Long‐Jun Dai

3.1k total citations
60 papers, 2.4k citations indexed

About

Long‐Jun Dai is a scholar working on Molecular Biology, Nutrition and Dietetics and Nephrology. According to data from OpenAlex, Long‐Jun Dai has authored 60 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 21 papers in Nutrition and Dietetics and 13 papers in Nephrology. Recurrent topics in Long‐Jun Dai's work include Magnesium in Health and Disease (21 papers), Ion Transport and Channel Regulation (14 papers) and Parathyroid Disorders and Treatments (12 papers). Long‐Jun Dai is often cited by papers focused on Magnesium in Health and Disease (21 papers), Ion Transport and Channel Regulation (14 papers) and Parathyroid Disorders and Treatments (12 papers). Long‐Jun Dai collaborates with scholars based in Canada, China and United States. Long‐Jun Dai's co-authors include Gary A. Quamme, Gordon Ritchie, Garth L. Warnock, Dirk Kerstan, Yahong Yuan, Dongsheng Li, Qingle Liang, Hyung Sub Kang, Peter A. Friedman and Jeff X. Zhou and has published in prestigious journals such as Journal of Biological Chemistry, Physiological Reviews and SHILAP Revista de lepidopterología.

In The Last Decade

Long‐Jun Dai

59 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Long‐Jun Dai Canada 27 1.1k 670 509 374 324 60 2.4k
Lorenza Tacchini Italy 28 1.3k 1.2× 376 0.6× 414 0.8× 282 0.8× 152 0.5× 74 2.8k
John W. Forstrom United States 18 1.3k 1.2× 245 0.4× 369 0.7× 417 1.1× 218 0.7× 23 3.5k
Stan F.J. van de Graaf Netherlands 35 1.4k 1.3× 967 1.4× 604 1.2× 74 0.2× 204 0.6× 91 3.7k
David B. Bregman United States 28 1.9k 1.8× 169 0.3× 171 0.3× 488 1.3× 279 0.9× 43 3.3k
Kimihiko Sano Japan 24 1.3k 1.2× 218 0.3× 111 0.2× 144 0.4× 266 0.8× 60 2.7k
Charles K. Lumpkin United States 34 1.8k 1.7× 320 0.5× 115 0.2× 120 0.3× 565 1.7× 69 3.4k
Gang Ning United States 21 748 0.7× 153 0.2× 117 0.2× 245 0.7× 190 0.6× 54 2.2k
Donald P. Cameron Australia 34 1.6k 1.5× 701 1.0× 145 0.3× 96 0.3× 492 1.5× 98 3.7k
W. van Duijn Netherlands 23 772 0.7× 561 0.8× 191 0.4× 213 0.6× 316 1.0× 32 2.3k
John Li United States 31 1.3k 1.2× 552 0.8× 76 0.1× 118 0.3× 398 1.2× 82 4.0k

Countries citing papers authored by Long‐Jun Dai

Since Specialization
Citations

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

Fields of papers citing papers by Long‐Jun Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Long‐Jun Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Long‐Jun Dai. A scholar is included among the top collaborators of Long‐Jun 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 Long‐Jun Dai. Long‐Jun 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.
Tang, Xiangjun, Jing Zhu, Aiping Deng, et al.. (2022). Case Report: Primary Pulmonary Angiosarcoma With Brain Metastasis. Frontiers in Bioengineering and Biotechnology. 9. 803868–803868.
2.
Peng, Hao, Xingrong Guo, Chao Duan, et al.. (2021). Intracranial delivery of synthetic mRNA to suppress glioblastoma. Molecular Therapy — Oncolytics. 24. 160–170. 23 indexed citations
3.
Peng, Hao, Meifang Wang, Ying Liu, et al.. (2020). Isoliquiritigenin inhibits TGF-<roman>β</roman>1-induced fibrogenesis through activating autophagy via PI3K/AKT/mTOR pathway in MRC-5 cells. Acta Biochimica et Biophysica Sinica. 52(8). 810–820. 40 indexed citations
4.
Zhang, Zongli, Haiqing Wu, Long‐Jun Dai, et al.. (2020). ANGPTL8 enhances insulin sensitivity by directly activating insulin-mediated AKT phosphorylation. Gene. 749. 144707–144707. 23 indexed citations
5.
Tang, Xiangjun, Pengfei Xu, Ann Chen, et al.. (2020). Prognostic and Predictive Value of an Immunoscore Signature in Glioblastoma Multiform. Frontiers in Genetics. 11. 514363–514363. 7 indexed citations
6.
Ma, Shinan, Mengjie Yang, Wenhui Zhou, et al.. (2020). An Efficient and Footprint-Free Protocol for the Transdifferentiation of Hepatocytes Into Insulin-Producing Cells With IVT mRNAs. Frontiers in Genetics. 11. 575–575. 4 indexed citations
7.
Tang, Xiangjun, Shenqi Zhang, Rui Fu, et al.. (2019). Therapeutic Prospects of mRNA-Based Gene Therapy for Glioblastoma. Frontiers in Oncology. 9. 1208–1208. 54 indexed citations
8.
Tang, Xiangjun, Pengfei Xu, Bin Wang, et al.. (2019). Identification of a Specific Gene Module for Predicting Prognosis in Glioblastoma Patients. Frontiers in Oncology. 9. 812–812. 19 indexed citations
9.
Sun, Xuyong, Ke Qin, Haibin Li, et al.. (2016). Single-center study on transplantation of livers donated after cardiac death: A report of 6 cases. Experimental and Therapeutic Medicine. 11(3). 988–992. 4 indexed citations
10.
Tang, Xiangjun, Gang Cao, Jie Luo, et al.. (2016). Protective effect of microRNA-138 against cerebral ischemia/reperfusion injury in rats. Experimental and Therapeutic Medicine. 11(3). 1045–1050. 31 indexed citations
11.
Luo, Jie, Xingrong Guo, Xiangjun Tang, et al.. (2013). Intravital biobank and personalized cancer therapy: The correlation with omics. International Journal of Cancer. 135(7). 1511–1516. 14 indexed citations
12.
Sun, Xuyong, et al.. (2011). MSC(TRAIL)-mediated HepG2 cell death in direct and indirect co-cultures.. PubMed. 31(11). 3705–12. 30 indexed citations
13.
Schubert‐Bast, Susanne, Joanna Trojanek, Zhe Zhou, et al.. (2009). Airways surface liquid depletion causes MMP-12 dependent emphysema in βENaC-overexpressing mice. Journal of Cystic Fibrosis. 8. S53–S53. 4 indexed citations
14.
Yuan, Chunhua, et al.. (2007). Jingzhaotoxin-XII, a gating modifier specific for Kv4.1 channels. Toxicon. 50(5). 646–652. 17 indexed citations
15.
Zhang, Kun, Shouxian Wang, Peicheng Cao, et al.. (2006). Cytogenetic analysis of human bone marrow‐derived mesenchymal stem cells passaged in vitro. Cell Biology International. 31(6). 645–648. 63 indexed citations
16.
Kang, Hyung Sub, Dirk Kerstan, Long‐Jun Dai, Gordon Ritchie, & Gary A. Quamme. (2001). Adenosine modulates Mg2+uptake in distal convoluted tubule cells via A1and A2purinoceptors. American Journal of Physiology-Renal Physiology. 281(6). F1141–F1147. 15 indexed citations
17.
Dai, Long‐Jun, Gordon Ritchie, Dirk Kerstan, et al.. (2001). Magnesium Transport in the Renal Distal Convoluted Tubule. Physiological Reviews. 81(1). 51–84. 222 indexed citations
18.
Dai, Long‐Jun, Gordon Ritchie, Frank R. Jirik, et al.. (1998). Extracellular Mg2+- and Ca2+-sensing in mouse distal convoluted tubule cells. Kidney International. 53(3). 583–592. 53 indexed citations
19.
Dai, Long‐Jun, Peter A. Friedman, & Gary A. Quamme. (1997). Cellular mechanisms of chlorothiazide and cellular potassium depletion on Mg2+ uptake in mouse distal convoluted tubule cells. Kidney International. 51(4). 1008–1017. 52 indexed citations
20.
Dai, Long‐Jun & Gary A. Quamme. (1993). Atrial natriuretic peptide initiates Ca2+ transients in isolated renal cortical thick ascending limb cells. American Journal of Physiology-Renal Physiology. 265(4). F592–F597. 14 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026