Liza E. Pfaff

536 total citations
8 papers, 415 citations indexed

About

Liza E. Pfaff is a scholar working on Genetics, Molecular Biology and Immunology. According to data from OpenAlex, Liza E. Pfaff has authored 8 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 4 papers in Molecular Biology and 3 papers in Immunology. Recurrent topics in Liza E. Pfaff's work include Reproductive System and Pregnancy (3 papers), Estrogen and related hormone effects (2 papers) and Hypothalamic control of reproductive hormones (1 paper). Liza E. Pfaff is often cited by papers focused on Reproductive System and Pregnancy (3 papers), Estrogen and related hormone effects (2 papers) and Hypothalamic control of reproductive hormones (1 paper). Liza E. Pfaff collaborates with scholars based in United States, South Korea and Norway. Liza E. Pfaff's co-authors include J. Larry Jameson, Jeffrey Weiss, Lisa Hurley, Jon E. Levine, Christine Glidewell-Kenney, Eun Jig Lee, Sylvia C. Hewitt, Kenneth S. Korach, Jeanne E. O’Brien and Gary D. Hammer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Development.

In The Last Decade

Liza E. Pfaff

6 papers receiving 409 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Liza E. Pfaff United States	6	236	190	168	67	46	8	415
E. Pedernera Mexico	15	245 1.0×	131 0.7×	265 1.6×	38 0.6×	122 2.7×	52	600
Todd A. Farmerie United States	13	293 1.2×	309 1.6×	319 1.9×	143 2.1×	96 2.1×	18	748
L Bélair France	13	144 0.6×	148 0.8×	60 0.4×	67 1.0×	195 4.2×	18	443
Ya-Wen Chang Taiwan	12	203 0.9×	88 0.5×	124 0.7×	52 0.8×	29 0.6×	17	433
Gail C. Ekman United States	11	168 0.7×	146 0.8×	276 1.6×	132 2.0×	12 0.3×	11	524
Jorge Merlet France	9	90 0.4×	314 1.7×	75 0.4×	21 0.3×	19 0.4×	15	415
Michele D. Calder Canada	16	263 1.1×	256 1.3×	319 1.9×	136 2.0×	37 0.8×	29	789
Benoît Guyonnet France	13	134 0.6×	245 1.3×	365 2.2×	74 1.1×	47 1.0×	20	601
Vijaya Raghavan India	11	63 0.3×	178 0.9×	87 0.5×	62 0.9×	38 0.8×	29	386
Michaela Kosmann Germany	8	108 0.5×	247 1.3×	155 0.9×	100 1.5×	140 3.0×	9	703

Countries citing papers authored by Liza E. Pfaff

Since Specialization

Citations

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

Fields of papers citing papers by Liza E. Pfaff

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Liza E. Pfaff. 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 Liza E. Pfaff. The network helps show where Liza E. Pfaff may publish in the future.

Co-authorship network of co-authors of Liza E. Pfaff

This figure shows the co-authorship network connecting the top 25 collaborators of Liza E. Pfaff. A scholar is included among the top collaborators of Liza E. Pfaff 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 Liza E. Pfaff. Liza E. Pfaff is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

Alyami, Nouf M., et al.. (2019). Defining the Significance of Insulin‐like Growth Factor 2 mRNA‐Binding Protein 1 (IGF2BP1) Expression in both Human and Canine Osteosarcoma. The FASEB Journal. 33(S1).

Pfaff, Liza E., et al.. (2014). Abstract A23: Insulin-like growth factor 2 mRNA binding protein 1 (IGF2BP1) drives growth, metastasis and chemoresistance in human and canine osteosarcoma. Molecular Cancer Research. 12(11_Supplement). A23–A23.

Dailey, Deanna D., Liza E. Pfaff, E. J. Ehrhart, et al.. (2013). HES1, a target of Notch signaling, is elevated in canine osteosarcoma, but reduced in the most aggressive tumors. BMC Veterinary Research. 9(1). 130–130. 32 indexed citations

Eisen, Rebecca J., et al.. (2008). Ecoepidemiology of Tularemia in the Southcentral United States. American Journal of Tropical Medicine and Hygiene. 78(4). 586–594. 27 indexed citations

Glidewell-Kenney, Christine, Lisa Hurley, Liza E. Pfaff, et al.. (2007). Nonclassical estrogen receptor α signaling mediates negative feedback in the female mouse reproductive axis. Proceedings of the National Academy of Sciences. 104(19). 8173–8177. 153 indexed citations

Lee, Eun Jig, et al.. (2007). Islet cell differentiation in liver by combinatorial expression of transcription factors Neurogenin-3, BETA2, and RIPE3b1. Biochemical and Biophysical Research Communications. 354(2). 334–339. 26 indexed citations

O’Brien, Jeanne E., Eun Jig Lee, Liza E. Pfaff, et al.. (2006). Estrogen-induced Proliferation of Uterine Epithelial Cells Is Independent of Estrogen Receptor α Binding to Classical Estrogen Response Elements. Journal of Biological Chemistry. 281(36). 26683–26692. 106 indexed citations

Park, Susan Y., Joshua J. Meeks, Gérald Raverot, et al.. (2005). Nuclear receptors Sf1 and Dax1 function cooperatively to mediate somatic cell differentiation during testis development. Development. 132(10). 2415–2423. 71 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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