T. Hwang

652 citations
11 papers · 583 · h-index 8

Impact in

Papers in

T. Hwang

11 papers receiving 565 citations

Peers

T. Hwang
Comparison fields: 5 of 68
  • Pulmonary and Respiratory Medicine 272
  • Cellular and Molecular Neuroscience 106
  • Molecular Biology 340
  • Cardiology and Cardiovascular Medicine 83
  • Physiology 16
Replace Puay-Wah Phuan with:
Puay-Wah Phuan United States
Robert Bridenbaugh United States
Ambra Gianotti Italy
Clive Ellory United Kingdom
Roger Barber United States
Robert T. Grammer United States
A. L. Bradford United States
Chongshu Jian China
Constance Christian United States
Domenico Marzulli Italy
T. Hwang relative to Puay-Wah Phuan United States Puay-Wah Phuan's profile →
Citations per field
00.5×2.7×
Puay-Wah Phuan · 1×
Citations per year

Countries citing papers authored by T. Hwang

Since Specialization
Citations

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

Fields of papers citing papers by T. Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside T. Hwang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with T. Hwang Line = papers co-authored together T. Hwang links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 1997183
2 1990126
3 2008102
4 199264
5 199047
6 201324
7 201018
8
Regulation of CFTR channel gating.
19949
9 20106
10 20123
11 19921

About T. Hwang

T. Hwang is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cellular and Molecular Neuroscience, Genetics and Cardiology and Cardiovascular Medicine, having authored 11 papers that have together received 583 indexed citations. Recurring topics across this work include Ion channel regulation and function (6 papers), Cystic Fibrosis Research Advances (5 papers), Advanced biosensing and bioanalysis techniques (3 papers), Neuroscience and Neural Engineering (1 paper), Cardiac electrophysiology and arrhythmias (1 paper), Ion Transport and Channel Regulation (1 paper), Molecular Sensors and Ion Detection (1 paper) and Neuroscience and Neuropharmacology Research (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (272 citations), Cellular and Molecular Neuroscience (106 citations), Molecular Biology (340 citations), Cardiology and Cardiovascular Medicine (83 citations) and Physiology (16 citations). T. Hwang has collaborated with scholars based in United States, Czechia and Japan. Frequent co-authors include William B. Guggino, Tsung‐Yu Chen, Fei Wang, I-Chen Yang, W. W. Reenstra, Sandra E. Guggino, David C. Gadsby, Minoru Horie, Angus C. Nairn and Lili Lu. Their work appears in journals such as Cellular Physiology and Biochemistry, The Journal of General Physiology, American Journal of Physiology-Cell Physiology, Physiological Reviews and Proceedings of the National Academy of Sciences.

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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