Zhiru Yang

1.7k citations
20 papers · 780 · h-index 13

Impact in

Papers in

    • Photosynthetic Processes and Mechanisms 3
    • Biochemical and Molecular Research 3
    • RNA Interference and Gene Delivery 3
    • Glycosylation and Glycoproteins Research 2
    • Enzyme Structure and Function 7

Zhiru Yang

20 papers receiving 767 citations

Peers

Zhiru Yang
Comparison fields: 5 of 86
  • Biochemistry 61
  • Physiology 36
  • Molecular Biology 516
  • Immunology 140
  • Cancer Research 64
Replace Carl C. Correll with:
Carl C. Correll United States
Stéphane Mouilleron United Kingdom
Pete Dunten United States
Sakae Kitada Japan
Nobuyuki Kobashi Japan
Vlad Cojocaru Germany
Guangyu Zhu United States
Santiago Ramón‐Maiques Spain
Margot G. Paulick United States
Vanessa Gurtu United States
Zhiru Yang relative to Carl C. Correll United States Carl C. Correll's profile →
Citations per field
00.5×
Carl C. Correll · 1×
Citations per year

Countries citing papers authored by Zhiru Yang

Since Specialization
Citations

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

Fields of papers citing papers by Zhiru Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2003152
2 200876
3 202370
4 200267
5 200067
6 201464
7 200261
8 200356
9 200356
10 200926
11 201622
12 200021
13 200012
14 200010
15 20017
16 20234
17 20243
18 20203
19 20232
20 20241

About Zhiru Yang

Zhiru Yang is a scholar working on Molecular Biology, Materials Chemistry, Biochemistry, Radiology, Nuclear Medicine and Imaging and Cell Biology, having authored 20 papers that have together received 780 indexed citations. Recurring topics across this work include Enzyme Structure and Function (7 papers), Photosynthetic Processes and Mechanisms (3 papers), Biochemical and Molecular Research (3 papers), RNA Interference and Gene Delivery (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Virus-based gene therapy research (2 papers), Glycosylation and Glycoproteins Research (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Biochemistry (61 citations), Physiology (36 citations), Molecular Biology (516 citations), Immunology (140 citations) and Cancer Research (64 citations). Zhiru Yang has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Liang Tong, Pamela J. Björkman, Yang Shen, Hailong Zhang, Charles Lanks, Daniel L. Floyd, Xiao Tao, G Loeber, Gu‐Gang Chang and Hui‐Chih Hung. Their work appears in journals such as Protein Science, Structure, Virology, IUCrJ and Nature Structural & Molecular Biology.

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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