Ming Zhu

1.2k citations
26 papers · 922 indexed · h-index 16
Topics
IL-33, ST2, and ILC Pathways (5 papers)Cardiac electrophysiology and arrhythmias (5 papers)Air Quality and Health Impacts (4 papers)
Partner nations
United StatesChinaJapan

In The Last Decade

Ming Zhu

25 papers receiving 895 citations

Peers

Ming Zhu
Comparison fields: 5 of 82
  • Immunology 355
  • Physiology 319
  • Molecular Biology 298
  • Pulmonary and Respiratory Medicine 151
  • Cardiology and Cardiovascular Medicine 112
Replace Hideo Tsukagoshi with:
Hideo Tsukagoshi Japan
Cemil Korcan Ayata Germany
Mengyuan Kan China
Tatiana Paula Teixeira Ferreira Brazil
Yoshitaka Minami Japan
Christelle Kamga United States
Chunli Feng United States
Flavia R. Greiffo Brazil
Toshio Numao Japan
Marco Failla Italy
Ming Zhu relative to Hideo Tsukagoshi Japan Hideo Tsukagoshi's profile →
Citations per field
00.5×5.5×
Hideo Tsukagoshi · 1×
Citations per year

Countries citing papers authored by Ming Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Ming Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Zhu. A scholar is included among the top collaborators of Ming Zhu 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 Zhu. Ming Zhu 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 46
2 11
3 3
4 11
5
[Construction and expression of the Echinococcus granulosus recombinant BCG-EgG1Y162].
1
6 6
7 15
8 19
9 36
10 18
11 18
12 39
13 38
14 234
15 37
16 8
17 115
18 60
19 89
20
[Study on the relationship between genetic polymorphism Val384Asp in hMLH1 gene and the risk of four different carcinomas].
7

About Ming Zhu

Ming Zhu is a scholar working on Immunology, Health, Toxicology and Mutagenesis and Pathology and Forensic Medicine, having authored 26 papers that have together received 922 indexed citations. Recurring topics across this work include IL-33, ST2, and ILC Pathways (5 papers), Cardiac electrophysiology and arrhythmias (5 papers) and Air Quality and Health Impacts (4 papers). The work is most often cited by research in Immunology (355 citations), Physiology (319 citations) and Health, Toxicology and Mutagenesis (75 citations). Ming Zhu has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Stephanie A. Shore, Richard A. Johnston, Erin S. Williams, Ulrike Mende, Lesley Flynt, Dale T. Umetsu, Ponpan Matangkasombut, Everett Meyer, Rosemarie H. DeKruyff and Xiaomei Xu. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and PLoS ONE.

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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