Chiung‐Jung Wu

512 citations
53 papers · 315 indexed · h-index 11
Topics
Diabetes Management and Education (15 papers)Chronic Disease Management Strategies (11 papers)Cardiac Health and Mental Health (9 papers)
Partner nations
AustraliaTaiwanChina

In The Last Decade

Chiung‐Jung Wu

43 papers receiving 305 citations

Peers

Chiung‐Jung Wu
Comparison fields: 5 of 60
  • General Health Professions 106
  • Endocrinology, Diabetes and Metabolism 83
  • Cardiology and Cardiovascular Medicine 76
  • Epidemiology 69
  • Clinical Psychology 56
Replace Kristin Heggdal with:
Kristin Heggdal Norway
Francesco Pittella Italy
Nianqi Cui China
Margrét Hrönn Svavarsdóttir Iceland
Hiba Deek Lebanon
Maria Luisa Rega Italy
Shiah‐Lian Chen Taiwan
Dayle Hunt Joseph United States
Zohreh Parsa–Yekta Iran
Lorraine M. Thirsk Canada
Chiung‐Jung Wu relative to Kristin Heggdal Norway Kristin Heggdal's profile →
Citations per field
00.5×5.4×
Kristin Heggdal · 1×
Citations per year

Countries citing papers authored by Chiung‐Jung Wu

Since Specialization
Citations

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

Fields of papers citing papers by Chiung‐Jung Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chiung‐Jung Wu. 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 Chiung‐Jung Wu. The network helps show where Chiung‐Jung Wu may publish in the future.

Co-authorship network of co-authors of Chiung‐Jung Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Chiung‐Jung Wu. A scholar is included among the top collaborators of Chiung‐Jung Wu 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 Chiung‐Jung Wu. Chiung‐Jung Wu 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
#WorkIndexed citations
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8 0
9 2
10 1
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12 14
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15 24
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18 11
19 29
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About Chiung‐Jung Wu

Chiung‐Jung Wu is a scholar working on Research and Theory, Leadership and Management and Endocrinology, Diabetes and Metabolism, having authored 53 papers that have together received 315 indexed citations. Recurring topics across this work include Diabetes Management and Education (15 papers), Chronic Disease Management Strategies (11 papers) and Cardiac Health and Mental Health (9 papers). The work is most often cited by research in Research and Theory (10 citations), Leadership and Management (11 citations) and Endocrinology, Diabetes and Metabolism (83 citations). Chiung‐Jung Wu has collaborated with scholars based in Australia, Taiwan and China. Frequent co-authors include Anne M. Chang, Anne B. Chang, Karam Kostner, Yan Shi, Karen Willis, Maree Johnson, Xian‐Liang Liu, Kate Kynoch, Kun Li and Mary Courtney. Their work appears in journals such as BMJ Open, BMC Health Services Research and Transactions of the Royal Society of Tropical Medicine and Hygiene.

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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