Ge Dai

3.4k total citations · 1 hit paper
34 papers, 2.4k citations indexed

About

Ge Dai is a scholar working on Molecular Biology, Epidemiology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Ge Dai has authored 34 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 6 papers in Epidemiology and 6 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Ge Dai's work include Ion channel regulation and function (9 papers), Respiratory viral infections research (5 papers) and Nicotinic Acetylcholine Receptors Study (5 papers). Ge Dai is often cited by papers focused on Ion channel regulation and function (9 papers), Respiratory viral infections research (5 papers) and Nicotinic Acetylcholine Receptors Study (5 papers). Ge Dai collaborates with scholars based in China, United States and Germany. Ge Dai's co-authors include Orlie Levy, Nancy Carrasco, Donald D. F. Loo, Ernest M. Wright, Sepehr Eskandari, Christopher S. Ginter, Claudia A. Riedel, Elliot M. Paul, Antonio De la Vieja and McHardy M. Smith and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Ge Dai

32 papers receiving 2.3k citations

Hit Papers

Cloning and characterization of the thyroid iodide transp... 1996 2026 2006 2016 1996 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ge Dai China 18 1.0k 986 376 230 218 34 2.4k
Nicoletta Fortunati Italy 34 1.1k 1.1× 841 0.9× 641 1.7× 110 0.5× 145 0.7× 87 2.7k
Antonio De la Vieja Spain 24 1.2k 1.1× 1.3k 1.3× 324 0.9× 266 1.2× 237 1.1× 43 2.7k
Éric Rhéaume Canada 31 1.3k 1.3× 1.5k 1.5× 691 1.8× 85 0.4× 157 0.7× 99 3.3k
Yoshimasa Shishiba Japan 24 488 0.5× 978 1.0× 305 0.8× 187 0.8× 171 0.8× 116 2.0k
T.J. Visser Netherlands 31 503 0.5× 1.1k 1.1× 213 0.6× 215 0.9× 758 3.5× 74 3.0k
Renata Kozyraki France 27 1.2k 1.1× 218 0.2× 263 0.7× 207 0.9× 103 0.5× 48 2.7k
Yuping Xu China 23 832 0.8× 315 0.3× 214 0.6× 129 0.6× 225 1.0× 103 2.6k
Robert Brommage United States 32 1.3k 1.3× 504 0.5× 435 1.2× 152 0.7× 94 0.4× 76 2.8k
Nobuo Matsuura Japan 30 854 0.8× 1.3k 1.3× 1.3k 3.4× 283 1.2× 143 0.7× 127 3.2k
Magnus R. Dias‐da‐Silva Brazil 22 865 0.8× 481 0.5× 302 0.8× 71 0.3× 131 0.6× 100 1.8k

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-authorship network of co-authors of Ge Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Ge Dai. A scholar is included among the top collaborators of Ge Dai 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 Ge Dai. Ge Dai 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
1.
Dai, Ge, Ting Wang, Huiming Sun, et al.. (2023). Comparison of the clinical features of human bocavirus and metapneumovirus lower respiratory tract infections in hospitalized children in Suzhou, China. Frontiers in Pediatrics. 10. 1074484–1074484. 12 indexed citations
2.
Dai, Ge, Ting Wang, Yuting He, et al.. (2023). Antimicrobial susceptibility and serotype distribution of Streptococcus pneumoniae isolates among children in Suzhou, China. Translational Pediatrics. 12(12). 2203–2212. 7 indexed citations
3.
Dai, Ge, Xiaohui Jiang, Ting Wang, et al.. (2022). Clinical Characteristics of Pediatric Respiratory Tract Infection and Respiratory Pathogen Isolation During the Coronavirus Disease 2019 Pandemic. Frontiers in Pediatrics. 9. 759213–759213. 20 indexed citations
4.
Jiang, Xiaohui, Ting Wang, Ge Dai, et al.. (2022). Clinical characteristics and etiology of children with bronchiolitis before and during the COVID-19 pandemic in Suzhou, China. Frontiers in Pediatrics. 10. 974769–974769. 2 indexed citations
5.
Wang, Ting, Huiming Sun, Wujun Jiang, et al.. (2022). The CARDS toxin of Mycoplasma pneumoniae induces a positive feedback loop of type 1 immune response. Frontiers in Immunology. 13. 1054788–1054788. 14 indexed citations
6.
Xu, Qiuyan, Ge Dai, Zhengrong Chen, et al.. (2021). Clinical characteristics of children with airway malacia complicated by pneumonia. BMC Infectious Diseases. 21(1). 902–902. 4 indexed citations
7.
Dai, Ge, Ting Wang, Wujun Jiang, et al.. (2021). Pulmonary Involvement in Children With Systemic Lupus Erythematosus. Frontiers in Pediatrics. 8. 617137–617137. 4 indexed citations
8.
Yang, Fengming, Ruijian Zhu, Ge Dai, et al.. (2020). Synergistic effects of amorphous porous materials and anhydrous Na2CO3 on the performance of bricks with high municipal sewage sludge content. Journal of Cleaner Production. 280. 124338–124338. 20 indexed citations
9.
McManus, Owen B., William A. Schmalhofer, Dong‐Ming Shen, et al.. (2012). Selective, Direct Activation of High-Conductance, Calcium-Activated Potassium Channels Causes Smooth Muscle Relaxation. Molecular Pharmacology. 81(4). 567–577. 17 indexed citations
10.
Swensen, Andrew M., James Herrington, Randal M. Bugianesi, et al.. (2011). Characterization of the Substituted N-Triazole Oxindole TROX-1, a Small-Molecule, State-Dependent Inhibitor of Cav2 Calcium Channels. Molecular Pharmacology. 81(3). 488–497. 56 indexed citations
11.
Dai, Ge, Rodolfo Haedo, Vivien A. Warren, et al.. (2008). A High-Throughput Assay for Evaluating State Dependence and Subtype Selectivity of Cav2 Calcium Channel Inhibitors. Assay and Drug Development Technologies. 6(2). 195–212. 43 indexed citations
12.
Li, Jian, Huaijun Tu, Jie Li, et al.. (2007). N-acetyl cysteine inhibits human signet ring cell gastric cancer cell line (SJ-89) cell growth by inducing apoptosis and DNA synthesis arrest. European Journal of Gastroenterology & Hepatology. 19(9). 769–774. 10 indexed citations
13.
J, Li, et al.. (2007). Skin epithelial cells in mice from umbilical cord blood mesenchymal stem cells. Burns. 33(4). 418–428. 32 indexed citations
14.
Dai, Ge, et al.. (2006). Inhibitory effects of lanthanum chloride on extracellular matrix in injury tissues of rats. Burns. 32(7). 858–866. 4 indexed citations
15.
J, Li, Jie Li, Li Yu, et al.. (2002). EFFECTS OF RARE EARTH COMPOUNDS ON GROWTH AND APOPTOSIS OF LEUKEMIC CELL LINES. In Vitro Cellular & Developmental Biology - Animal. 38(7). 373–373. 70 indexed citations
17.
Levy, Orlie, Antonio De la Vieja, Christopher S. Ginter, et al.. (1998). N-linked Glycosylation of the Thyroid Na+/I− Symporter (NIS). Journal of Biological Chemistry. 273(35). 22657–22663. 157 indexed citations
18.
Kang, Borami, et al.. (1998). Inhibitory effects of cyproheptadine on pituitary-thyroid axis and pancreatic beta cells in rats.. PubMed. 19(6). 554–6.
19.
Dai, Ge, Orlie Levy, & Nancy Carrasco. (1996). Cloning and characterization of the thyroid iodide transporter. Nature. 379(6564). 458–460. 869 indexed citations breakdown →
20.
Kaminsky, Stephen M., Orlie Levy, Carolina Salvador, Ge Dai, & Nancy Carrasco. (1993). The Na+/I- symporter of the thyroid gland.. PubMed. 48. 251–62. 15 indexed citations

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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