Z Yang

1.2k citations
25 papers · 855 indexed · h-index 15

Impact in

  • Genetics top 10%
    • Diabetes and associated disorders
    • Virus-based gene therapy research
    • Immune Cell Function and Interaction

Papers in

    • Diabetes and associated disorders 8
    • Virus-based gene therapy research 3
    • Pancreatic function and diabetes 12
    • Xenotransplantation and immune response 4

Z Yang

25 papers receiving 841 citations

Peers

Z Yang
Comparison fields: 5 of 99
  • Genetics 271
  • Immunology 167
  • Cardiology and Cardiovascular Medicine 170
  • Endocrinology, Diabetes and Metabolism 111
  • Molecular Biology 388
Replace Efrén Riu with:
Efrén Riu Spain
Marta Benet Spain
Kelly D. McCall United States
Shuqin Liu China
Yong Cheng China
Yuanfang Li China
Sevda Menevşe Türkiye
Tadahito Shimada Japan
Tomofumi Fujino Japan
Z Yang relative to Efrén Riu Spain Efrén Riu's profile →
Citations per field
00.5×3.0×
Efrén Riu · 1×
Citations per year

Countries citing papers authored by Z Yang

Since Specialization
Citations

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

Fields of papers citing papers by Z Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 202180
3 20169
4 20159
5 20152
6 201326
7
[Comments and suggestions on the medical device standardization system from the view point of medical devices test].
20131
8 2010172
9 201078
10 200575
11 20048
12 20043
13 200216
14 200258
15 20003
16 200032
17 199911
18 199837
19 199721
20 199624

About Z Yang

Z Yang is a scholar working on Genetics, Surgery, Immunology, Otorhinolaryngology and Endocrinology, Diabetes and Metabolism, having authored 25 papers that have together received 855 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (12 papers), Diabetes and associated disorders (8 papers), Xenotransplantation and immune response (4 papers), Virus-based gene therapy research (3 papers), Immune Cell Function and Interaction (3 papers), Diabetes Management and Research (3 papers), RNA Interference and Gene Delivery (2 papers) and IL-33, ST2, and ILC Pathways (2 papers). The work is most often cited by research in Genetics (271 citations), Immunology (167 citations), Cardiology and Cardiovascular Medicine (170 citations), Endocrinology, Diabetes and Metabolism (111 citations) and Molecular Biology (388 citations). Z Yang has collaborated with scholars based in United States, China and Poland. Frequent co-authors include Jerry L. Nadler, Yaqin Xu, Brent A. French, Scott T. Acton, Gang Zhi, Kathleen M. Trybus, James T. Stull, H. Lee Sweeney, Ali Naji and Kellie M. Smith. Their work appears in journals such as Diabetologia, Gene Therapy, Endocrinology, Diabetes and Gut.

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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