Zhenyi Hu

1.3k citations
17 papers · 879 · h-index 13

Impact in

    • Advanced Drug Delivery Systems
    • Drug Solubulity and Delivery Systems
  • Immunology top 10%
    • Immune Response and Inflammation
    • Immune Cell Function and Interaction

Papers in

    • Ubiquitin and proteasome pathways 4
    • Protein Degradation and Inhibitors 4
    • Protein Kinase Regulation and GTPase Signaling 2
    • Immune Response and Inflammation 5
    • interferon and immune responses 2

Zhenyi Hu

17 papers receiving 859 citations

Peers

Zhenyi Hu
Comparison fields: 5 of 83
  • Pharmaceutical Science 81
  • Immunology 220
  • Virology 45
  • Oncology 185
  • Molecular Biology 477
Replace Andrew R. Griswold with:
Andrew R. Griswold United States
Tim J. Wigle United States
Banmeet S. Anand United States
Louis Plamondon United States
J. H. Beijnen Netherlands
Yi Ming Shao Singapore
Bing Lu China
Stephen Brand United Kingdom
Irene van den Broek Netherlands
Zhanru Yu United Kingdom
Zhenyi Hu relative to Andrew R. Griswold United States Andrew R. Griswold's profile →
Citations per field
00.5×1.5×2.1×
Andrew R. Griswold · 1×
Citations per year

Countries citing papers authored by Zhenyi Hu

Since Specialization
Citations

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

Fields of papers citing papers by Zhenyi Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Zhenyi Hu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Zhenyi Hu Line = papers co-authored together Zhenyi Hu links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2021158
2 2021129
3 2011100
4 201799
5 202184
6 202067
7 202359
8 201952
9 201845
10 202421
11 202314
12 202512
13 202012
14 201712
15 20216
16 20135
17 20234

About Zhenyi Hu

Zhenyi Hu is a scholar working on Molecular Biology, Immunology, Epidemiology, Public Health, Environmental and Occupational Health and Spectroscopy, having authored 17 papers that have together received 879 indexed citations. Recurring topics across this work include Immune Response and Inflammation (5 papers), Ubiquitin and proteasome pathways (4 papers), Protein Degradation and Inhibitors (4 papers), Neonatal and Maternal Infections (3 papers), Advanced Proteomics Techniques and Applications (2 papers), Antimicrobial Peptides and Activities (2 papers), interferon and immune responses (2 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). The work is most often cited by research in Pharmaceutical Science (81 citations), Immunology (220 citations), Virology (45 citations), Oncology (185 citations) and Molecular Biology (477 citations). Zhenyi Hu has collaborated with scholars based in China, United States and Norway. Frequent co-authors include Craig M. Crews, Hang Yin, Saul Jaime‐Figueroa, Xiaole Qi, Lishuang Wang, Jie Zhang, Jiabi Zhu, Po‐Han Chen, Scott A. Holley and Kusal T. G. Samarasinghe. Their work appears in journals such as Nature Communications, Cell chemical biology, Organic Chemistry Frontiers, Cell and ChemBioChem.

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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