Dingyu Hu

780 citations
32 papers · 647 · 1 hit paper · h-index 11

Impact in

Papers in

Dingyu Hu

31 papers receiving 638 citations

Dingyu Hu's Hit Papers

Insights into N6-methyladenosine and programmed cell death in cancer 2022 · 199 citations
1990+1+2Years since publication50100150

Peers

Dingyu Hu
Comparison fields: 5 of 103
  • Process Chemistry and Technology 23
  • Organic Chemistry 183
  • Cancer Research 85
  • Pharmacology 99
  • Computational Theory and Mathematics 96
Replace Yemisi E. Solanke with:
Yemisi E. Solanke United Kingdom
Zhengrong Shen China
Jinggong Liu China
Kentaro Sato Japan
Liuqing Wei United States
Xiaoming Zha China
Feiyan Chen China
Joel P. Cooper United States
Dingding Gao China
Noel A. Powell United States
Dingyu Hu relative to Yemisi E. Solanke United Kingdom Yemisi E. Solanke's profile →
Citations per field
00.5×5×10×16.8×
Yemisi E. Solanke · 1×
Citations per year

Countries citing papers authored by Dingyu Hu

Since Specialization
Citations

This map shows the geographic impact of Dingyu Hu'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 Dingyu Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dingyu Hu more than expected).

Fields of papers citing papers by Dingyu Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dingyu Hu. 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 Dingyu Hu. The network helps show where Dingyu Hu may publish in the future.

Co-authors

The 25 scholars most cited alongside Dingyu Hu, 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 Dingyu Hu Line = papers co-authored together Dingyu Hu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Insights into N6-methyladenosine and programmed cell death in cancer
Hit paper breakdown →
2022199
2 200991
3 200880
4 200743
5 202135
6 201327
7 202024
8 201022
9 201120
10 200918
11 199711
12 201111
13 200611
14 20129
15 20178
16 20218
17 20244
18 20224
19 20214
20 20093

About Dingyu Hu

Dingyu Hu is a scholar working on Cancer Research, Molecular Biology, Endocrine and Autonomic Systems, Pharmacology and Genetics, having authored 32 papers that have together received 647 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (3 papers), Computational Drug Discovery Methods (2 papers), RNA modifications and cancer (2 papers), High Altitude and Hypoxia (2 papers), Color Science and Applications (2 papers), Alzheimer's disease research and treatments (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Visual perception and processing mechanisms (2 papers). The work is most often cited by research in Process Chemistry and Technology (23 citations), Organic Chemistry (183 citations), Cancer Research (85 citations), Pharmacology (99 citations) and Computational Theory and Mathematics (96 citations). Dingyu Hu has collaborated with scholars based in China, Japan and Iran. Frequent co-authors include Jing Liu, Ji Zhang, Jing Zhong, Wenjun Shao, Yanyan Wang, Li Liu, Hui Li, Shudong Yang, Jingkang Shen and Pranab Kumar Patra. Their work appears in journals such as Bioorganic & Medicinal Chemistry, Acta Pharmacologica Sinica, LEUKOS The Journal of the Illuminating Engineering Society of North America, Journal of Applied Polymer Science and Nano Today.

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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