Keding Cheng

2.0k citations
37 papers · 1.5k indexed · h-index 17

Impact in

Papers in

Keding Cheng

36 papers receiving 1.4k citations

Peers

Keding Cheng
Comparison fields: 5 of 105
  • Virology 84
  • Clinical Biochemistry 93
  • Infectious Diseases 233
  • Molecular Biology 844
  • Immunology 161
Replace Ying‐Ray Lee with:
Ying‐Ray Lee Taiwan
Peter R. Wielinga Netherlands
Kazutaka Oda Japan
T Teramoto Japan
Kamran Kadkhoda Canada
Scott M. Laster United States
Marc Aumercier France
David C. Eustice United States
Jessica K. Holien Australia
Jean‐Michel Bruneau France
Keding Cheng relative to Ying‐Ray Lee Taiwan Ying‐Ray Lee's profile →
Citations per field
00.5×3.7×
Ying‐Ray Lee · 1×
Citations per year

Countries citing papers authored by Keding Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Keding Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000376
2 2000270
3 2003138
4 2004128
5 201680
6 200868
7 201337
8 198736
9 201531
10 201728
11 201828
12 200325
13 199923
14 200221
15 200518
16 201417
17 201617
18 201414
19 200414
20 200614

About Keding Cheng

Keding Cheng is a scholar working on Molecular Biology, Infectious Diseases, Ecology, Epidemiology and Clinical Biochemistry, having authored 37 papers that have together received 1.5k indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (6 papers), Bacterial Identification and Susceptibility Testing (6 papers), Cell Adhesion Molecules Research (4 papers), Antibiotic Resistance in Bacteria (4 papers), Cell death mechanisms and regulation (4 papers), Prion Diseases and Protein Misfolding (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Viral Infections and Outbreaks Research (4 papers). The work is most often cited by research in Virology (84 citations), Clinical Biochemistry (93 citations), Infectious Diseases (233 citations), Molecular Biology (844 citations) and Immunology (161 citations). Keding Cheng has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Surender Kharbanda, Satya Saxena, Pramod S. Pandey, Donald Küfe, John A. Wilkins, Pradip K. Majumder, Xiangao Sun, Rakesh Datta, Gehua Wang and Carlo M. Nalin. Their work appears in journals such as Journal of Clinical Microbiology, Journal of Biological Chemistry, PLoS ONE, Journal of Proteome Research and PROTEOMICS - CLINICAL APPLICATIONS.

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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