Phillip Shaw

2.7k total citations · 1 hit paper
24 papers, 2.3k citations indexed

About

Phillip Shaw is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Phillip Shaw has authored 24 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 9 papers in Oncology and 4 papers in Genetics. Recurrent topics in Phillip Shaw's work include Cancer-related Molecular Pathways (7 papers), Epigenetics and DNA Methylation (6 papers) and RNA modifications and cancer (4 papers). Phillip Shaw is often cited by papers focused on Cancer-related Molecular Pathways (7 papers), Epigenetics and DNA Methylation (6 papers) and RNA modifications and cancer (4 papers). Phillip Shaw collaborates with scholars based in Switzerland, United States and United Kingdom. Phillip Shaw's co-authors include Petar Jelinic, Sébastien Tardy, Bernard Sordat, Roland Sahli, Judite Costa, R Bovey, Nicholas D. Hastie, William A. Held, Robert E. Hill and Pascal Chaubert and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Phillip Shaw

24 papers receiving 2.2k citations

Hit Papers

Induction of apoptosis by wild-type p53 in a human colon ... 1992 2026 2003 2014 1992 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Phillip Shaw Switzerland 19 1.5k 849 373 338 235 24 2.3k
Chamelli Jhappan United States 18 1.7k 1.2× 1.1k 1.3× 493 1.3× 316 0.9× 134 0.6× 21 2.6k
Shoshana Segal United States 19 1.5k 1.0× 794 0.9× 330 0.9× 216 0.6× 118 0.5× 40 2.1k
Hiroyuki Nishimori Japan 20 1.7k 1.1× 993 1.2× 246 0.7× 339 1.0× 260 1.1× 47 2.6k
Angelika K. Teresky United States 11 1.4k 0.9× 1.1k 1.3× 172 0.5× 441 1.3× 235 1.0× 13 2.0k
Toshiki Mori Japan 16 1.6k 1.1× 868 1.0× 246 0.7× 301 0.9× 207 0.9× 24 2.4k
Elisa A. Spillare United States 22 1.7k 1.2× 1.0k 1.2× 146 0.4× 638 1.9× 170 0.7× 28 2.5k
M.L. Hooper United Kingdom 20 2.9k 2.0× 1.7k 2.0× 513 1.4× 417 1.2× 467 2.0× 43 3.9k
Elisheva Yonish-Rouach France 12 1.9k 1.3× 1.7k 2.0× 230 0.6× 417 1.2× 502 2.1× 20 2.7k
Mark A. Subler United States 32 2.0k 1.4× 1.5k 1.7× 268 0.7× 412 1.2× 268 1.1× 65 3.0k
Barbara A. Osborne United States 6 2.1k 1.4× 1.7k 2.0× 189 0.5× 469 1.4× 474 2.0× 8 3.0k

Countries citing papers authored by Phillip Shaw

Since Specialization
Citations

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

Fields of papers citing papers by Phillip Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Phillip Shaw

This figure shows the co-authorship network connecting the top 25 collaborators of Phillip Shaw. A scholar is included among the top collaborators of Phillip Shaw 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 Phillip Shaw. Phillip Shaw 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.
Bernier‐Latmani, Jeremiah, Alessandra Baumer, & Phillip Shaw. (2009). No Evidence for Mutations of CTCFL/BORIS in Silver-Russell Syndrome Patients with IGF2/H19 Imprinting Control Region 1 Hypomethylation. PLoS ONE. 4(8). e6631–e6631. 4 indexed citations
2.
Martin, Valérie, Helle F. Jørgensen, Jennifer Berger, et al.. (2008). MBD2-Mediated Transcriptional Repression of the <i>p14</i><sup>ARF</sup> Tumor Suppressor Gene in Human Colon Cancer Cells. Pathobiology. 75(5). 281–287. 22 indexed citations
3.
Jelinic, Petar & Phillip Shaw. (2006). Loss of imprinting and cancer. The Journal of Pathology. 211(3). 261–268. 170 indexed citations
4.
Jelinic, Petar, et al.. (2006). The Testis-Specific Factor CTCFL Cooperates with the Protein Methyltransferase PRMT7 in H19 Imprinting Control Region Methylation. PLoS Biology. 4(11). e355–e355. 155 indexed citations
5.
Kaufmann, Jocelyne E., Stanislav Fakan, Cláudia Cavadas, et al.. (2005). Neuropeptide Y expression, localization and cellular transducing effects in HUVEC. Biology of the Cell. 97(6). 457–467. 26 indexed citations
6.
Shaw, Phillip, Michimasa Nozaki, Sophie Godard, et al.. (2002). Anoxia induces macrophage inhibitory cytokine-1 (MIC-1) in glioblastoma cells independently of p53 and HIF-1. Oncogene. 21(27). 4212–4219. 147 indexed citations
7.
Vozzi, Cristina, Andrea Formenton, A. Chanson, et al.. (2001). Involvement of connexin 43 in meiotic maturation of bovine oocytes. Reproduction. 122(4). 619–628. 73 indexed citations
8.
Burri, Nathalie, Phillip Shaw, Hanifa Bouzourène, et al.. (2001). Methylation Silencing and Mutations of the p14ARF and p16INK4a Genes in Colon Cancer. Laboratory Investigation. 81(2). 217–229. 147 indexed citations
9.
Kostic, Corinne & Phillip Shaw. (2000). Isolation and characterization of sixteen novel p53 response genes. Oncogene. 19(35). 3978–3987. 35 indexed citations
10.
Cousin, Pascal, et al.. (2000). Physical Map of 17p13 and the Genes Adjacent to p53. Genomics. 63(1). 60–68. 15 indexed citations
11.
Chaubert, Pascal, L Guillou, Anne-Marie Kurt, et al.. (1998). Frequent p161NK4 (MTS1) Gene Inactivation in Testicular Germ Cell Tumors. The Journal of Urology. 159(6). 2240–2240. 4 indexed citations
12.
Chaubert, Pascal, R. A. Gayer, A. Zimmermann, et al.. (1997). Germ-line mutations of the p16 INK4( MTS1 ) gene occur in a subset of patients with hepatocellular carcinoma. Hepatology. 25(6). 1376–1381. 58 indexed citations
13.
Shaw, Phillip. (1996). The Role of p53 in Cell Cycle Regulation. Pathology - Research and Practice. 192(7). 669–675. 109 indexed citations
14.
Shaw, Phillip & Ueli Schibler. (1986). Structure and expression of the parotid secretory protein gene of mouse. Journal of Molecular Biology. 192(3). 567–576. 30 indexed citations
15.
Shaw, Phillip, Bernard Sordat, & Ueli Schibler. (1986). Developmental coordination of α-amylase and psp gene expression during mouse parotid gland differentiation is controlled posttranscriptionally. Cell. 47(1). 107–112. 31 indexed citations
16.
Hill, Robert E., Phillip Shaw, Richard K. Barth, & Nicholas D. Hastie. (1985). A Genetic Locus Closely Linked to a Protease Inhibitor Gene Complex Controls the Level of Multiple RNA Transcripts. Molecular and Cellular Biology. 5(8). 2114–2122. 59 indexed citations
17.
Hill, Robert E., Phillip Shaw, Patricia A. Boyd, Heinz Baumann, & Nicholas D. Hastie. (1984). Plasma protease inhibitors in mouse and man: divergence within the reactive centre regions. Nature. 311(5982). 175–177. 128 indexed citations
18.
Shaw, Phillip, William A. Held, & Nicholas D. Hastie. (1983). The gene family for major urinary proteins: Expression in several secretory tissues of the mouse. Cell. 32(3). 755–761. 162 indexed citations
19.
Martin, Terence E., Michael D. McMullen, & Phillip Shaw. (1979). Poly(A+)mRNA sequences in free mRNP and polysomes of mouse ascites cells. Molecular Biology Reports. 5(1-2). 87–90. 4 indexed citations
20.
McMullen, Michael D., Phillip Shaw, & Terence E. Martin. (1979). Characterization of poly(A+)RNA in free messenger ribonucleoprotein and polysomes of mouse Taper ascites cells. Journal of Molecular Biology. 132(4). 679–694. 36 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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