Liang‐Dar Hwang

2.6k citations
42 papers · 858 indexed · h-index 17
Topics
Biochemical Analysis and Sensing Techniques (17 papers)Genetic Associations and Epidemiology (13 papers)Birth, Development, and Health (8 papers)

In The Last Decade

Liang‐Dar Hwang

36 papers receiving 845 citations

Peers

Liang‐Dar Hwang
Comparison fields: 5 of 100
  • Nutrition and Dietetics 349
  • Sensory Systems 214
  • Genetics 191
  • Food Science 141
  • Molecular Biology 133
Replace Lucien F. Harthoorn with:
Lucien F. Harthoorn Netherlands
Lone Brinkmann Sørensen Denmark
Clayton S. Hann United States
Niva Shapira Israel
Andrew M. Stanisz Canada
Nathaniel A. Sowa United States
Lynn Thomson United Kingdom
Heather Parr United Kingdom
Marappa G. Subramanian United States
Emma L. Feeney Ireland
Liang‐Dar Hwang relative to Lucien F. Harthoorn Netherlands Lucien F. Harthoorn's profile →
Citations per field
00.5×6.3×
Lucien F. Harthoorn · 1×
Citations per year

Countries citing papers authored by Liang‐Dar Hwang

Since Specialization
Citations

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

Fields of papers citing papers by Liang‐Dar Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Liang‐Dar Hwang. 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 Liang‐Dar Hwang. The network helps show where Liang‐Dar Hwang may publish in the future.

Co-authorship network of co-authors of Liang‐Dar Hwang

This figure shows the co-authorship network connecting the top 25 collaborators of Liang‐Dar Hwang. A scholar is included among the top collaborators of Liang‐Dar Hwang 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 Liang‐Dar Hwang. Liang‐Dar Hwang 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 0
2 1
3 5
4 3
5 2
6 6
7 5
8 14
9 4
10 3
11 1
12 11
13 18
14 0
15 20
16 46
17 9
18 35
19 19
20 7

About Liang‐Dar Hwang

Liang‐Dar Hwang is a scholar working on Sensory Systems, Nutrition and Dietetics and Genetics, having authored 42 papers that have together received 858 indexed citations. Recurring topics across this work include Biochemical Analysis and Sensing Techniques (17 papers), Genetic Associations and Epidemiology (13 papers) and Birth, Development, and Health (8 papers). The work is most often cited by research in Sensory Systems (214 citations), Nutrition and Dietetics (349 citations) and Food Science (141 citations). Liang‐Dar Hwang has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Danielle R. Reed, David M. Evans, Nicole M. Warrington, Sarah V. Lipchock, Julie A. Mennella, Debbie A. Lawlor, Keith M. Derbyshire, Nigel D. F. Grindley, Nicholas G. Martin and Paul Breslin. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications 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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