S P Tam

916 total citations
20 papers, 801 citations indexed

About

S P Tam is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, S P Tam has authored 20 papers receiving a total of 801 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Cancer Research and 8 papers in Surgery. Recurrent topics in S P Tam's work include Cancer, Lipids, and Metabolism (8 papers), Cholesterol and Lipid Metabolism (6 papers) and Peroxisome Proliferator-Activated Receptors (4 papers). S P Tam is often cited by papers focused on Cancer, Lipids, and Metabolism (8 papers), Cholesterol and Lipid Metabolism (6 papers) and Peroxisome Proliferator-Activated Receptors (4 papers). S P Tam collaborates with scholars based in Canada and United States. S P Tam's co-authors include R G Deeley, Trevor Archer, Robert Kisilevsky, Robert J.G. Haché, W. C. Breckenridge, David F. Dexter, Bruce E. Elliott, Jennifer Hulme, Alana M. Flexman and Louise Brissette and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

S P Tam

20 papers receiving 778 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S P Tam Canada 16 383 290 202 162 157 20 801
Neelam Srivastava United States 11 307 0.8× 186 0.6× 171 0.8× 114 0.7× 79 0.5× 21 642
Shui‐Pang Tam Canada 15 361 0.9× 227 0.8× 106 0.5× 148 0.9× 67 0.4× 19 650
Alphonse Le Cam France 19 666 1.7× 218 0.8× 236 1.2× 113 0.7× 89 0.6× 35 1.3k
John A. Krawiec United States 9 469 1.2× 222 0.8× 323 1.6× 79 0.5× 88 0.6× 10 924
Laura Blinderman United States 6 418 1.1× 250 0.9× 273 1.4× 83 0.5× 125 0.8× 6 843
Anne-Lise Pichard France 17 649 1.7× 231 0.8× 98 0.5× 137 0.8× 73 0.5× 26 915
Fereshteh Parviz United States 7 611 1.6× 389 1.3× 121 0.6× 208 1.3× 90 0.6× 7 1.2k
Tatsuya Ogishima Japan 18 860 2.2× 250 0.9× 409 2.0× 207 1.3× 172 1.1× 31 1.5k
Ayce Yesilaltay United States 18 503 1.3× 409 1.4× 95 0.5× 67 0.4× 130 0.8× 20 1.0k
Vincenzo Pierotti United States 15 729 1.9× 437 1.5× 340 1.7× 161 1.0× 197 1.3× 15 1.4k

Countries citing papers authored by S P Tam

Since Specialization
Citations

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

Fields of papers citing papers by S P Tam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S P Tam

This figure shows the co-authorship network connecting the top 25 collaborators of S P Tam. A scholar is included among the top collaborators of S P Tam 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 S P Tam. S P Tam 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.
Salazar, Christian R., Megan Witbracht, S P Tam, et al.. (2024). Alzheimer's Disease Biomarker Decision-Making among Patients with Mild Cognitive Impairment and Their Care Partners. The Journal of Prevention of Alzheimer s Disease. 11(2). 285–293. 4 indexed citations
2.
Tam, S P, et al.. (2005). Peptides derived from serum amyloid A prevent, and reverse, aortic lipid lesions in apoE−/− mice. Journal of Lipid Research. 46(10). 2091–2101. 32 indexed citations
3.
Kisilevsky, Robert & S P Tam. (2003). Macrophage cholesterol efflux and the active domains of serum amyloid A 2.1. Journal of Lipid Research. 44(12). 2257–2269. 37 indexed citations
4.
Tam, S P, Alana M. Flexman, Jennifer Hulme, & Robert Kisilevsky. (2002). Promoting export of macrophage cholesterol. Journal of Lipid Research. 43(9). 1410–1420. 69 indexed citations
5.
Tam, S P, Xia Zhang, C. Cuthbert, Zhiwei Wang, & Thomas M. Ellis. (1997). Effects of dimethyl sulfoxide on apolipoprotein A-I in the human hepatoma cell line, HepG2. Journal of Lipid Research. 38(10). 2090–2102. 21 indexed citations
6.
Tam, S P, et al.. (1996). Interaction of a recombinant form of apolipoprotein[a] with human fibroblasts and with the human hepatoma cell line HepG2. Journal of Lipid Research. 37(3). 518–533. 38 indexed citations
7.
Elliott, Bruce E., et al.. (1992). Capacity of adipose tissue to promote growth and metastasis of a murine mammary carcinoma: Effect of estrogen and progesterone. International Journal of Cancer. 51(3). 416–424. 74 indexed citations
8.
9.
10.
Tam, S P, Stephen A. Strugnell, R G Deeley, & Glenville Jones. (1988). 25-Hydroxylation of vitamin D3 in the human hepatoma cell lines Hep G2 and Hep 3B.. Journal of Lipid Research. 29(12). 1637–1642. 17 indexed citations
11.
Tam, S P & W. C. Breckenridge. (1987). The interaction of lipolysis products of very low density lipoprotein with plasma high density lipoprotein (HDL): perfusate HDL with plasma HDL subfractions. Biochemistry and Cell Biology. 65(3). 252–260. 3 indexed citations
12.
Haché, Robert J.G., S P Tam, Alan Cochrane, Michael E. Nesheim, & R G Deeley. (1987). Long-term effects of estrogen on avian liver: estrogen-inducible switch in expression of nuclear, hormone-binding proteins.. Molecular and Cellular Biology. 7(10). 3538–3547. 24 indexed citations
13.
Tam, S P, Trevor Archer, & R G Deeley. (1986). Biphasic effects of estrogen on apolipoprotein synthesis in human hepatoma cells: mechanism of antagonism by testosterone.. Proceedings of the National Academy of Sciences. 83(10). 3111–3115. 62 indexed citations
14.
Archer, Trevor, S P Tam, & R G Deeley. (1986). Kinetics of estrogen-dependent modulation of apolipoprotein A-I synthesis in human hepatoma cells.. Journal of Biological Chemistry. 261(11). 5067–5074. 49 indexed citations
15.
Tam, S P, Robert J.G. Haché, & R G Deeley. (1986). Estrogen Memory Effect in Human Hepatocytes During Repeated Cell Division Without Hormone. Science. 234(4781). 1234–1237. 56 indexed citations
16.
Archer, Trevor, et al.. (1985). Apolipoprotein C-II mRNA levels in primate liver. Induction by estrogen in the human hepatocarcinoma cell line, HepG2.. Journal of Biological Chemistry. 260(3). 1676–1681. 52 indexed citations
17.
Tam, S P, Trevor Archer, & R G Deeley. (1985). Effects of estrogen on apolipoprotein secretion by the human hepatocarcinoma cell line, HepG2.. Journal of Biological Chemistry. 260(3). 1670–1675. 124 indexed citations
18.
Tam, S P & W. C. Breckenridge. (1984). Retention of apolipoprotein B and cholesterol by perfused heart during lipolysis of very-low-density lipoprotein. Biochimica et Biophysica Acta (BBA) - Lipids and Lipid Metabolism. 793(1). 61–71. 3 indexed citations
19.
Tam, S P & W. C. Breckenridge. (1983). Apolipoprotein and lipid distribution between vesicles and HDL-like particles formed during lipolysis of human very low density lipoproteins by perfused rat heart.. Journal of Lipid Research. 24(10). 1343–1357. 35 indexed citations
20.
Tam, S P, Ladislav Dory, & David Rubinstein. (1981). Fate of apolipoproteins C-1, C-iii, and E during lipolysis of human very low density lipoproteins in vitro.. Journal of Lipid Research. 22(4). 641–651. 33 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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