Thomas Yau

554 citations
11 papers · 365 indexed · 1 hit paper · h-index 8
Topics
COVID-19 Clinical Research Studies (2 papers)Economic and Financial Impacts of Cancer (2 papers)COVID-19 and healthcare impacts (2 papers)

In The Last Decade

Thomas Yau

11 papers receiving 359 citations

Hit Papers

Systematic review and meta‐analysis of protein intake to ...202220262023202420224080120

Peers

Thomas Yau
Comparison fields: 5 of 90
  • Physiology 98
  • Oncology 95
  • Cell Biology 69
  • Public Health, Environmental and Occupational Health 64
  • Molecular Biology 46
Replace David Ciccolella with:
David Ciccolella United States
Catherine B. Molloy Ireland
Grace K. Kim United States
Kathryn P Trayes United States
Pushparaja Shetty India
Marie Øbro Fosbøl Denmark
Katherine Chen United States
Maria de Fátima Guerreiro Godoy Brazil
Katy R. Wiessing New Zealand
Huiyu Chen China
Thomas Yau relative to David Ciccolella United States David Ciccolella's profile →
Citations per field
00.5×9.9×
David Ciccolella · 1×
Citations per year

Countries citing papers authored by Thomas Yau

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Yau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Yau

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 10
2
Systematic review and meta‐analysis of protein intake to support muscle mass and function in healthy adultsbreakdown →
141
3 67
4 28
5 35
6 47
7 1
8
Review: metronomic chemotherapy for advanced cutaneous angiosarcoma.
3
9 21
10 9
11 3

About Thomas Yau

Thomas Yau is a scholar working on Ophthalmology, Dermatology and Oncology, having authored 11 papers that have together received 365 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (2 papers), Economic and Financial Impacts of Cancer (2 papers) and COVID-19 and healthcare impacts (2 papers). The work is most often cited by research in Cell Biology (69 citations), Physiology (98 citations) and Oncology (95 citations). Thomas Yau has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Michail Sideris, Amer Harky, Kathrine S Rallis, Philip J. Atherton, Diana Sherifali, Sean McKellar, Donna Fitzpatrick‐Lewis, Daniel Tomé, Muhammad Usman Ali and Everson Araújo Nunes. Their work appears in journals such as Cancer Cell, American Journal of Ophthalmology and Endocrine Related Cancer.

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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