Ge Dai

3.5k citations
37 papers · 2.5k · 1 hit paper · h-index 18

Impact in

Papers in

Ge Dai

34 papers receiving 2.5k citations

Ge Dai's Hit Papers

Cloning and characterization of the thyroid iodide transporter 1996 · 942 citations
9420+10+20Years since publication250500750

Peers

Ge Dai
Comparison fields: 5 of 132
  • Endocrinology, Diabetes and Metabolism 1.0k
  • Molecular Biology 1.0k
  • Sensory Systems 65
  • Pediatrics, Perinatology and Child Health 227
  • Endocrine and Autonomic Systems 82
Replace Antonio De la Vieja with:
Antonio De la Vieja Spain
Marie‐Christine Many Belgium
Michio Kuwahara Japan
Hiroyasu Tsukaguchi Japan
Y. Oka Japan
Rosemary Steinmetz United States
Gary A. Quamme Canada
Renate B. Pilz United States
Djahida Bedja United States
I. David Weiner United States
Ge Dai relative to Antonio De la Vieja Spain Antonio De la Vieja's profile →
Citations per field
00.5×1.5×2.0×
Antonio De la Vieja · 1×
Citations per year

Countries citing papers authored by Ge Dai

Since Specialization
Citations

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

Fields of papers citing papers by Ge Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ge Dai, 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 Ge Dai Line = papers co-authored together Ge Dai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Cloning and characterization of the thyroid iodide transporter
Hit paper breakdown →
1996942
2 1997392
3 2002209
4 1997201
5 1998163
6 199483
7 200275
8 201158
9 200845
10 201837
11 200734
12 201834
13 199825
14 200324
15 202022
16 201221
17 202220
18 200520
19 202217
20 200217

About Ge Dai

Ge Dai is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Epidemiology, Surgery and Cellular and Molecular Neuroscience, having authored 37 papers that have together received 2.5k indexed citations. Recurring topics across this work include Ion channel regulation and function (10 papers), Ion Transport and Channel Regulation (5 papers), Nicotinic Acetylcholine Receptors Study (5 papers), Thyroid Disorders and Treatments (4 papers), Cardiac electrophysiology and arrhythmias (3 papers), Respiratory viral infections research (3 papers), Pancreatic function and diabetes (3 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.0k citations), Molecular Biology (1.0k citations), Sensory Systems (65 citations), Pediatrics, Perinatology and Child Health (227 citations) and Endocrine and Autonomic Systems (82 citations). Ge Dai has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Nancy Carrasco, Orlie Levy, Donald D. F. Loo, Sepehr Eskandari, Ernest M. Wright, Claudia A. Riedel, Christopher S. Ginter, Elliot M. Paul, Antonio De la Vieja and Vivien A. Warren. Their work appears in journals such as Frontiers in Pediatrics, Biochemistry, Molecular Pharmacology, Burns 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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