Paul Mak

2.9k total citations
58 papers, 2.3k citations indexed

About

Paul Mak is a scholar working on Genetics, Electrical and Electronic Engineering and Molecular Biology. According to data from OpenAlex, Paul Mak has authored 58 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Genetics, 15 papers in Electrical and Electronic Engineering and 14 papers in Molecular Biology. Recurrent topics in Paul Mak's work include Estrogen and related hormone effects (16 papers), Solid State Laser Technologies (10 papers) and Reproductive biology and impacts on aquatic species (9 papers). Paul Mak is often cited by papers focused on Estrogen and related hormone effects (16 papers), Solid State Laser Technologies (10 papers) and Reproductive biology and impacts on aquatic species (9 papers). Paul Mak collaborates with scholars based in United States, Canada and China. Paul Mak's co-authors include Gloria V. Callard, Yuet‐Kin Leung, Shuk‐Mei Ho, Sazzad Hassan, Arthur M. Mercurio, Alfred P. DeFonzo, Chi Lee, Bryan Pursell, Z. Feit and R. J. Woods and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Paul Mak

58 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paul Mak United States 25 827 728 355 332 290 58 2.3k
K Murakami Japan 35 507 0.6× 2.8k 3.8× 133 0.4× 379 1.1× 80 0.3× 106 4.8k
Patrick J. Murphy United States 31 498 0.6× 2.6k 3.5× 102 0.3× 482 1.5× 57 0.2× 97 3.6k
Wolfgang Fischer United States 29 533 0.6× 3.5k 4.8× 42 0.1× 390 1.2× 133 0.5× 81 5.4k
R. Contreras Mexico 30 169 0.2× 1.8k 2.4× 83 0.2× 254 0.8× 50 0.2× 75 2.8k
Gerd A. Müller Germany 27 314 0.4× 1.3k 1.7× 234 0.7× 563 1.7× 13 0.0× 94 2.5k
A. G. de Oliveira Brazil 23 155 0.2× 502 0.7× 323 0.9× 64 0.2× 58 0.2× 114 2.0k
Jeffrey D. Saffer United States 21 333 0.4× 1.3k 1.7× 75 0.2× 212 0.6× 64 0.2× 35 2.1k
Shenggen Yao Australia 30 434 0.5× 1.5k 2.1× 93 0.3× 565 1.7× 25 0.1× 75 3.3k
Yoh Wada Japan 47 165 0.2× 5.1k 7.1× 97 0.3× 281 0.8× 391 1.3× 117 7.0k
Jun Wan United States 39 519 0.6× 2.7k 3.7× 294 0.8× 611 1.8× 36 0.1× 181 4.8k

Countries citing papers authored by Paul Mak

Since Specialization
Citations

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

Fields of papers citing papers by Paul Mak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul Mak. 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 Paul Mak. The network helps show where Paul Mak may publish in the future.

Co-authorship network of co-authors of Paul Mak

This figure shows the co-authorship network connecting the top 25 collaborators of Paul Mak. A scholar is included among the top collaborators of Paul Mak 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 Paul Mak. Paul Mak 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.
Mak, Paul, Jiarong Li, Sanjoy Samanta, et al.. (2015). Prostate Tumorigenesis Induced by PTEN Deletion Involves Estrogen Receptor β Repression. Cell Reports. 10(12). 1982–1991. 23 indexed citations
2.
Hamilton, Sarah, Paul Mak, Gwo Fuang Ho, Janessa Laskin, & Joanne Wu. (2013). Nasopharyngeal Carcinoma (NPC) in British Columbia (BC): A Population-Based Comparison of Asian and Non-Asian Patients. International Journal of Radiation Oncology*Biology*Physics. 87(2). S446–S446. 2 indexed citations
3.
Mak, Paul, Irwin Leav, Bryan Pursell, et al.. (2010). ERβ Impedes Prostate Cancer EMT by Destabilizing HIF-1α and Inhibiting VEGF-Mediated Snail Nuclear Localization: Implications for Gleason Grading. Cancer Cell. 17(6). 622–622. 3 indexed citations
4.
Mak, Paul, Irwin Leav, Bryan Pursell, et al.. (2010). ERβ Impedes Prostate Cancer EMT by Destabilizing HIF-1α and Inhibiting VEGF-Mediated Snail Nuclear Localization: Implications for Gleason Grading. Cancer Cell. 17(4). 319–332. 310 indexed citations
5.
Guévin, Carl, et al.. (2010). Autophagy protein ATG5 interacts transiently with the hepatitis C virus RNA polymerase (NS5B) early during infection. Virology. 405(1). 1–7. 133 indexed citations
6.
Mak, Paul, Meena Jaggi, Viqar Syed, et al.. (2008). Protein kinase D1 (PKD1) influences androgen receptor (AR) function in prostate cancer cells. Biochemical and Biophysical Research Communications. 373(4). 618–623. 27 indexed citations
7.
Syed, Viqar, Paul Mak, Cheng Du, & K.C. Balaji. (2007). β‐catenin mediates alteration in cell proliferation, motility and invasion of prostate cancer cells by differential expression of E‐cadherin and protein kinase D1. Journal of Cellular Biochemistry. 104(1). 82–95. 37 indexed citations
8.
Leung, Yuet‐Kin, Paul Mak, Sazzad Hassan, & Shuk‐Mei Ho. (2006). Estrogen receptor (ER)-β isoforms: A key to understanding ER-β signaling. Proceedings of the National Academy of Sciences. 103(35). 13162–13167. 299 indexed citations
9.
Mak, Paul, et al.. (2006). Apigenin Suppresses Cancer Cell Growth through ERβ. Neoplasia. 8(11). 896–904. 116 indexed citations
10.
Amin, Anthony A., Stéphane Olland, Mark Orlowski, et al.. (2003). Identification of constrained peptides that bind to and preferentially inhibit the activity of the hepatitis C viral RNA-dependent RNA polymerase. Virology. 313(1). 158–169. 9 indexed citations
11.
Labonté, Patrick, et al.. (2002). Modulation of Hepatitis C Virus RNA-dependent RNA Polymerase Activity by Structure-based Site-directed Mutagenesis. Journal of Biological Chemistry. 277(41). 38838–38846. 53 indexed citations
12.
Zhao, Jin, et al.. (2001). Different Catalytic Properties and Inhibitor Responses of the Goldfish Brain and Ovary Aromatase Isozymes. General and Comparative Endocrinology. 123(2). 180–191. 57 indexed citations
13.
Mak, Paul, et al.. (2001). Reconstitution of hepatitis C virus protease activities in yeast. FEBS Letters. 503(1). 13–18. 5 indexed citations
14.
Mak, Paul, et al.. (1999). A yeast screen system for aromatase inhibitors and ligands for androgen receptor: yeast cells transformed with aromatase and androgen receptor.. Environmental Health Perspectives. 107(11). 855–860. 21 indexed citations
15.
He, Zhiying, et al.. (1996). Differential Transcriptional Regulation of the Apoal Gene by Retinoic Acid Receptor Homo- and Heterodimers in Yeast. Nucleic Acids Research. 24(4). 566–572. 10 indexed citations
16.
Mak, Paul, Charles YF Young, & Donald J. Tindall. (1994). A Novel Yeast Expression System to Study Androgen Action. Elsevier eBooks. 49. 347–352. 15 indexed citations
17.
Feit, Z., et al.. (1991). Single-mode molecular beam epitaxy grown PbEuSeTe/PbTe buried-heterostructure diode lasers for CO2 high-resolution spectroscopy. Applied Physics Letters. 58(4). 343–345. 59 indexed citations
18.
Callard, Gloria V., et al.. (1989). Regulation of spermatogenesis: The shark testis model. Journal of Experimental Zoology. 252(S2). 23–34. 34 indexed citations
19.
Mak, Paul & Gloria V. Callard. (1987). A novel steroid-binding protein in the testis of the dogfish Squalus acanthias. General and Comparative Endocrinology. 68(1). 104–112. 22 indexed citations
20.
Mak, Paul, Shuk‐Mei Ho, & Ian P. Callard. (1982). Estrogen receptors in the turtle brain. Brain Research. 231(1). 63–74. 25 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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