P. L. Chan

409 total citations
10 papers, 244 citations indexed

About

P. L. Chan is a scholar working on Immunology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, P. L. Chan has authored 10 papers receiving a total of 244 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 3 papers in Molecular Biology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in P. L. Chan's work include Monoclonal and Polyclonal Antibodies Research (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Immune Response and Inflammation (2 papers). P. L. Chan is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Immune Response and Inflammation (2 papers). P. L. Chan collaborates with scholars based in Canada, United Kingdom and United States. P. L. Chan's co-authors include Nicholas R. StC. Sinclair, Nicholas R Sinclair, Rosemary K. Lees, Nica M. Borradaile, Debra L. Robson, Sharon Abrahams, C. R. Stiller, Donato A. Di Monte, Jaap M. Middeldorp and Eleizer Masliah and has published in prestigious journals such as Nature, The Journal of Immunology and Neurology.

In The Last Decade

P. L. Chan

10 papers receiving 217 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
P. L. Chan Canada	7	136	90	75	35	26	10	244
John F. Scavulli United States	8	187 1.4×	49 0.5×	95 1.3×	38 1.1×	18 0.7×	9	369
L Fráňa United States	4	253 1.9×	33 0.4×	54 0.7×	12 0.3×	13 0.5×	4	394
Kelli R. Ryan United States	11	223 1.6×	29 0.3×	113 1.5×	23 0.7×	11 0.4×	11	375
Mario Geysen Australia	9	163 1.2×	60 0.7×	70 0.9×	34 1.0×	10 0.4×	12	364
J. -P. Gerard France	6	252 1.9×	52 0.6×	62 0.8×	6 0.2×	27 1.0×	8	345
Anupama Gopisetty United States	6	192 1.4×	20 0.2×	69 0.9×	26 0.7×	8 0.3×	9	338
Ricardo D. Lardone Argentina	13	125 0.9×	78 0.9×	145 1.9×	14 0.4×	45 1.7×	24	352
Rudolf C. Kuppers United States	10	275 2.0×	67 0.7×	69 0.9×	22 0.6×	21 0.8×	14	380
J D Feldman United States	11	242 1.8×	48 0.5×	55 0.7×	44 1.3×	6 0.2×	15	375
Hideaki Tago Japan	6	258 1.9×	16 0.2×	49 0.7×	18 0.5×	13 0.5×	11	397

Countries citing papers authored by P. L. Chan

Since Specialization

Citations

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

Fields of papers citing papers by P. L. Chan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. L. Chan

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

All Works

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10 of 10 papers shown

Robson, Debra L., et al.. (2014). Niacin receptor activation improves human microvascular endothelial cell angiogenic function during lipotoxicity. Atherosclerosis. 237(2). 696–704. 29 indexed citations

Robson, Debra L., et al.. (2014). Abstract 228: Niacin Improves Human Microvascular Endothelial Cell Angiogenic Function Under Lipotoxic and Hypoxic Conditions. Arteriosclerosis Thrombosis and Vascular Biology. 34(suppl_1). 1 indexed citations

Woulfe, John, Richard C. Duke, Jaap M. Middeldorp, et al.. (2002). Absence of elevated anti–α-synuclein and anti-EBV latent membrane protein antibodies in PD. Neurology. 58(9). 1435–1435. 26 indexed citations

Sinclair, Nicholas R. StC., Rosemary K. Lees, & P. L. Chan. (1976). Interference with Antibody-Feedback by Irradiation, Thymus Cells, the Allogeneic Effect, and Serum Factors. PubMed. 66. 623–633. 9 indexed citations

Chan, P. L., et al.. (1975). Small bowel extracts in the inhibition of tumour growth.. Gut. 16(1). 50–52. 2 indexed citations

Sinclair, Nicholas R. StC., et al.. (1974). Regulation of the Immune Response. The Journal of Immunology. 113(5). 1493–1500. 22 indexed citations

Chan, P. L. & Nicholas R. StC. Sinclair. (1973). Immunosuppressive Factors Associated with Tumors. Advances in experimental medicine and biology. 29(0). 469–475. 2 indexed citations

Chan, P. L. & Nicholas R Sinclair. (1973). Regulation of the immune response. VI. Inability of F(ab') 2 antibody to terminate established immune responses and its ability to interfere with IgG antibody-mediated immunosuppression.. PubMed. 24(2). 289–301. 48 indexed citations

Sinclair, Nicholas R. StC. & P. L. Chan. (1971). Relationship between Antibody-mediated Immunosuppression and Tolerance Induction. Nature. 234(5324). 104–105. 18 indexed citations

10.

Chan, P. L. & Nicholas R. StC. Sinclair. (1971). Regulation of the immune response. V. An analysis of the function of the Fc portion of antibody in suppression of an immune response with respect to interaction with components of the lymphoid system.. PubMed. 21(6). 967–81. 87 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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