Decong Kong

538 citations
32 papers · 300 · h-index 12

Impact in

Papers in

Decong Kong

29 papers receiving 296 citations

Peers

Decong Kong
Comparison fields: 5 of 83
  • Endocrinology 27
  • Microbiology 28
  • Clinical Biochemistry 20
  • Molecular Medicine 13
  • Neurology 18
Replace Denise C. Zysset‐Burri with:
Denise C. Zysset‐Burri Switzerland
Truc Thanh Luong South Korea
Stacie Clark United States
Ritika Sharma India
Jeffrey Eckert United States
Francesco Monaco Italy
Julien Pujo France
Nadia Al-Banna Canada
Claudia J. Stocks Australia
Gabriel Haddad France
Decong Kong relative to Denise C. Zysset‐Burri Switzerland Denise C. Zysset‐Burri's profile →
Citations per field
00.5×1.7×
Denise C. Zysset‐Burri · 1×
Citations per year

Countries citing papers authored by Decong Kong

Since Specialization
Citations

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

Fields of papers citing papers by Decong Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202233
2 201725
3 202022
4 202219
5 202018
6 202317
7 201817
8 202016
9 202314
10 201913
11 202112
12 202112
13 202110
14 20229
15 20228
16 20207
17 20227
18 20227
19 20217
20 20236

About Decong Kong

Decong Kong is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Infectious Diseases, Epidemiology and Clinical Biochemistry, having authored 32 papers that have together received 300 indexed citations. Recurring topics across this work include Streptococcal Infections and Treatments (10 papers), Inflammasome and immune disorders (4 papers), Antimicrobial Resistance in Staphylococcus (4 papers), Genomics and Phylogenetic Studies (4 papers), Neonatal and Maternal Infections (3 papers), Bacterial Identification and Susceptibility Testing (3 papers), Bacterial Genetics and Biotechnology (3 papers) and S100 Proteins and Annexins (2 papers). The work is most often cited by research in Endocrinology (27 citations), Microbiology (28 citations), Clinical Biochemistry (20 citations), Molecular Medicine (13 citations) and Neurology (18 citations). Decong Kong has collaborated with scholars based in China, Belarus and Bulgaria. Frequent co-authors include Yongqiang Jiang, Qingyu Lv, Hua Jiang, Yuling Zheng, Wenhua Huang, Yuhao Ren, Peng Liu, Shengwei Zhang, Huaijie Hao and Lei Zhang. Their work appears in journals such as Virulence, Frontiers in Immunology, Frontiers in Public Health, Vaccines and Infection and Immunity.

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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