Dingyu Hu

769 citations
33 papers · 619 · 1 hit paper · h-index 12

Impact in

Papers in

Dingyu Hu

32 papers receiving 609 citations

Dingyu Hu's Hit Papers

Insights into N6-methyladenosine and programmed cell death in cancer 2022 · 190 citations
1900+1+2Years since publication50100150

Peers

Dingyu Hu
Comparison fields: 5 of 104
  • Process Chemistry and Technology 22
  • Cancer Research 83
  • Organic Chemistry 172
  • Pharmacology 92
  • Computational Theory and Mathematics 90
Replace Kentaro Sato with:
Kentaro Sato Japan
Yemisi Solanke United Kingdom
Elizabeth H. Fry United States
Jinggong Liu China
Noel A. Powell United States
Zhengrong Shen China
Johan Wannberg Sweden
Liuqing Wei United States
Feiyan Chen China
Dingding Gao China
Dingyu Hu relative to Kentaro Sato Japan Kentaro Sato's profile →
Citations per field
00.5×3.6×
Kentaro Sato · 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 33 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 →
2022190
2 200985
3 200879
4 200741
5 202135
6 201324
7 202024
8 201120
9 201019
10 200916
11 201111
12 199711
13 200610
14 20218
15 20128
16 20178
17 20244
18 20224
19 20214
20 20133

About Dingyu Hu

Dingyu Hu is a scholar working on Molecular Biology, Cancer Research, Organic Chemistry, Genetics and Pharmacology, having authored 33 papers that have together received 619 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (3 papers), Color perception and design (2 papers), High Altitude and Hypoxia (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), Neuroscience of respiration and sleep (2 papers), Color Science and Applications (2 papers), Alzheimer's disease research and treatments (2 papers) and Cholinesterase and Neurodegenerative Diseases (2 papers). The work is most often cited by research in Process Chemistry and Technology (22 citations), Cancer Research (83 citations), Organic Chemistry (172 citations), Pharmacology (92 citations) and Computational Theory and Mathematics (90 citations). Dingyu Hu has collaborated with scholars based in China, Japan and Iran. Frequent co-authors include Ji Zhang, Jing Liu, Jing Zhong, Wenjun Shao, Li Liu, Hui Li, Yanyan Wang, Jingkang Shen, Jackie Y. Ying and Yugen Zhang. Their work appears in journals such as Bioorganic & Medicinal Chemistry, Acta Pharmacologica Sinica, Cancer Cell International, JOM and Food Analytical Methods.

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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