Dingyu Zhang

48.2k citations
43 papers · 20.4k indexed · 3 hit papers · h-index 13

Impact in

Papers in

Dingyu Zhang

40 papers receiving 19.8k citations

Hit Papers

Fast and sensitive detection of SARS-CoV-2 RNA using suboptimal protospacer adjacent motifs for Cas12a 2022 · 272 citations
27220202026202220245.0k10.0k15.0k

Peers

Dingyu Zhang
Comparison fields: 5 of 208
  • Infectious Diseases 12.4k
  • Modeling and Simulation 2.0k
  • Neurology 3.7k
  • General Dentistry 416
  • Obstetrics and Gynecology 975
Replace Wenbo Xu with:
Wenbo Xu China
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Jingdong Song China
Xuejun Ma China
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Dingyu Zhang relative to Wenbo Xu China Wenbo Xu's profile →
Citations per field
00.5×1.5×
Wenbo Xu · 1×
Citations per year

Countries citing papers authored by Dingyu Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Dingyu Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20244
4 20240
5 20236
6 20231
7 202338
8 20225
9
Fast and sensitive detection of SARS-CoV-2 RNA using suboptimal protospacer adjacent motifs for Cas12a
Hit paper breakdown →
2022272
10 202113
11 20216
12 20215
13 20219
14 20205
15
A Novel Coronavirus from Patients with Pneumonia in China, 2019
Hit paper breakdown →
202018577
16 20175
17 2017107
18 20174
19 201433
20 201419

About Dingyu Zhang

Dingyu Zhang is a scholar working on Infectious Diseases, Filtration and Separation, Neurology, Biological Psychiatry and Microbiology, having authored 43 papers that have together received 20.4k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (13 papers), SARS-CoV-2 and COVID-19 Research (11 papers), Long-Term Effects of COVID-19 (7 papers), MicroRNA in disease regulation (3 papers), Cancer-related molecular mechanisms research (3 papers), RNA Interference and Gene Delivery (2 papers), Atmospheric and Environmental Gas Dynamics (2 papers) and Energy, Environment, and Transportation Policies (2 papers). The work is most often cited by research in Infectious Diseases (12.4k citations), Modeling and Simulation (2.0k citations), Neurology (3.7k citations), General Dentistry (416 citations) and Obstetrics and Gynecology (975 citations). Dingyu Zhang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Guizhen Wu, Wen‐Ching Wang, Jingdong Song, Peihua Niu, Wenjie Tan, Xuejun Ma, Faxian Zhan, Baoying Huang, Xingwang Li and Wenbo Xu. Their work appears in journals such as Frontiers in Immunology, Frontiers in Microbiology, Scientific Reports, BMB Reports and Socius Sociological Research for a Dynamic World.

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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