Pengcheng Du

4.3k citations
153 papers · 2.8k · h-index 31

Impact in

Papers in

Pengcheng Du

150 papers receiving 2.8k citations

Peers

Pengcheng Du
Comparison fields: 5 of 158
  • Molecular Medicine 612
  • Endocrinology 539
  • Microbiology 61
  • Infectious Diseases 722
  • Microbiology 173
Replace Michael DiCuccio with:
Michael DiCuccio United States
Burkhard Springer Austria
Chirag Jain India
Sylvain Godreuil France
Andreas Roggenkamp Germany
Fangyou Yu China
Tsuyoshi Sekizuka Japan
Audrey N. Schuetz United States
Vanessa Wong United Kingdom
Reza Mirnejad Iran
Pengcheng Du relative to Michael DiCuccio United States Michael DiCuccio's profile →
Citations per field
00.5×1.5×
Michael DiCuccio · 1×
Citations per year

Countries citing papers authored by Pengcheng Du

Since Specialization
Citations

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

Fields of papers citing papers by Pengcheng Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 153 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019123
2 2020119
3 201391
4 202090
5 201374
6 201964
7 201362
8 202055
9 201752
10 201851
11 202151
12 201450
13 202249
14 201649
15 201248
16 201747
17 201544
18 201442
19 201642
20 202039

About Pengcheng Du

Pengcheng Du is a scholar working on Molecular Medicine, Endocrinology, Infectious Diseases, Molecular Biology and Epidemiology, having authored 153 papers that have together received 2.8k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (34 papers), Salmonella and Campylobacter epidemiology (17 papers), Vibrio bacteria research studies (16 papers), Antimicrobial Resistance in Staphylococcus (12 papers), Bacteriophages and microbial interactions (11 papers), Streptococcal Infections and Treatments (10 papers), Escherichia coli research studies (10 papers) and Bacterial biofilms and quorum sensing (9 papers). The work is most often cited by research in Molecular Medicine (612 citations), Endocrinology (539 citations), Microbiology (61 citations), Infectious Diseases (722 citations) and Microbiology (173 citations). Pengcheng Du has collaborated with scholars based in China, United States and Ireland. Frequent co-authors include Li Bai, Biao Kan, Honghu Sun, Yuping Wan, Han Zheng, Jianguo Xu, Chao Liu, Marcelo Gottschalk, Yu Chen and Séamus Fanning. Their work appears in journals such as PLoS ONE, Journal of Clinical Microbiology, BMC Microbiology, Emerging Microbes & Infections 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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