Yung‐Nien Chang

1.5k citations
19 papers · 1.2k indexed · 1 hit paper · h-index 15
Topics
Virus-based gene therapy research (7 papers)Cervical Cancer and HPV Research (6 papers)Immunotherapy and Immune Responses (6 papers)
Partner nations
United StatesTaiwanChina

In The Last Decade

Yung‐Nien Chang

19 papers receiving 1.2k citations

Hit Papers

Dopaminergic Neurons Protected from Degeneration by GDNF ...19972026200620161997100200300400500

Peers

Yung‐Nien Chang
Comparison fields: 5 of 85
  • Molecular Biology 553
  • Cellular and Molecular Neuroscience 517
  • Genetics 392
  • Epidemiology 205
  • Developmental Neuroscience 171
Replace Ché Serguera with:
Ché Serguera France
S. Kaye Spratt United States
Shoushu Jiao United States
Petros Hantzopoulos United States
S P Squinto United States
Véronique Proux‐Gillardeaux France
Inês Martins United States
Naohide Ageyama Japan
Mark E. O’Malley United States
Attya Omer United States
Yung‐Nien Chang relative to Ché Serguera France Ché Serguera's profile →
Citations per field
00.5×3.4×
Ché Serguera · 1×
Citations per year

Countries citing papers authored by Yung‐Nien Chang

Since Specialization
Citations

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

Fields of papers citing papers by Yung‐Nien Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yung‐Nien Chang. 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 Yung‐Nien Chang. The network helps show where Yung‐Nien Chang may publish in the future.

Co-authorship network of co-authors of Yung‐Nien Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Yung‐Nien Chang. A scholar is included among the top collaborators of Yung‐Nien Chang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yung‐Nien Chang. Yung‐Nien Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 4
2 6
3 14
4 25
5 23
6 50
7 35
8 27
9 54
10 3
11 59
12 58
13 21
14 7
15 157
16
Dopaminergic Neurons Protected from Degeneration by GDNF Gene Therapybreakdown →
523
17 25
18 77
19 30

About Yung‐Nien Chang

Yung‐Nien Chang is a scholar working on Virology, Immunology and Epidemiology, having authored 19 papers that have together received 1.2k indexed citations. Recurring topics across this work include Virus-based gene therapy research (7 papers), Cervical Cancer and HPV Research (6 papers) and Immunotherapy and Immune Responses (6 papers). The work is most often cited by research in Developmental Neuroscience (171 citations), Cellular and Molecular Neuroscience (517 citations) and Genetics (392 citations). Yung‐Nien Chang has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Ya‐Wen Chiang, Martha C. Bohn, DL Choi-Lundberg, Qing Lin, Beverly L. Davidson, Carl Hay, H. Mohajeri, Tim Schallert, Kuan‐Teh Jeang and Gerard J. McGarrity. Their work appears in journals such as Science, Nucleic Acids Research and Journal of Virology.

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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