| 4 | 2012 | 98 | |
| 5 | 2021 | 94 | |
| 6 | 2018 | 93 | |
| 7 | 2013 | 93 | |
| 8 | 2011 | 80 | |
| 9 | 2011 | 73 | |
| 10 | 2014 | 66 | |
| 11 | 2015 | 62 | |
| 12 | 2013 | 61 | |
| 13 | 2011 | 61 | |
| 14 | 1993 | 55 | |
| 15 | 2007 | 54 | |
| 16 | 2012 | 52 | |
| 17 | 2013 | 41 | |
| 18 | 2016 | 38 | |
| 19 | 2019 | 35 | |
| 20 | 2019 | 32 |
About Guohui Ding
Guohui Ding is a scholar working on Molecular Biology, Cancer Research, Artificial Intelligence, Genetics and Plant Science, having authored 89 papers that have together received 2.0k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (11 papers), Bioinformatics and Genomic Networks (9 papers), Genomics and Chromatin Dynamics (9 papers), Nerve injury and regeneration (6 papers), RNA modifications and cancer (6 papers), Machine Learning in Bioinformatics (6 papers), Epigenetics and DNA Methylation (6 papers) and RNA and protein synthesis mechanisms (6 papers). The work is most often cited by research in Cancer Research (428 citations), Developmental Neuroscience (95 citations), Molecular Biology (1.2k citations), Cellular and Molecular Neuroscience (279 citations) and Rehabilitation (49 citations). Guohui Ding has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Yixue Li, Xiaosong Gu, Bin Yu, Songlin Zhou, Yongjun Wang, Fei Ding, Tianmei Qian, Lu Xie, Hong Li and Xiao‐Ya Chen. Their work appears in journals such as PLoS ONE, BMC Genomics, BMC Bioinformatics, BioMed Research International and Scientific Reports.
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.