Philip Twiss

1.4k total citations
10 papers, 309 citations indexed

About

Philip Twiss is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Philip Twiss has authored 10 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Pathology and Forensic Medicine and 2 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Philip Twiss's work include Genetic factors in colorectal cancer (3 papers), Cystic Fibrosis Research Advances (2 papers) and TGF-β signaling in diseases (2 papers). Philip Twiss is often cited by papers focused on Genetic factors in colorectal cancer (3 papers), Cystic Fibrosis Research Advances (2 papers) and TGF-β signaling in diseases (2 papers). Philip Twiss collaborates with scholars based in United Kingdom, Netherlands and Spain. Philip Twiss's co-authors include Melissa Hill, Lyn S. Chitty, Richard S. Houlston, Alan Pittman, Mobshra Qureshi, Peter Broderick, Jayaram Vijayakrishnan, Hans Morreau, José Luis Gómez-Skármeta and Silvia Naranjo and has published in prestigious journals such as Genome Research, Human Molecular Genetics and International Journal of Cancer.

In The Last Decade

Philip Twiss

9 papers receiving 303 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Philip Twiss United Kingdom	9	149	102	90	86	59	10	309
Javier del Rey Spain	10	103 0.7×	89 0.9×	96 1.1×	60 0.7×	61 1.0×	24	302
Siân Morgan United Kingdom	8	107 0.7×	13 0.1×	117 1.3×	82 1.0×	57 1.0×	16	304
Lee Silcock United Kingdom	8	103 0.7×	16 0.2×	67 0.7×	57 0.7×	28 0.5×	14	239
Charlotte Kvist Lautrup Denmark	9	84 0.6×	46 0.5×	100 1.1×	18 0.2×	31 0.5×	20	241
Junko Otsuka Japan	7	80 0.5×	33 0.3×	19 0.2×	103 1.2×	30 0.5×	7	341
Mutlu Kartal‐Kaess Germany	9	146 1.0×	22 0.2×	39 0.4×	28 0.3×	61 1.0×	20	312
Andrea Biloglav Sweden	10	103 0.7×	35 0.3×	33 0.4×	111 1.3×	45 0.8×	17	359
Gloria Leszinski Germany	8	192 1.3×	55 0.5×	34 0.4×	33 0.4×	73 1.2×	8	289
PG Waber United States	9	133 0.9×	33 0.3×	58 0.6×	56 0.7×	38 0.6×	13	373
Marcela Braga Mansur Brazil	12	134 0.9×	26 0.3×	22 0.2×	84 1.0×	66 1.1×	28	341

Countries citing papers authored by Philip Twiss

Since Specialization

Citations

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

Fields of papers citing papers by Philip Twiss

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip Twiss

This figure shows the co-authorship network connecting the top 25 collaborators of Philip Twiss. A scholar is included among the top collaborators of Philip Twiss 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 Philip Twiss. Philip Twiss 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

Pagnamenta, Alistair T., Jing Yu, Julie Evans, et al.. (2022). Conclusion of diagnostic odysseys due to inversions disrupting GLI3 and FBN1. Journal of Medical Genetics. 60(5). 505–510. 9 indexed citations

Hague, Jennifer, et al.. (2019). Clinical Diagnosis of Classical Cornelia de Lange Syndrome Made From Postmortem Examination of Second Trimester Fetus With Novel NIPBL Pathogenic Variant. Pediatric and Developmental Pathology. 22(5). 475–479. 9 indexed citations

Hill, Melissa, Philip Twiss, Talitha I. Verhoef, et al.. (2016). Noninvasive Prenatal Diagnosis for Cystic Fibrosis. Obstetrical & Gynecological Survey. 71(1). 13–15.

Hill, Melissa, Philip Twiss, Talitha I. Verhoef, et al.. (2015). Non‐invasive prenatal diagnosis for cystic fibrosis: detection of paternal mutations, exploration of patient preferences and cost analysis. Prenatal Diagnosis. 35(10). 950–958. 61 indexed citations

Twiss, Philip, Melissa Hill, Rebecca Daley, & Lyn S. Chitty. (2013). Non-invasive prenatal testing for Down syndrome. Seminars in Fetal and Neonatal Medicine. 19(1). 9–14. 32 indexed citations

Lubbe, Steven, Alan Pittman, Philip Twiss, et al.. (2010). Evaluation of germline BMP4 mutation as a cause of colorectal cancer. Human Mutation. 32(1). E1928–E1938. 27 indexed citations

Crowther-Swanepoel, Dalemari, Peter Broderick, Yussanne Ma, et al.. (2010). Fine-scale mapping of the 6p25.3 chronic lymphocytic leukaemia susceptibility locus. Human Molecular Genetics. 19(9). 1840–1845. 22 indexed citations

Pittman, Alan, Silvia Naranjo, Sanni E. Jalava, et al.. (2010). Allelic Variation at the 8q23.3 Colorectal Cancer Risk Locus Functions as a Cis-Acting Regulator of EIF3H. PLoS Genetics. 6(9). e1001126–e1001126. 57 indexed citations

Pittman, Alan, Silvia Naranjo, Emily L. Webb, et al.. (2009). The colorectal cancer risk at 18q21 is caused by a novel variant altering SMAD7 expression. Genome Research. 19(6). 987–993. 74 indexed citations

10.

Pittman, Alan, Philip Twiss, Peter Broderick, et al.. (2009). The CDH1‐160C>A polymorphism is a risk factor for colorectal cancer. International Journal of Cancer. 125(7). 1622–1625. 18 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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