Yong Kong

11.6k citations
131 papers · 4.8k indexed · 2 hit papers · h-index 35
Topics
Stochastic processes and statistical mechanics (12 papers)RNA and protein synthesis mechanisms (11 papers)Pneumonia and Respiratory Infections (11 papers)

In The Last Decade

Yong Kong

125 papers receiving 4.8k citations

Hit Papers

Btrim: A fast, lightweight adapter and quality trimming p...201120262016202120112017100200300400

Peers

Yong Kong
Comparison fields: 5 of 175
  • Molecular Biology 2.2k
  • Immunology 876
  • Epidemiology 714
  • Genetics 504
  • Infectious Diseases 395
Replace Édith Puchelle with:
Édith Puchelle France
Patrick G. Gallagher United States
Mehmet Kesımer United States
Jennifer Wang United States
Pierre Bongrand France
Paul C. Blainey United States
C. William Davis United States
Ionita Ghiran United States
Martin Wj United States
Hiroshi Miyamoto Japan
Yong Kong relative to Édith Puchelle France Édith Puchelle's profile →
Citations per field
00.5×6.1×
Édith Puchelle · 1×
Citations per year

Countries citing papers authored by Yong Kong

Since Specialization
Citations

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

Fields of papers citing papers by Yong Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yong Kong

This figure shows the co-authorship network connecting the top 25 collaborators of Yong Kong. A scholar is included among the top collaborators of Yong Kong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yong Kong. Yong Kong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 2
4 4
5 0
6 13
7 4
8 25
9 37
10 85
11 14
12 96
13
Macrophage function in tissue repair and remodeling requires IL-4 or IL-13 with apoptotic cellsbreakdown →
401
14 42
15 34
16 61
17 5
18 10
19 5
20 85

About Yong Kong

Yong Kong is a scholar working on Mathematical Physics, Microbiology and Molecular Biology, having authored 131 papers that have together received 4.8k indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (12 papers), RNA and protein synthesis mechanisms (11 papers) and Pneumonia and Respiratory Infections (11 papers). The work is most often cited by research in Immunology (876 citations), Microbiology (208 citations) and Molecular Biology (2.2k citations). Yong Kong has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Melinda M. Pettigrew, Akiko Iwasaki, Janneane F. Gent, Charles W. Manke, A. G. Schlijper, William G. Madden, Alison Laufer Halpin, Kristopher Fennie, Joshua P. Metlay and Scott D. Weatherbee. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids 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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