Susan Pfeifer

1.3k total citations · 1 hit paper
22 papers, 660 citations indexed

About

Susan Pfeifer is a scholar working on Molecular Biology, Genetics and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Susan Pfeifer has authored 22 papers receiving a total of 660 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 9 papers in Genetics and 8 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Susan Pfeifer's work include Epigenetics and DNA Methylation (7 papers), Genetic Syndromes and Imprinting (6 papers) and Prenatal Screening and Diagnostics (6 papers). Susan Pfeifer is often cited by papers focused on Epigenetics and DNA Methylation (7 papers), Genetic Syndromes and Imprinting (6 papers) and Prenatal Screening and Diagnostics (6 papers). Susan Pfeifer collaborates with scholars based in Sweden, Finland and United States. Susan Pfeifer's co-authors include J. Michael Bishop, Kari Alitalo, Wendy W. Colby, Arthur D. Levinson, Gary Ramsay, Rolf Ohlsson, Gail Adam, Kristian Svensson, Xiaobing He and Yiming Li and has published in prestigious journals such as Nature, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Susan Pfeifer

21 papers receiving 611 citations

Hit Papers

Identification of nuclear proteins encoded by viral and c... 1983 2026 1997 2011 1983 50 100 150 200

Peers

Susan Pfeifer
René Hubert United States
J Asakawa Japan
Nathan D. Montgomery United States
Chen‐Feng Qi United States
Regina Sohn United States
I. White United Kingdom
Susan Pfeifer
Citations per year, relative to Susan Pfeifer Susan Pfeifer (= 1×) peers Wenjuan Zhang

Countries citing papers authored by Susan Pfeifer

Since Specialization
Citations

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

Fields of papers citing papers by Susan Pfeifer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susan Pfeifer

This figure shows the co-authorship network connecting the top 25 collaborators of Susan Pfeifer. A scholar is included among the top collaborators of Susan Pfeifer 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 Susan Pfeifer. Susan Pfeifer 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.
Libard, Sylwia, Svetlana N. Popova, Rose‐Marie Amini, et al.. (2014). Human Cytomegalovirus Tegument Protein pp65 Is Detected in All Intra- and Extra-Axial Brain Tumours Independent of the Tumour Type or Grade. PLoS ONE. 9(9). e108861–e108861. 41 indexed citations
2.
Nord, Helena, Susan Pfeifer, Pelle Nilsson, et al.. (2011). Novel amplifications in pediatric medulloblastoma identified by genome-wide copy number profiling. Journal of Neuro-Oncology. 107(1). 37–49. 2 indexed citations
3.
Sorsa, Marja & Susan Pfeifer. (2009). Puffing pattern of 0-hour prepupae of Drosophila melanogaster. Hereditas. 71(1). 119–129. 2 indexed citations
4.
Sorsa, Marja & Susan Pfeifer. (2009). Effects of cadmium on development time and prepupal puffing pattern of Drosophila melanogaster. Hereditas. 75(2). 273–277. 1 indexed citations
5.
Sorsa, Marja & Susan Pfeifer. (2009). Response of puffing pattern to in vivo treatments with organomercurials in Drosophila melanogaster. Hereditas. 74(1). 89–102. 4 indexed citations
6.
Lannering, Birgitta, Per‐Erik Sandström, Stefan Holm, et al.. (2009). Classification, incidence and survival analyses of children with CNS tumours diagnosed in Sweden 1984–2005. Acta Paediatrica. 98(10). 1620–1627. 91 indexed citations
7.
Nord, Helena, Christian Hartmann, Robin Andersson, et al.. (2009). Characterization of novel and complex genomic aberrations in glioblastoma using a 32K BAC array. Neuro-Oncology. 11(6). 803–818. 42 indexed citations
8.
Stålberg, Karin, B Haglund, Owe Axelsson, et al.. (2008). Prenatal ultrasound and the risk of childhood brain tumour and its subtypes. British Journal of Cancer. 98(7). 1285–1287. 11 indexed citations
9.
Stålberg, Karin, Bengt Haglund, Ove Axelssön, et al.. (2007). Prenatal X-ray exposure and childhood brain tumours: a population-based case–control study on tumour subtypes. British Journal of Cancer. 97(11). 1583–1587. 15 indexed citations
10.
Benetkiewicz, Magdalena, Teresita Díaz de Ståhl, Susan Pfeifer, et al.. (2006). Identification of limited regions of genetic aberrations in patients affected with Wilms' tumor using a tiling‐path chromosome 22 array. International Journal of Cancer. 119(3). 571–578. 9 indexed citations
11.
Ohlsson, Rolf, Chandrasekhar Kanduri, Joanne Whitehead, et al.. (2003). Epigenetic variability and the evolution of human cancer. Advances in cancer research. 88. 145–168. 27 indexed citations
12.
Holmgren, Claes, Vinod Pant, Chandrasekhar Kanduri, et al.. (2003). The direct bypass of the chromatin insulator function of the H19 imprinting control region in human cancer cells : A novel mechanism of loss of IGF2 Imprinting.
13.
Flam, F, Rosemary A. Fisher, Stephen C. Miller, et al.. (1999). Random monoallelic expression of the imprinted IGF2 and H19 genes in the absence of discriminative parental marks. Development Genes and Evolution. 209(2). 113–119. 11 indexed citations
14.
Lin, Weili, Xiaobing He, Kristian Svensson, et al.. (1999). The genotype and epigenotype synergize to diversify the spatial pattern of expression of the imprinted H19 gene. Mechanisms of Development. 82(1-2). 195–197. 10 indexed citations
15.
Cui, Hengmi, et al.. (1999). Mosaic allelic insulin-like growth factor 2 expression patterns reveal a link between Wilms' tumorigenesis and epigenetic heterogeneity.. PubMed. 59(16). 3889–92. 26 indexed citations
16.
Li, Yiming, Hengmi Cui, Kristian Svensson, et al.. (1998). The H19 Transcript Is Associated with Polysomes and May Regulate IGF2 Expression in trans. Journal of Biological Chemistry. 273(43). 28247–28252. 97 indexed citations
17.
Pfeifer, Susan, Jan Zabielski, Rolf Ohlsson, et al.. (1983). Avian acute leukemia virus OK 10: analysis of its myc oncogene by molecular cloning. Journal of Virology. 46(2). 347–354. 11 indexed citations
18.
Alitalo, Kari, Gary Ramsay, J. Michael Bishop, et al.. (1983). Identification of nuclear proteins encoded by viral and cellular myc oncogenes. Nature. 306(5940). 274–277. 207 indexed citations breakdown →
19.
Pfeifer, Susan, Ralf F. Pettersson, A. Kallio, N Oker-Blom, & Antti Vaheri. (1981). Avian Acute Leukemia Virus OK10 Has an 8.2-Kilobase Genome and Modified Glycoprotein gp 78. Journal of Virology. 40(2). 533–540. 6 indexed citations
20.
Pfeifer, Susan, A. Kallio, Antti Vaheri, Ralf F. Pettersson, & N Oker-Blom. (1980). Stable bone‐marrow‐derived cell line producing transforming avian acute leukemia virus OK 10. International Journal of Cancer. 25(2). 235–242. 10 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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