Ping Shen

247 papers receiving 5.7k citations

Peers

Ping Shen
Comparison fields: 5 of 169
  • Molecular Medicine 2.1k
  • Applied Microbiology and Biotechnology 316
  • Endocrinology 741
  • Clinical Biochemistry 325
  • Infectious Diseases 687
Replace Pierre Cornélis with:
Pierre Cornélis Belgium
Michael A. Kohanski United States
Paolo Visca Italy
Jessica M. A. Blair United Kingdom
Daniel J. Dwyer United States
Kai Zhou China
Ian Chopra United Kingdom
Márió Gajdács Hungary
Mark A. T. Blaskovich Australia
Frank Schweizer Canada
Ping Shen relative to Pierre Cornélis Belgium Pierre Cornélis's profile →
Citations per field
00.5×3.1×
Pierre Cornélis · 1×
Citations per year

Countries citing papers authored by Ping Shen

Since Specialization
Citations

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

Fields of papers citing papers by Ping Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 256 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010294
2 2006179
3 2020168
4 2009158
5 2014156
6 2006131
7 2011129
8 2007127
9 2010107
10 200399
11 201889
12 201584
13 201783
14 200775
15 201075
16 201469
17 201369
18 200664
19 202463
20 200961

About Ping Shen

Ping Shen is a scholar working on Molecular Biology, Molecular Medicine, Infectious Diseases, Ecology and Endocrinology, having authored 256 papers that have together received 5.8k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (65 papers), thermodynamics and calorimetric analyses (24 papers), Bacterial Genetics and Biotechnology (23 papers), Bacterial biofilms and quorum sensing (23 papers), Bacteriophages and microbial interactions (21 papers), Clostridium difficile and Clostridium perfringens research (16 papers), Antimicrobial Resistance in Staphylococcus (16 papers) and Bacterial Identification and Susceptibility Testing (14 papers). The work is most often cited by research in Molecular Medicine (2.1k citations), Applied Microbiology and Biotechnology (316 citations), Endocrinology (741 citations), Clinical Biochemistry (325 citations) and Infectious Diseases (687 citations). Ping Shen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zeqing Wei, Lanjuan Li, Yunsong Yu, Yonghong Xiao, Xiaoxing Du, Yunbo Chen, Beiwen Zheng, Shujuan Ji, Yan Jiang and Xiangdong Chen. Their work appears in journals such as International Journal of Antimicrobial Agents, Biological Trace Element Research, Infection and Drug Resistance, Frontiers in Cellular and Infection Microbiology and Journal of Thermal Analysis and Calorimetry.

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.

Explore authors with similar magnitude of impact