Derek L. Dai

1.5k total citations
18 papers, 1.0k citations indexed

About

Derek L. Dai is a scholar working on Genetics, Molecular Biology and Surgery. According to data from OpenAlex, Derek L. Dai has authored 18 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Genetics, 8 papers in Molecular Biology and 7 papers in Surgery. Recurrent topics in Derek L. Dai's work include Diabetes and associated disorders (8 papers), Pancreatic function and diabetes (7 papers) and Immune Cell Function and Interaction (4 papers). Derek L. Dai is often cited by papers focused on Diabetes and associated disorders (8 papers), Pancreatic function and diabetes (7 papers) and Immune Cell Function and Interaction (4 papers). Derek L. Dai collaborates with scholars based in Canada, Netherlands and China. Derek L. Dai's co-authors include Magdalena Martinka, Gang Li, Gang Li, C. Bruce Verchere, Galina Soukhatcheva, Youwen Zhou, Alison M. Karst, Clara Westwell‐Roper, Yemin Wang and Jan A. Ehses and has published in prestigious journals such as Journal of Clinical Investigation, Journal of Clinical Oncology and The Journal of Immunology.

In The Last Decade

Derek L. Dai

17 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Derek L. Dai Canada 14 629 292 205 179 158 18 1.0k
Yu Zheng China 22 697 1.1× 278 1.0× 72 0.4× 161 0.9× 112 0.7× 48 1.2k
Tone Sandal Norway 13 488 0.8× 430 1.5× 174 0.8× 410 2.3× 74 0.5× 16 1.1k
Eva Crosas‐Molist Spain 16 625 1.0× 293 1.0× 91 0.4× 216 1.2× 72 0.5× 22 1.2k
Marco Arndt Germany 16 600 1.0× 607 2.1× 100 0.5× 120 0.7× 58 0.4× 37 1.7k
Charlotte E. Edling United Kingdom 14 606 1.0× 273 0.9× 141 0.7× 136 0.8× 71 0.4× 32 1.0k
Masamitsu Onda Japan 21 730 1.2× 341 1.2× 69 0.3× 118 0.7× 136 0.9× 43 1.2k
Claudio Raimondi United Kingdom 18 841 1.3× 233 0.8× 91 0.4× 106 0.6× 57 0.4× 27 1.2k
Jenean O’Brien United States 13 356 0.6× 590 2.0× 72 0.4× 241 1.3× 127 0.8× 15 1.1k
Katsuhide Yoshidome Japan 16 610 1.0× 580 2.0× 102 0.5× 126 0.7× 160 1.0× 61 1.3k
Scott Wise United States 17 660 1.0× 293 1.0× 55 0.3× 195 1.1× 157 1.0× 43 1.2k

Countries citing papers authored by Derek L. Dai

Since Specialization
Citations

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

Fields of papers citing papers by Derek L. Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Derek L. Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Derek L. Dai. A scholar is included among the top collaborators of Derek L. 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 Derek L. Dai. Derek L. Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Monteiro, Lauar de Brito, Galina Soukhatcheva, Derek L. Dai, et al.. (2025). Assessment of protein synthesis rate enables metabolic profiling of resident-immune cells of the islets of Langerhans. Frontiers in Immunology. 16. 1662986–1662986.
2.
Sasaki, Shugo, Manjurul Haque, Vivian Fung, et al.. (2025). CCL22-expressing Stem Cell–derived Islet Grafts Recruit Regulatory T Cells in Mice. Transplantation. 110(1). e116–e128. 1 indexed citations
3.
Ramzy, Adam, Eva Tudurí, Maria M. Glavas, et al.. (2020). AAV8 Ins1-Cre can produce efficient β-cell recombination but requires consideration of off-target effects. Scientific Reports. 10(1). 10518–10518. 14 indexed citations
4.
Obach, Mercè, Azadeh Hosseini‐Tabatabaei, Joel Montané, et al.. (2018). Prevention of autoimmune diabetes and islet allograft rejection by beta cell expression of XIAP: Insight into possible mechanisms of local immunomodulation. Molecular and Cellular Endocrinology. 477. 48–56. 3 indexed citations
5.
Wang, Evan Y., Paul M. Yen, Derek L. Dai, et al.. (2016). Loss of prohormone convertase 2 promotes beta cell dysfunction in a rodent transplant model expressing human pro-islet amyloid polypeptide. Diabetologia. 60(3). 453–463. 16 indexed citations
6.
Montané, Joel, Mercè Obach, Derek L. Dai, et al.. (2015). CCL22 Prevents Rejection of Mouse Islet Allografts and Induces Donor-Specific Tolerance. Cell Transplantation. 24(10). 2143–2154. 24 indexed citations
7.
Dai, Derek L., et al.. (2015). Cellular Mechanisms of CCL22-Mediated Attenuation of Autoimmune Diabetes. The Journal of Immunology. 194(7). 3054–3064. 23 indexed citations
8.
Montané, Joel, Galina Soukhatcheva, Derek L. Dai, et al.. (2011). Prevention of murine autoimmune diabetes by CCL22-mediated Treg recruitment to the pancreatic islets. Journal of Clinical Investigation. 121(8). 3024–3028. 85 indexed citations
9.
Westwell‐Roper, Clara, Derek L. Dai, Galina Soukhatcheva, et al.. (2011). IL-1 Blockade Attenuates Islet Amyloid Polypeptide-Induced Proinflammatory Cytokine Release and Pancreatic Islet Graft Dysfunction. The Journal of Immunology. 187(5). 2755–2765. 160 indexed citations
10.
Dai, Derek L., Yemin Wang, Min Liu, Magdalena Martinka, & Gang Li. (2007). Bim Expression Is Reduced in Human Cutaneous Melanomas. Journal of Investigative Dermatology. 128(2). 403–407. 38 indexed citations
11.
Wang, Yemin, Derek L. Dai, Magdalena Martinka, & Gang Li. (2007). Prognostic Significance of Nuclear ING3 Expression in Human Cutaneous Melanoma. Clinical Cancer Research. 13(14). 4111–4116. 63 indexed citations
12.
Gao, Kai, Derek L. Dai, Magdalena Martinka, & Gang Li. (2006). Prognostic Significance of Nuclear Factor-κB p105/p50 in Human Melanoma and Its Role in Cell Migration. Cancer Research. 66(17). 8382–8388. 35 indexed citations
13.
Tang, Liren, Derek L. Dai, Mingwan Su, et al.. (2006). Aberrant Expression of Collagen Triple Helix Repeat Containing 1 in Human Solid Cancers. Clinical Cancer Research. 12(12). 3716–3722. 130 indexed citations
14.
Karst, Alison M., Derek L. Dai, Jin Q. Cheng, & Gang Li. (2006). Role of p53 Up-regulated Modulator of Apoptosis and Phosphorylated Akt in Melanoma Cell Growth, Apoptosis, and Patient Survival. Cancer Research. 66(18). 9221–9226. 33 indexed citations
15.
Zhou, Youwen, Derek L. Dai, Magdalena Martinka, et al.. (2005). Osteopontin Expression Correlates with Melanoma Invasion. Journal of Investigative Dermatology. 124(5). 1044–1052. 4 indexed citations
16.
Dai, Derek L., Magdalena Martinka, & Gang Li. (2005). Prognostic Significance of Activated Akt Expression in Melanoma: A Clinicopathologic Study of 292 Cases. Journal of Clinical Oncology. 23(7). 1473–1482. 246 indexed citations
17.
Karst, Alison M., Derek L. Dai, Magdalena Martinka, & Gang Li. (2004). PUMA expression is significantly reduced in human cutaneous melanomas. Oncogene. 24(6). 1111–1116. 69 indexed citations
18.
Dai, Derek L., Nikita Makretsov, Eric I. Campos, et al.. (2003). Increased expression of integrin-linked kinase is correlated with melanoma progression and poor patient survival.. PubMed. 9(12). 4409–14. 103 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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