D. Wan-Chow-Wah

35 total papers · 678 total citations
18 papers, 425 citations indexed

About

D. Wan-Chow-Wah is a scholar working on Geriatrics and Gerontology, Physiology and Oncology. According to data from OpenAlex, D. Wan-Chow-Wah has authored 18 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Geriatrics and Gerontology, 8 papers in Physiology and 6 papers in Oncology. Recurrent topics in D. Wan-Chow-Wah's work include Frailty in Older Adults (10 papers), Nutrition and Health in Aging (8 papers) and Health Systems, Economic Evaluations, Quality of Life (6 papers). D. Wan-Chow-Wah is often cited by papers focused on Frailty in Older Adults (10 papers), Nutrition and Health in Aging (8 papers) and Health Systems, Economic Evaluations, Quality of Life (6 papers). D. Wan-Chow-Wah collaborates with scholars based in Canada, France and Australia. D. Wan-Chow-Wah's co-authors include Johanne Monette, Martine Puts, Monika K. Krzyzanowska, Shabbir M.H. Alibhai, Margaret I. Fitch, Elena Springall, Doris Howell, M. Monette, Nadia Sourial and Howard Bergman and has published in prestigious journals such as Journal of Clinical Oncology, Journal of Neurophysiology and The Journals of Gerontology Series A.

In The Last Decade

D. Wan-Chow-Wah

17 papers receiving 414 citations

Author Peers

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

Author Last Decade Papers Cites
D. Wan-Chow-Wah 169 169 106 102 96 18 425
Denise Dal Lago 194 1.1× 182 1.1× 115 1.1× 53 0.5× 57 0.6× 9 494
William T. Leslie 78 0.5× 232 1.4× 138 1.3× 77 0.8× 56 0.6× 15 484
Alice Nourissat 61 0.4× 130 0.8× 153 1.4× 29 0.3× 17 0.2× 16 472
Charlene Martin 56 0.3× 171 1.0× 47 0.4× 114 1.1× 50 0.5× 22 373
Oliver Higuera 57 0.3× 301 1.8× 38 0.4× 52 0.5× 15 0.2× 38 472
Marloes G.M. Derks 60 0.4× 218 1.3× 50 0.5× 25 0.2× 35 0.4× 28 393
Leana Cabrera Chien 268 1.6× 156 0.9× 161 1.5× 107 1.0× 108 1.1× 19 394
Elsa Roberts 263 1.6× 148 0.9× 157 1.5× 105 1.0× 105 1.1× 13 390
Margarita Udall 31 0.2× 125 0.7× 78 0.7× 18 0.2× 32 0.3× 22 477
Linda Pang 142 0.8× 119 0.7× 165 1.6× 61 0.6× 7 0.1× 20 441

Countries citing papers authored by D. Wan-Chow-Wah

Since Specialization
Citations

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

Fields of papers citing papers by D. Wan-Chow-Wah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. Wan-Chow-Wah. 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 D. Wan-Chow-Wah. The network helps show where D. Wan-Chow-Wah may publish in the future.

Co-authorship network of co-authors of D. Wan-Chow-Wah

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

All Works

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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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