Ming Zhong

4.1k citations
89 papers · 2.4k indexed · 1 hit paper · h-index 22
Topics
Respiratory Support and Mechanisms (14 papers)Sepsis Diagnosis and Treatment (12 papers)COVID-19 Clinical Research Studies (6 papers)

In The Last Decade

Ming Zhong

82 papers receiving 2.4k citations

Hit Papers

mtDNA Activates cGAS Signaling and Suppresses the YAP-Med...20202026202220242020100200300

Peers

Ming Zhong
Comparison fields: 5 of 167
  • Molecular Biology 1.0k
  • Pulmonary and Respiratory Medicine 512
  • Immunology 471
  • Physiology 361
  • Infectious Diseases 231
Replace Ke‐Xuan Liu with:
Ke‐Xuan Liu China
Shusheng Li China
Gabriele Cevenini Italy
Yen‐Hung Lin Taiwan
Haim Bitterman Israel
Lin Xu China
Richard J. Lin United States
Kazuyoshi Imaizumi Japan
Chris Cheadle United States
Xue Qin China
Ming Zhong relative to Ke‐Xuan Liu China Ke‐Xuan Liu's profile →
Citations per field
00.5×1.5×1.8×
Ke‐Xuan Liu · 1×
Citations per year

Countries citing papers authored by Ming Zhong

Since Specialization
Citations

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

Fields of papers citing papers by Ming Zhong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Zhong

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Zhong. A scholar is included among the top collaborators of Ming Zhong 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 Ming Zhong. Ming Zhong 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 1
4 2
5 4
6 2
7 13
8 5
9 2
10 4
11 13
12 15
13 12
14 10
15 0
16 54
17 50
18 6
19 6
20 6

About Ming Zhong

Ming Zhong is a scholar working on Critical Care and Intensive Care Medicine, Pulmonary and Respiratory Medicine and Internal Medicine, having authored 89 papers that have together received 2.4k indexed citations. Recurring topics across this work include Respiratory Support and Mechanisms (14 papers), Sepsis Diagnosis and Treatment (12 papers) and COVID-19 Clinical Research Studies (6 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (128 citations), Immunology (471 citations) and Nephrology (133 citations). Ming Zhong has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Asrar B. Malik, Jalees Rehman, Zhigang Hong, Shiqin Xiong, Anke Di, Xiaopei Gao, Vivek Dey, Long Shuang Huang, Wei Wu and Yulia Komarova. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.

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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