Ge Dai

3.5k citations
45 papers · 2.9k · 1 hit paper · h-index 22

Impact in

Papers in

Ge Dai

42 papers receiving 2.8k citations

Ge Dai's Hit Papers

Cloning and characterization of the thyroid iodide transporter 1996 · 950 citations
9500+10+20Years since publication250500750

Peers

Ge Dai
Comparison fields: 5 of 139
  • Endocrinology, Diabetes and Metabolism 1.1k
  • Molecular Biology 1.2k
  • Sensory Systems 75
  • Cellular and Molecular Neuroscience 260
  • Endocrine and Autonomic Systems 90
Replace Thomas Nilsson with:
Thomas Nilsson Sweden
Baljit S. Moonga United States
Thomas R. Downs United States
Michio Kuwahara Japan
Benoit R. Gauthier Spain
RAGNAR EKHOLM Sweden
Nickolai O. Dulin United States
Michel Tauc France
Yoshinaga Oka Japan
Gary A. Quamme Canada
Ge Dai relative to Thomas Nilsson Sweden Thomas Nilsson's profile →
Citations per field
00.5×1.5×2×2.5×
Thomas Nilsson · 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 45 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 →
1996950
2 1997393
3 2002217
4 1997202
5 1998166
6 201090
7 199483
8 200275
9 201764
10 201161
11 200850
12 200949
13 201838
14 201837
15 201737
16 200735
17 201229
18 200428
19 200326
20 199825

About Ge Dai

Ge Dai is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience and Epidemiology, having authored 45 papers that have together received 2.9k indexed citations. Recurring topics across this work include Ion channel regulation and function (15 papers), Nicotinic Acetylcholine Receptors Study (7 papers), Pancreatic function and diabetes (5 papers), Cardiac electrophysiology and arrhythmias (5 papers), Ion Transport and Channel Regulation (5 papers), Thyroid Disorders and Treatments (4 papers), Respiratory viral infections research (3 papers) and Diabetes Treatment and Management (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.1k citations), Molecular Biology (1.2k citations), Sensory Systems (75 citations), Cellular and Molecular Neuroscience (260 citations) and Endocrine and Autonomic Systems (90 citations). Ge Dai has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Orlie Levy, Nancy Carrasco, Ernest Marshall Wright, Sepehr Eskandari, Donald D. F. Loo, Christopher S. Ginter, Claudia A. Riedel, Elliot M. Paul, Antonio De la Vieja and McHardy M. Smith. Their work appears in journals such as Biochemistry, Frontiers in Pediatrics, Diabetes, Proceedings of the National Academy of Sciences and Molecular Pharmacology.

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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