Nicole Yeager

661 total citations
11 papers, 541 citations indexed

About

Nicole Yeager is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Genetics. According to data from OpenAlex, Nicole Yeager has authored 11 papers receiving a total of 541 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Endocrinology, Diabetes and Metabolism and 3 papers in Genetics. Recurrent topics in Nicole Yeager's work include PI3K/AKT/mTOR signaling in cancer (4 papers), IL-33, ST2, and ILC Pathways (2 papers) and Immune Cell Function and Interaction (2 papers). Nicole Yeager is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (4 papers), IL-33, ST2, and ILC Pathways (2 papers) and Immune Cell Function and Interaction (2 papers). Nicole Yeager collaborates with scholars based in United States, China and Canada. Nicole Yeager's co-authors include Antonio Di Cristofano, Andres J. Klein–Szanto, Shioko Kimura, Robert J. Barrett, Stephan R. Targan, Samuel Refetoff, Kelly A. Miller, Xiao-Hui Liao, Xiaolan Zhang and Kathrin S. Michelsen and has published in prestigious journals such as PLoS ONE, Cancer Research and American Journal Of Pathology.

In The Last Decade

Nicole Yeager

11 papers receiving 531 citations

Peers

Nicole Yeager

EDM

GENET

ONCOL

IMMUN

Emily M. King United States

Takao Susa Japan

Alexsandra C. Malaquias Brazil

Noboru Egashira Japan

Jason M. Spaeth United States

Todd C. Metzger United States

Yasuhiro Mouri Japan

Heleen Roose Belgium

C Shimomura Japan

Katrin Hafen Switzerland

Emily M. King United States

Nicole Yeager

356 ×1.4

66 ×0.4

EDM

73 ×0.5

GENET

94 ×0.8

ONCOL

110 ×0.9

IMMUN

Citations per year, relative to Nicole Yeager Nicole Yeager (= 1×) peers Emily M. King

Countries citing papers authored by Nicole Yeager

Since Specialization

Citations

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

Fields of papers citing papers by Nicole Yeager

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicole Yeager

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

All Works

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11 of 11 papers shown

Kochanska, Grazyna, et al.. (2021). Children’s emerging receptive, positive orientation toward their parents in the network of early attachment relationships. Attachment & Human Development. 23(5). 687–709. 8 indexed citations

Irvin, Dwain K., et al.. (2020). CD103 Deficiency Promotes Autism (ASD) and Attention-Deficit Hyperactivity Disorder (ADHD) Behavioral Spectra and Reduces Age-Related Cognitive Decline. Frontiers in Neurology. 11. 557269–557269. 5 indexed citations

Rentsendorj, Altan, Armen Mardiros, Nicole Yeager, et al.. (2020). Functional recreation of age-related CD8 T cells in young mice identifies drivers of aging- and human-specific tissue pathology. Mechanisms of Ageing and Development. 191. 111351–111351. 6 indexed citations

Wheeler, Christopher J., Altan Rentsendorj, Nicole Yeager, et al.. (2020). Age‐related resident memory CD8 T cells link amyloid to NFTs and neurodegeneration in mice and are modulated in AD and MCI blood. Alzheimer s & Dementia. 16(S2). 1 indexed citations

Barrett, Robert J., Loren Ornelas, Nicole Yeager, et al.. (2014). Reliable Generation of Induced Pluripotent Stem Cells From Human Lymphoblastoid Cell Lines. Stem Cells Translational Medicine. 3(12). 1429–1434. 63 indexed citations

Shih, David Q., Robert J. Barrett, Xiaolan Zhang, et al.. (2011). Constitutive TL1A (TNFSF15) Expression on Lymphoid or Myeloid Cells Leads to Mild Intestinal Inflammation and Fibrosis. PLoS ONE. 6(1). e16090–e16090. 85 indexed citations

Barrett, Robert J., Xiaolan Zhang, Hon Wai Koon, et al.. (2011). Constitutive TL1A Expression under Colitogenic Conditions Modulates the Severity and Location of Gut Mucosal Inflammation and Induces Fibrostenosis. American Journal Of Pathology. 180(2). 636–649. 78 indexed citations

Miller, Kelly A., et al.. (2009). Oncogenic Kras Requires Simultaneous PI3K Signaling to Induce ERK Activation and Transform Thyroid Epithelial Cells In vivo. Cancer Research. 69(8). 3689–3694. 111 indexed citations

Yeager, Nicole, et al.. (2008). Mammalian Target of Rapamycin Is the Key Effector of Phosphatidylinositol-3-OH–Initiated Proliferative Signals in the Thyroid Follicular Epithelium. Cancer Research. 68(2). 444–449. 36 indexed citations

10.

Yeager, Nicole, Andres J. Klein–Szanto, Shioko Kimura, & Antonio Di Cristofano. (2007). Pten Loss in the Mouse Thyroid Causes Goiter and Follicular Adenomas: Insights into Thyroid Function and Cowden Disease Pathogenesis. Cancer Research. 67(3). 959–966. 88 indexed citations

11.

Yeager, Nicole, et al.. (2007). Thyroid-Stimulating Hormone–Initiated Proliferative Signals Converge In vivo on the mTOR Kinase without Activating AKT. Cancer Research. 67(17). 8002–8006. 60 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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