Ying Chang

532 total citations
26 papers, 376 citations indexed

About

Ying Chang is a scholar working on Strategy and Management, Neurology and Physiology. According to data from OpenAlex, Ying Chang has authored 26 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Strategy and Management, 4 papers in Neurology and 4 papers in Physiology. Recurrent topics in Ying Chang's work include Parkinson's Disease Mechanisms and Treatments (4 papers), Chemokine receptors and signaling (3 papers) and Financial Reporting and Valuation Research (3 papers). Ying Chang is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (4 papers), Chemokine receptors and signaling (3 papers) and Financial Reporting and Valuation Research (3 papers). Ying Chang collaborates with scholars based in China, France and Hong Kong. Ying Chang's co-authors include Chao Huang, Jing-Jane Tsai, Nai‐Wen Guo, Anne Tsicopoulos, Han Vorng, André‐Bernard Tonnel, B. Wallaert, Olivier Moralès, Imane Azzaoui and Coline Plé and has published in prestigious journals such as Blood, The Journal of Immunology and Neurology.

In The Last Decade

Ying Chang

25 papers receiving 366 citations

Peers

Ying Chang
Comparison fields: 5 of 112
  • Immunology 92
  • Psychiatry and Mental health 60
  • Oncology 52
  • Neurology 45
  • Pediatrics, Perinatology and Child Health 39
Replace Peter Wiedemann with:
Peter Wiedemann Germany
Tung‐Han Tsai Taiwan
Rebecca Goulding United Kingdom
Jessica Dennis Canada
Verónica Alonso‐Ferreira Spain
Charlotte Rodwell France
Ronald L. Davis United States
Stéphanie Nguengang Wakap France
H. Kan United States
Peter Wiedemann Germany View profile →
Citations per field, relative to Ying Chang
Ying Chang · 1×
Citations per year, relative to Ying Chang
Ying Chang · 1×

Countries citing papers authored by Ying Chang

Since Specialization
Citations

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

Fields of papers citing papers by Ying Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Chang. A scholar is included among the top collaborators of Ying 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 Ying Chang. Ying Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 3
3 3
4 15
5 11
6 5
7 3
8 1
9 1
10 5
11 2
12 1
13 3
14 55
15 4
16
Quality of life and its influencing factors in patients with post-traumatic epilepsy.
8
17 25
18 6
19 20
20 72

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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