Dingqiang Chen

3.0k citations
88 papers · 2.3k · h-index 24

Impact in

Papers in

Dingqiang Chen

84 papers receiving 2.3k citations

Peers

Dingqiang Chen
Comparison fields: 5 of 127
  • Molecular Medicine 593
  • Endocrinology 398
  • Applied Microbiology and Biotechnology 65
  • Clinical Biochemistry 213
  • Infectious Diseases 479
Replace Olivier Gaillot with:
Olivier Gaillot France
Ivana Ćirković Serbia
Veronica N. Kos United States
Mohammad Ahangarzadeh Rezaee Iran
Shahin Najar Peerayeh Iran
Daniel G. Amoako South Africa
Slobodanka Djukić Serbia
Mark de Been Netherlands
Ivo Steinmetz Germany
Stephen M. Kwong Australia
Dingqiang Chen relative to Olivier Gaillot France Olivier Gaillot's profile →
Citations per field
00.5×8.7×
Olivier Gaillot · 1×
Citations per year

Countries citing papers authored by Dingqiang Chen

Since Specialization
Citations

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

Fields of papers citing papers by Dingqiang Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015301
2 2016236
3 2016230
4 2016121
5 2021104
6 201796
7 201467
8 201766
9 201657
10 201654
11 202053
12 201751
13 201851
14 202149
15 201745
16 201044
17 201742
18 201438
19 200934
20 200529

About Dingqiang Chen

Dingqiang Chen is a scholar working on Molecular Medicine, Molecular Biology, Infectious Diseases, Endocrinology and Epidemiology, having authored 88 papers that have together received 2.3k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (33 papers), Bacterial biofilms and quorum sensing (20 papers), Antimicrobial Resistance in Staphylococcus (14 papers), Bacterial Identification and Susceptibility Testing (11 papers), Bacteriophages and microbial interactions (10 papers), Vibrio bacteria research studies (8 papers), Genomics and Phylogenetic Studies (7 papers) and Biosensors and Analytical Detection (6 papers). The work is most often cited by research in Molecular Medicine (593 citations), Endocrinology (398 citations), Applied Microbiology and Biotechnology (65 citations), Clinical Biochemistry (213 citations) and Infectious Diseases (479 citations). Dingqiang Chen has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Zhenbo Xu, Bing Li, Lin Li, Junyan Liu, Brian M. Peters, Yang Deng, Ling Yang, Jian Miao, Mark E. Shirtliff and Guangchao Yu. Their work appears in journals such as Microbial Pathogenesis, Microbial Drug Resistance, Antibiotics, Current Microbiology and Frontiers in Microbiology.

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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