Chen Zhu

10.4k citations
108 papers · 4.2k indexed · 2 hit papers · h-index 29
Topics
COVID-19 Clinical Research Studies (13 papers)Antimicrobial Peptides and Activities (11 papers)Immune Response and Inflammation (10 papers)

In The Last Decade

Chen Zhu

99 papers receiving 4.1k citations

Hit Papers

Design of Wide-Spectrum Inhibitors Targeting Coronavirus ...200520262012201920052020100200300400500

Peers

Chen Zhu
Comparison fields: 5 of 155
  • Molecular Biology 1.7k
  • Infectious Diseases 1.0k
  • Hematology 626
  • Immunology 479
  • Epidemiology 432
Replace Jan Kristian Damås with:
Jan Kristian Damås Norway
Jerry Polesel Italy
Angelo Andriulli Italy
Stephan R. Vavricka Switzerland
Joo Sung Kim South Korea
Koji Kawakami Japan
Hung‐Rong Yen Taiwan
Lei Wan Taiwan
Jochen Hampe Germany
Antonio Di Sabatino Italy
Chen Zhu relative to Jan Kristian Damås Norway Jan Kristian Damås's profile →
Citations per field
00.5×1.5×2.2×
Jan Kristian Damås · 1×
Citations per year

Countries citing papers authored by Chen Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Chen Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chen Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Chen Zhu. A scholar is included among the top collaborators of Chen 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 Chen Zhu. Chen 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 1
2 0
3 2
4 11
5 1
6 16
7 3
8 8
9 42
10 95
11 12
12 21
13 74
14
Prediction for Progression Risk in Patients With COVID-19 Pneumonia: The CALL Scorebreakdown →
391
15 83
16 66
17 31
18
[Health care reform and development in China and healthy China strategy].
0
19 15
20 72

About Chen Zhu

Chen Zhu is a scholar working on Microbiology, Immunology and Hematology, having authored 108 papers that have together received 4.2k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (13 papers), Antimicrobial Peptides and Activities (11 papers) and Immune Response and Inflammation (10 papers). The work is most often cited by research in Hematology (626 citations), Infectious Diseases (1.0k citations) and Geriatrics and Gerontology (136 citations). Chen Zhu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Hugues de Thé, Sai‐Juan Chen, Enqiang Qin, Peng Zhao, Dong Ji, Gregory Cheng, George Lau, Yu Wang, Jing Xu and Haitao Yang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature reviews. Cancer.

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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