Donald Liu

973 citations
25 papers · 721 indexed · h-index 14
Topics
Structural Integrity and Reliability Analysis (5 papers)Neonatal Respiratory Health Research (3 papers)Infant Nutrition and Health (3 papers)
Partner nations
United StatesChinaJapan

In The Last Decade

Donald Liu

24 papers receiving 694 citations

Peers

Donald Liu
Comparison fields: 5 of 108
  • Molecular Biology 154
  • Oral Surgery 137
  • Mechanical Engineering 117
  • Surgery 91
  • Computational Mechanics 81
Replace Shelly Arora with:
Shelly Arora India
Antônio Canabarro Brazil
Pietro Messina Italy
Francesco Giordano Italy
Giusy Rita Maria La Rosa Italy
Chee Kiang Tay Singapore
Peter Jonasson Sweden
Irving J. Naidorf United States
Ralph R. Lobene United States
Donald Liu relative to Shelly Arora India Shelly Arora's profile →
Citations per field
00.5×4.7×
Shelly Arora · 1×
Citations per year

Countries citing papers authored by Donald Liu

Since Specialization
Citations

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

Fields of papers citing papers by Donald Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Donald Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Donald Liu. A scholar is included among the top collaborators of Donald Liu 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 Donald Liu. Donald Liu 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
1 8
2 1
3 108
4 35
5 22
6 31
7 25
8 48
9 21
10 0
11 28
12 1
13
Advanced ‘Dynamic Loading Approach’ For Ultra Large Container Carriers Based On Nonlinear Time-Domain Seakeeping Analysis
4
14 8
15 50
16 33
17 16
18 137
19 94
20 2

About Donald Liu

Donald Liu is a scholar working on Medical Laboratory Technology, Nutrition and Dietetics and Industrial and Manufacturing Engineering, having authored 25 papers that have together received 721 indexed citations. Recurring topics across this work include Structural Integrity and Reliability Analysis (5 papers), Neonatal Respiratory Health Research (3 papers) and Infant Nutrition and Health (3 papers). The work is most often cited by research in Oral Surgery (137 citations), Orthodontics (65 citations) and Medical Laboratory Technology (22 citations). Donald Liu has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Bekir Karabucak, Ge Wang, Valeriy Poroyko, Erica M. Carlisle, John Alverdy, Mindy B. Statter, Michael S. Caplan, Hideomi Ohtsubo, Ge Wang and John C. Alverdy. Their work appears in journals such as Nature Immunology, The Journal of Immunology and PLoS ONE.

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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