Guohui Ding
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Developmental Neuroscience top 5%
Papers in
-
- Genomics and Phylogenetic Studies 6
- Genomics and Chromatin Dynamics 6
- Bioinformatics and Genomic Networks 6
- Epigenetics and DNA Methylation 5
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- Semantic Web and Ontologies 7
- 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)Bioinformatics (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Guohui Ding
90 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 147
- Cancer Research 366
- Developmental Neuroscience 92
- Molecular Biology 1.1k
- Cellular and Molecular Neuroscience 283
- Rehabilitation 45
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 99 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 115 | |
| 2 | 2009 | 113 | |
| 3 | 2012 | 110 | |
| 4 | 2013 | 109 | |
| 5 | 2012 | 101 | |
| 6 | 2021 | 101 | |
| 7 | 2018 | 97 | |
| 8 | 2011 | 83 | |
| 9 | 2011 | 82 | |
| 10 | 2014 | 67 | |
| 11 | 2015 | 66 | |
| 12 | 2011 | 64 | |
| 13 | 2013 | 63 | |
| 14 | 1993 | 58 | |
| 15 | 2007 | 56 | |
| 16 | 2012 | 53 | |
| 17 | 2013 | 44 | |
| 18 | 2016 | 40 | |
| 19 | 2019 | 36 | |
| 20 | 2019 | 32 |
About Guohui Ding
Guohui Ding is a scholar working on Molecular Biology, Artificial Intelligence, Cancer Research, Computer Networks and Communications and Cellular and Molecular Neuroscience, having authored 99 papers that have together received 2.1k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (7 papers), Nerve injury and regeneration (6 papers), Advanced Database Systems and Queries (6 papers), Genomics and Phylogenetic Studies (6 papers), Genomics and Chromatin Dynamics (6 papers), Bioinformatics and Genomic Networks (6 papers), Epigenetics and DNA Methylation (5 papers) and Cancer Genomics and Diagnostics (5 papers). The work is most often cited by research in Cancer Research (366 citations), Developmental Neuroscience (92 citations), Molecular Biology (1.1k citations), Cellular and Molecular Neuroscience (283 citations) and Rehabilitation (45 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 Renyi Liu. Their work appears in journals such as PLoS ONE, BMC Genomics, BMC Bioinformatics, BioMed Research International and Bioinformatics.
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.