Mian Zu

945 citations
15 papers · 801 · h-index 11

Impact in

Papers in

    • Influenza Virus Research Studies 3
    • Liver Disease Diagnosis and Treatment 2
    • Fullerene Chemistry and Applications 1

Mian Zu

14 papers receiving 788 citations

Peers

Mian Zu
Comparison fields: 5 of 81
  • Biomedical Engineering 326
  • Biomaterials 92
  • Complementary and alternative medicine 45
  • Materials Chemistry 233
  • Epidemiology 113
Replace Elham Ghasemipour Afshar with:
Elham Ghasemipour Afshar Iran
Mansour Alsharidah Saudi Arabia
Yunyan Zhang China
Rajendra Kumar India
Ziyu Jiang China
Jiajun Huang China
Ravinder Verma India
Ali H. Alamri Saudi Arabia
Marwa Sharaky Egypt
Meng‐Lei Huan China
Mian Zu relative to Elham Ghasemipour Afshar Iran Elham Ghasemipour Afshar's profile →
Citations per field
00.5×10×20×30×40×49×
Elham Ghasemipour Afshar · 1×
Citations per year

Countries citing papers authored by Mian Zu

Since Specialization
Citations

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

Fields of papers citing papers by Mian Zu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mian Zu, 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 Mian Zu Line = papers co-authored together Mian Zu links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2015385
2 2012117
3 201571
4 201444
5 201238
6 201131
7 201526
8 201824
9 201823
10
[Evaluation of Chinese traditional patent medicines against influenza virus in vitro].
201013
11 201812
12 20149
13 20214
14 20164
15 20250

About Mian Zu

Mian Zu is a scholar working on Epidemiology, Organic Chemistry, Molecular Biology, Pharmacology and Computational Theory and Mathematics, having authored 15 papers that have together received 801 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (3 papers), Liver Disease and Transplantation (2 papers), Liver physiology and pathology (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Computational Drug Discovery Methods (2 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper), Plant biochemistry and biosynthesis (1 paper) and Fullerene Chemistry and Applications (1 paper). The work is most often cited by research in Biomedical Engineering (326 citations), Biomaterials (92 citations), Complementary and alternative medicine (45 citations), Materials Chemistry (233 citations) and Epidemiology (113 citations). Mian Zu has collaborated with scholars based in China, United States and Czechia. Frequent co-authors include Guanhua Du, Liang Yan, Xiaju Cheng, Cuicui Ge, Tao Bao, Wenyan Yin, Yuan Yong, Yuliang Zhao, Dongliang Wang and Zhanjun Gu. Their work appears in journals such as Antiviral Research, Disease Markers, Journal of Chromatography B, Cellular Physiology and Biochemistry and Journal of Nanoscience and Nanotechnology.

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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