Qing Kong

3.2k total citations · 1 hit paper
30 papers, 2.5k citations indexed

About

Qing Kong is a scholar working on Molecular Biology, Plant Science and Immunology. According to data from OpenAlex, Qing Kong has authored 30 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 9 papers in Plant Science and 7 papers in Immunology. Recurrent topics in Qing Kong's work include Plant-Microbe Interactions and Immunity (8 papers), Metabolomics and Mass Spectrometry Studies (4 papers) and Viral Infections and Immunology Research (4 papers). Qing Kong is often cited by papers focused on Plant-Microbe Interactions and Immunity (8 papers), Metabolomics and Mass Spectrometry Studies (4 papers) and Viral Infections and Immunology Research (4 papers). Qing Kong collaborates with scholars based in China, United States and Canada. Qing Kong's co-authors include Zhibin Zhang, Judy Lieberman, Hao Wu, Xing Liu, Shiyu Xia, Shunying Li, Karla F. Meza‐Sosa, Caroline Junqueira, Satyaki Sengupta and Temy Mo Yin Mok and has published in prestigious journals such as Nature, Nature Communications and The Plant Cell.

In The Last Decade

Qing Kong

27 papers receiving 2.4k citations

Hit Papers

Gasdermin E suppresses tumour growth by activating anti-t... 2020 2026 2022 2024 2020 400 800 1.2k

Peers

Qing Kong
Comparison fields: 5 of 95
  • Molecular Biology 1.6k
  • Plant Science 684
  • Immunology 588
  • Pulmonary and Respiratory Medicine 306
  • Oncology 257
Replace Fan Deng with:
Fan Deng China
Liping Yang China
Mei Deng China
Shoichi Suzuki Japan
Chuanlin Ding United States
Fang Su China
Shelbi Christgen United States
Daniel J. Allendorf United States
Chunfang Gu United States
Fan Deng China View profile →
Citations per field, relative to Qing Kong
Qing Kong · 1×
Citations per year, relative to Qing Kong
Qing Kong · 1×

Countries citing papers authored by Qing Kong

Since Specialization
Citations

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

Fields of papers citing papers by Qing Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qing Kong

This figure shows the co-authorship network connecting the top 25 collaborators of Qing Kong. A scholar is included among the top collaborators of Qing 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 Qing Kong. Qing 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
# Work Indexed citations
1 0
2 1
3 0
4 0
5 5
6 57
7 4
8 30
9 8
10 71
11
Gasdermin E suppresses tumour growth by activating anti-tumour immunity breakdown →
1242
12 36
13 82
14 92
15 51
16 21
17 54
18 279
19 31
20 6

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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