Edwin Lee‐Chan

681 total citations
24 papers, 556 citations indexed

About

Edwin Lee‐Chan is a scholar working on Genetics, Immunology and Surgery. According to data from OpenAlex, Edwin Lee‐Chan has authored 24 papers receiving a total of 556 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Genetics, 16 papers in Immunology and 5 papers in Surgery. Recurrent topics in Edwin Lee‐Chan's work include Diabetes and associated disorders (16 papers), T-cell and B-cell Immunology (9 papers) and Immune Cell Function and Interaction (9 papers). Edwin Lee‐Chan is often cited by papers focused on Diabetes and associated disorders (16 papers), T-cell and B-cell Immunology (9 papers) and Immune Cell Function and Interaction (9 papers). Edwin Lee‐Chan collaborates with scholars based in Canada, United States and Australia. Edwin Lee‐Chan's co-authors include Bhagirath Singh, Enayat Nikoopour, Stacey Bellemore, Mark A. Atkinson, J. Schwartz, Ezio Bonifacio, George S. Eisenbarth, David Serreze, Thomas W. H. Kay and Christian Sandrock and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and Diabetes.

In The Last Decade

Edwin Lee‐Chan

24 papers receiving 543 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Edwin Lee‐Chan Canada 13 301 293 198 136 96 24 556
Núria Somoza Spain 12 520 1.7× 325 1.1× 398 2.0× 253 1.9× 102 1.1× 20 774
Jennifer Masters United Kingdom 2 336 1.1× 206 0.7× 183 0.9× 161 1.2× 49 0.5× 2 462
Maria Luisa Manca Bitti Italy 15 337 1.1× 177 0.6× 206 1.0× 297 2.2× 207 2.2× 28 681
R. Behboo United States 8 185 0.6× 147 0.5× 201 1.0× 80 0.6× 55 0.6× 26 424
Toshiyuki Takaki United States 11 556 1.8× 460 1.6× 335 1.7× 199 1.5× 61 0.6× 13 783
Sabrina Dionisi Italy 7 386 1.3× 194 0.7× 261 1.3× 177 1.3× 90 0.9× 8 545
Yunjuan Zhao China 10 172 0.6× 104 0.4× 177 0.9× 247 1.8× 140 1.5× 23 516
Xuan Geng Canada 4 137 0.5× 189 0.6× 86 0.4× 51 0.4× 146 1.5× 5 415
Johnna D. Wesley United States 11 149 0.5× 246 0.8× 112 0.6× 87 0.6× 62 0.6× 22 423
Antonella Stella Italy 5 114 0.4× 217 0.7× 71 0.4× 63 0.5× 212 2.2× 7 435

Countries citing papers authored by Edwin Lee‐Chan

Since Specialization
Citations

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

Fields of papers citing papers by Edwin Lee‐Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edwin Lee‐Chan. 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 Edwin Lee‐Chan. The network helps show where Edwin Lee‐Chan may publish in the future.

Co-authorship network of co-authors of Edwin Lee‐Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Edwin Lee‐Chan. A scholar is included among the top collaborators of Edwin Lee‐Chan 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 Edwin Lee‐Chan. Edwin Lee‐Chan 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.
Singh, Bhagirath, et al.. (2017). Role of TGF-β in Self-Peptide Regulation of Autoimmunity. Archivum Immunologiae et Therapiae Experimentalis. 66(1). 11–19. 9 indexed citations
2.
Nikoopour, Enayat, et al.. (2014). Reduced interferon-α production by dendritic cells in type 1 diabetes does not impair immunity to influenza virus. Clinical & Experimental Immunology. 179(2). 245–255. 7 indexed citations
3.
Nikoopour, Enayat, et al.. (2014). Vasostatin‐1 antigenic epitope mapping for induction of cellular and humoral immune responses to chromogranin A autoantigen in NOD mice. European Journal of Immunology. 44(4). 1170–1180. 8 indexed citations
4.
Hill, Thomas G., Enayat Nikoopour, Stacey Bellemore, et al.. (2013). The involvement of interleukin-22 in the expression of pancreatic beta cell regenerative Reg genes. SHILAP Revista de lepidopterología. 2(1). 2:2–2:2. 43 indexed citations
5.
Nikoopour, Enayat, Christian Sandrock, Edwin Lee‐Chan, et al.. (2011). Cutting Edge: Vasostatin-1–Derived Peptide ChgA29–42 Is an Antigenic Epitope of Diabetogenic BDC2.5 T Cells in Nonobese Diabetic Mice. The Journal of Immunology. 186(7). 3831–3835. 38 indexed citations
6.
Nikoopour, Enayat, et al.. (2010). Th17 Polarized Cells from Nonobese Diabetic Mice Following Mycobacterial Adjuvant Immunotherapy Delay Type 1 Diabetes. The Journal of Immunology. 184(9). 4779–4788. 67 indexed citations
7.
Wright, Benjamin, Christina Keller, Enayat Nikoopour, et al.. (2010). Adjuvant Immunotherapy Increases β Cell Regenerative Factor Reg2 in the Pancreas of Diabetic Mice. The Journal of Immunology. 185(9). 5120–5129. 34 indexed citations
8.
Nikoopour, Enayat, Matilde Leon‐Ponte, Thu Chau, et al.. (2008). Dendritic Cell Differentiation Induced by a Self-Peptide Derived from Apolipoprotein E. The Journal of Immunology. 181(10). 6859–6871. 14 indexed citations
9.
Mukherjee, Rinee, et al.. (2008). Exogenous CLIP localizes into endocytic compartment of cells upon internalization: Implications for antigen presentation by MHC class II molecules. Molecular Immunology. 45(8). 2166–2176. 4 indexed citations
10.
Nikoopour, Enayat, et al.. (2007). Plasmacytoid Dendritic Cells Induction by a Self-peptide Ep1.B Derived from Apolipoprotein E Prevent Autoimmune Diabetes. Clinical Immunology. 123. S18–S18. 1 indexed citations
11.
12.
Bueno, Clara, KK Lee, Luan A. Chau, et al.. (2004). Mechanism of modulation of T cell responses by N‐palmitoylated peptides. European Journal of Immunology. 34(12). 3497–3507. 4 indexed citations
13.
Qin, Hui-Yu, et al.. (2003). Type 1 diabetes alters anti-hsp90 autoantibody isotype. Journal of Autoimmunity. 20(3). 237–245. 35 indexed citations
14.
Bonifacio, Ezio, Mark A. Atkinson, George S. Eisenbarth, et al.. (2002). International Workshop on Lessons from Animal Models for Human Type 1 Diabetes. Annals of the New York Academy of Sciences. 958(1). 1–2. 6 indexed citations
15.
Bonifacio, Ezio, Mark A. Atkinson, George S. Eisenbarth, et al.. (2001). International Workshop on Lessons From Animal Models for Human Type 1 Diabetes. Diabetes. 50(11). 2451–2458. 89 indexed citations
16.
Agrawal, Babita, et al.. (2000). A Self MHC Class II β-Chain Peptide Prevents Diabetes in Nonobese Diabetic Mice. The Journal of Immunology. 164(12). 6610–6620. 17 indexed citations
17.
Lee‐Chan, Edwin, et al.. (2000). The functional role of class II-associated invariant chain peptide (CLIP) in its ability to variably modulate immune responses. International Immunology. 12(6). 757–765. 23 indexed citations
18.
Qin, Hui-Yu, et al.. (1997). Modulation and Detection of IDDM by Membrane Associated Antigens from the Islet Beta Cell Line NIT-1. Journal of Autoimmunity. 10(1). 27–34. 5 indexed citations
19.
Chaturvedi, Pankaj, et al.. (1996). Modulation of antigen presentation and class II expression by a class II-associated invariant chain peptide. The Journal of Immunology. 156(11). 4232–4239. 15 indexed citations
20.

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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