Keding Cheng

1.9k citations
43 papers · 1.7k · h-index 17

Impact in

Papers in

    • Bacterial Identification and Susceptibility Testing 8
    • Advanced Proteomics Techniques and Applications 11
    • Mass Spectrometry Techniques and Applications 4

Keding Cheng

42 papers receiving 1.6k citations

Peers

Keding Cheng
Comparison fields: 5 of 93
  • Clinical Biochemistry 105
  • Virology 61
  • Molecular Biology 718
  • Spectroscopy 152
  • Infectious Diseases 176
Replace Latha Prabha Ganesan with:
Latha Prabha Ganesan United States
Chris Carrico United States
Kazumichi Kuroda Japan
Kurt E. Amrein Switzerland
Florence Roux‐Dalvai France
Kamran Kadkhoda Canada
Laure Yatime Denmark
Samuel K. Handelman United States
Peder J. Lund United States
Heiyoung Park United States
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Citations per field
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Latha Prabha Ganesan · 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 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000385
2 2000272
3 2003152
4 2004132
5 2016102
6 201692
7 200870
8 201341
9 201537
10 201837
11 201735
12 200325
13 199923
14 200222
15 201620
16 200518
17 201418
18 200415
19 200614
20 201414

About Keding Cheng

Keding Cheng is a scholar working on Clinical Biochemistry, Spectroscopy, Endocrinology, Infectious Diseases and Immunology and Allergy, having authored 43 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (11 papers), Bacterial Identification and Susceptibility Testing (8 papers), Escherichia coli research studies (6 papers), Prion Diseases and Protein Misfolding (6 papers), Cell death mechanisms and regulation (4 papers), Viral Infections and Outbreaks Research (4 papers), Mass Spectrometry Techniques and Applications (4 papers) and Cell Adhesion Molecules Research (3 papers). The work is most often cited by research in Clinical Biochemistry (105 citations), Virology (61 citations), Molecular Biology (718 citations), Spectroscopy (152 citations) and Infectious Diseases (176 citations). Keding Cheng has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Satya P. Saxena, Surender M. Kharbanda, Donald W. Kufe, John A. Wilkins, Gehua Wang, Pradip K. Majumder, Rakesh Datta, Xiangao Sun, Jagat Narula and Yingnan Chen. Their work appears in journals such as Journal of Clinical Microbiology, Journal of Biological Chemistry, PLoS ONE, PROTEOMICS - CLINICAL APPLICATIONS and Journal of Proteome Research.

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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