Chi-Chuan Wu

18 total papers · 574 total citations
18 papers, 472 citations indexed

About

Chi-Chuan Wu is a scholar working on Surgery, Epidemiology and Geriatrics and Gerontology. According to data from OpenAlex, Chi-Chuan Wu has authored 18 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Surgery, 7 papers in Epidemiology and 6 papers in Geriatrics and Gerontology. Recurrent topics in Chi-Chuan Wu's work include Hip and Femur Fractures (9 papers), Frailty in Older Adults (6 papers) and Bone fractures and treatments (5 papers). Chi-Chuan Wu is often cited by papers focused on Hip and Femur Fractures (9 papers), Frailty in Older Adults (6 papers) and Bone fractures and treatments (5 papers). Chi-Chuan Wu collaborates with scholars based in Taiwan and United States. Chi-Chuan Wu's co-authors include Chun‐Hsiung Shih, Min-Chi Chen, Jersey Liang, Jersey Liang, Yea‐Ing Lotus Shyu, Ching‐Lung Tai, Yea‐Ing Lotus Shyu, Shih‐Wei Chou, I‐Chuan Tseng and C.L. Wu and has published in prestigious journals such as The Journals of Gerontology Series A, Osteoporosis International and International Journal of Nursing Studies.

In The Last Decade

Chi-Chuan Wu

18 papers receiving 450 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Chi-Chuan Wu 368 120 109 102 91 18 472
Michael Brennan 311 0.8× 209 1.7× 103 0.9× 74 0.7× 52 0.6× 23 458
Anu Salpakoski 257 0.7× 95 0.8× 50 0.5× 131 1.3× 86 0.9× 15 441
Elizabeth Robinson 138 0.4× 60 0.5× 104 1.0× 38 0.4× 84 0.9× 11 480
Joseph A. Nicholas 195 0.5× 148 1.2× 59 0.5× 107 1.0× 107 1.2× 24 471
Antonella Barone 321 0.9× 195 1.6× 44 0.4× 73 0.7× 136 1.5× 21 498
Dagmar I. Vos 413 1.1× 114 0.9× 162 1.5× 26 0.3× 30 0.3× 25 550
Benjamin Bücking 452 1.2× 135 1.1× 67 0.6× 26 0.3× 80 0.9× 29 504
Ilona Nurmi 239 0.6× 101 0.8× 43 0.4× 31 0.3× 265 2.9× 17 488
Emilio Martini 212 0.6× 110 0.9× 27 0.2× 65 0.6× 60 0.7× 22 493
George Forrest 256 0.7× 46 0.4× 36 0.3× 29 0.3× 20 0.2× 25 540

Countries citing papers authored by Chi-Chuan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Chi-Chuan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chi-Chuan 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 Chi-Chuan Wu. The network helps show where Chi-Chuan Wu may publish in the future.

Co-authorship network of co-authors of Chi-Chuan Wu

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026