Ching Shan Wan

39 total papers · 3.7k total citations
23 papers, 529 citations indexed

About

Ching Shan Wan is a scholar working on Epidemiology, Surgery and Occupational Therapy. According to data from OpenAlex, Ching Shan Wan has authored 23 papers receiving a total of 529 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 6 papers in Surgery and 6 papers in Occupational Therapy. Recurrent topics in Ching Shan Wan's work include Pressure Ulcer Prevention and Management (6 papers), Gestational Diabetes Research and Management (5 papers) and Burn Injury Management and Outcomes (4 papers). Ching Shan Wan is often cited by papers focused on Pressure Ulcer Prevention and Management (6 papers), Gestational Diabetes Research and Management (5 papers) and Burn Injury Management and Outcomes (4 papers). Ching Shan Wan collaborates with scholars based in Australia, Netherlands and Singapore. Ching Shan Wan's co-authors include Andrea B. Maier, Esmee M. Reijnierse, Jane J Xu, Helena Teede, Rosalie Aroni, Alison Nankervis, Julie Briody, Mandy Ho, Chris Cowell and Kelvin K. Leung and has published in prestigious journals such as Cochrane Database of Systematic Reviews, Nutrients and Archives of Physical Medicine and Rehabilitation.

In The Last Decade

Ching Shan Wan

16 papers receiving 524 citations

Hit Papers

Sarcopenia Is Associated ... 2021 2026 2022 2024 2021 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Ching Shan Wan 309 118 80 73 70 23 529
Kyle L. Thompson 303 1.0× 104 0.9× 71 0.9× 138 1.9× 86 1.2× 18 495
Tami A. Piemonte 378 1.2× 86 0.7× 64 0.8× 105 1.4× 77 1.1× 12 546
Ann Ödlund Olin 383 1.2× 134 1.1× 51 0.6× 75 1.0× 181 2.6× 19 553
Noor Hafizah Ismail 293 0.9× 123 1.0× 36 0.5× 74 1.0× 42 0.6× 29 495
Dana Hyassat 56 0.2× 25 0.2× 18 0.2× 47 0.6× 78 1.1× 30 552
Gayani Alwis 212 0.7× 34 0.3× 5 0.1× 96 1.3× 112 1.6× 30 594
J Takala 72 0.2× 19 0.2× 26 0.3× 100 1.4× 220 3.1× 12 549
Randi J. Tangvik 350 1.1× 149 1.3× 26 0.3× 152 2.1× 93 1.3× 24 516
Lee M. Pierson 136 0.4× 15 0.1× 11 0.1× 89 1.2× 45 0.6× 25 594
Christopher Dyer 99 0.3× 39 0.3× 9 0.1× 38 0.5× 41 0.6× 26 474

Countries citing papers authored by Ching Shan Wan

Since Specialization
Citations

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

Fields of papers citing papers by Ching Shan Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ching Shan Wan. 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 Ching Shan Wan. The network helps show where Ching Shan Wan may publish in the future.

Co-authorship network of co-authors of Ching Shan Wan

This figure shows the co-authorship network connecting the top 25 collaborators of Ching Shan Wan. A scholar is included among the top collaborators of Ching Shan Wan 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 Ching Shan Wan. Ching Shan Wan 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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