Guohui Ding

3.8k citations
89 papers · 2.0k indexed · h-index 24

Impact in

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

Guohui Ding

84 papers receiving 1.9k citations

Peers

Guohui Ding
Comparison fields: 5 of 143
  • Cancer Research 428
  • Developmental Neuroscience 95
  • Molecular Biology 1.2k
  • Cellular and Molecular Neuroscience 279
  • Rehabilitation 49
Replace Yao Yao with:
Yao Yao China
Stéphanie Boué Switzerland
Ming Wang China
Wen‐Chin Huang United States
Lu Jiang China
Wenyuan Li China
Rong Hu China
Tian Tian China
Kazuhiro Chida Japan
Jing Qin China
Guohui Ding relative to Yao Yao China Yao Yao's profile →
Citations per field
00.5×1.5×2.0×
Yao Yao · 1×
Citations per year

Countries citing papers authored by Guohui Ding

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Guohui Ding Line = papers co-authored together Guohui Ding links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009110
2 2012109
3 2013101
4 201298
5 202194
6 201893
7 201393
8 201180
9 201173
10 201466
11 201562
12 201361
13 201161
14 199355
15 200754
16 201252
17 201341
18 201638
19 201935
20 201932

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.

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