David T. Liu

3.2k total citations · 1 hit paper
91 papers, 2.3k citations indexed

About

David T. Liu is a scholar working on Sensory Systems, Otorhinolaryngology and Biomedical Engineering. According to data from OpenAlex, David T. Liu has authored 91 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Sensory Systems, 27 papers in Otorhinolaryngology and 22 papers in Biomedical Engineering. Recurrent topics in David T. Liu's work include Olfactory and Sensory Function Studies (33 papers), Advanced Chemical Sensor Technologies (22 papers) and Allergic Rhinitis and Sensitization (18 papers). David T. Liu is often cited by papers focused on Olfactory and Sensory Function Studies (33 papers), Advanced Chemical Sensor Technologies (22 papers) and Allergic Rhinitis and Sensitization (18 papers). David T. Liu collaborates with scholars based in Austria, Germany and United States. David T. Liu's co-authors include Steven A. Siegelbaum, Gareth R. Tibbs, Dušan Bartsch, Eric R. Kandel, Bina Santoro, Gerold Besser, Christian A. Mueller, Jim Gray, David J. DeWitt and Alexander S. Szalay and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Neuron.

In The Last Decade

David T. Liu

83 papers receiving 2.2k citations

Hit Papers

Identification of a Gene Encoding a Hyperpolarization-Act... 1998 2026 2007 2016 1998 100 200 300 400 500

Peers

David T. Liu
Comparison fields: 5 of 148
  • Molecular Biology 786
  • Cellular and Molecular Neuroscience 600
  • Sensory Systems 554
  • Cardiology and Cardiovascular Medicine 322
  • Biomedical Engineering 319
Replace Kay‐Pong Yip with:
Kay‐Pong Yip United States
Satoshi Kurihara Japan
Xiaosong Wang China
Rüdiger Rudolf Germany
Philippe Bijlenga Switzerland
David Van Den Berg United States
David T. Miller United States
Zhandong Liu United States
Marjan Slak Rupnik Slovenia
Guangyu Wu United States
Kay‐Pong Yip United States View profile →
Citations per field, relative to David T. Liu
David T. Liu · 1×
Citations per year, relative to David T. Liu
David T. Liu · 1×

Countries citing papers authored by David T. Liu

Since Specialization
Citations

This map shows the geographic impact of David T. 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 David T. Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David T. Liu more than expected).

Fields of papers citing papers by David T. Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David T. Liu

This figure shows the co-authorship network connecting the top 25 collaborators of David T. Liu. A scholar is included among the top collaborators of David T. 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 David T. Liu. David T. 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
# Work Indexed citations
1 1
2 2
3 0
4 4
5 2
6 1
7 11
8 3
9 4
10 13
11 11
12 4
13 72
14 5
15 13
16 12
17 32
18 3
19 31
20
The Design of GridDB: A Data-Centric Overlay for the Scientific Grid.
26

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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