Z Wang

852 citations
14 papers · 712 · h-index 9

Impact in

  • Genetics top 10%
    • Virus-based gene therapy research
    • RNA Research and Splicing
    • RNA Interference and Gene Delivery
    • RNA and protein synthesis mechanisms
    • RNA modifications and cancer
    • CRISPR and Genetic Engineering
    • Viral Infectious Diseases and Gene Expression in Insects

Papers in

    • RNA Research and Splicing 3
    • Ubiquitin and proteasome pathways 2
    • RNA Interference and Gene Delivery 2
    • RNA and protein synthesis mechanisms 1
    • Viral Infectious Diseases and Gene Expression in Insects 1
    • Prostate Cancer Treatment and Research 4

Z Wang

13 papers receiving 706 citations

Peers

Z Wang
Comparison fields: 5 of 73
  • Genetics 290
  • Molecular Biology 474
  • Genetics 33
  • Cardiology and Cardiovascular Medicine 56
  • Oncology 55
Replace Jude Samulski with:
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Jill A. Fahrner United States
Albert Ribera Spain
Bernd Auber Germany
Maria V. Shutova Russia
Grant J. Logan Australia
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Z Wang relative to Jude Samulski United States Jude Samulski's profile →
Citations per field
00.5×1.5×2.3×
Jude Samulski · 1×
Citations per year

Countries citing papers authored by Z Wang

Since Specialization
Citations

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

Fields of papers citing papers by Z Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2003350
2
Intrinsic U2AF binding is modulated by exon enhancer signals in parallel with changes in splicing activity.
1995123
3 201055
4 201751
5 200537
6
Cell- and stage-specific splicing events resolved in specialized neurons of the rat cerebellum.
199627
7 201324
8 201619
9 200415
10 20055
11
Manipulation of androgens and alterations in the androgen receptor axis in prostate cancer.
20084
12 20261
13 20081
14 20260

About Z Wang

Z Wang is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Genetics, Immunology and Surgery, having authored 14 papers that have together received 712 indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (4 papers), RNA Research and Splicing (3 papers), Ubiquitin and proteasome pathways (2 papers), Immunotherapy and Immune Responses (2 papers), RNA Interference and Gene Delivery (2 papers), Virus-based gene therapy research (2 papers), RNA and protein synthesis mechanisms (1 paper) and Viral Infectious Diseases and Gene Expression in Insects (1 paper). The work is most often cited by research in Genetics (290 citations), Molecular Biology (474 citations), Genetics (33 citations), Cardiology and Cardiovascular Medicine (56 citations) and Oncology (55 citations). Z Wang has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Xiangwei Xiao, Jian Zhang, J Li, Linqing Sun, Paula J. Grabowski, Heidi Hoffmann, John A. Detre, Yong Chen, Hong Wan and Marc Korczykowski. Their work appears in journals such as Gene Therapy, Oncogene, Transplantation, Clinical Pharmacology & Therapeutics and Brain Communications.

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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