Terri Iwata

495 total citations
10 papers, 365 citations indexed

About

Terri Iwata is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Terri Iwata has authored 10 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Surgery and 2 papers in Genetics. Recurrent topics in Terri Iwata's work include PI3K/AKT/mTOR signaling in cancer (4 papers), FOXO transcription factor regulation (2 papers) and Genetics, Aging, and Longevity in Model Organisms (2 papers). Terri Iwata is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (4 papers), FOXO transcription factor regulation (2 papers) and Genetics, Aging, and Longevity in Model Organisms (2 papers). Terri Iwata collaborates with scholars based in United States and South Africa. Terri Iwata's co-authors include Gizem Rizki, Siu Sylvia Lee, Heon Park, Brian M. Iritani, Ji Li, Atsushi Ebata, Yuqing Dong, Mark Tsang, Coleen T. Murphy and Max Jan and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Endocrinology.

In The Last Decade

Terri Iwata

9 papers receiving 362 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Terri Iwata United States 8 181 125 63 63 46 10 365
Roberto A. Avelar United Kingdom 7 186 1.0× 60 0.5× 104 1.7× 59 0.9× 8 0.2× 12 352
Kenneth A. Wilson United States 11 140 0.8× 124 1.0× 105 1.7× 54 0.9× 4 0.1× 23 430
Hena Alam United States 8 332 1.8× 84 0.7× 41 0.7× 45 0.7× 5 0.1× 8 600
Daniela Tejada-Martínez Chile 7 185 1.0× 47 0.4× 76 1.2× 56 0.9× 6 0.1× 8 335
Yu‐Jin Jo South Korea 13 211 1.2× 25 0.2× 19 0.3× 31 0.5× 17 0.4× 32 442
Jan Fröhlich Czechia 13 196 1.1× 23 0.2× 74 1.2× 21 0.3× 12 0.3× 31 377
John Cole United Kingdom 6 205 1.1× 32 0.3× 65 1.0× 48 0.8× 3 0.1× 14 293
Srivatsan Padmanabhan United States 5 194 1.1× 105 0.8× 28 0.4× 9 0.1× 8 0.2× 5 306
Malin Hernebring Sweden 9 241 1.3× 71 0.6× 56 0.9× 16 0.3× 3 0.1× 14 341
Götz Hartleben Germany 8 153 0.8× 25 0.2× 72 1.1× 29 0.5× 11 0.2× 9 280

Countries citing papers authored by Terri Iwata

Since Specialization
Citations

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

Fields of papers citing papers by Terri Iwata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Terri Iwata

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

All Works

10 of 10 papers shown
1.
Ramírez, Julita, Terri Iwata, Heon Park, et al.. (2019). Folliculin Interacting Protein 1 Maintains Metabolic Homeostasis during B Cell Development by Modulating AMPK, mTORC1, and TFE3. The Journal of Immunology. 203(11). 2899–2908. 15 indexed citations
2.
Tsang, Mark, Terri Iwata, Heon Park, et al.. (2018). Loss of Fnip1 alters kidney developmental transcriptional program and synergizes with TSC1 loss to promote mTORC1 activation and renal cyst formation. PLoS ONE. 13(6). e0197973–e0197973. 18 indexed citations
3.
Iwata, Terri, et al.. (2017). Control of B lymphocyte development and functions by the mTOR signaling pathways. Cytokine & Growth Factor Reviews. 35. 47–62. 44 indexed citations
4.
Iwata, Terri, Julita Ramírez, Daciana Margineantu, et al.. (2016). Conditional disruption of Raptor reveals an essential role for mTORC1 in B cell development, survival, and metabolism.. The Journal of Immunology. 196(1_Supplement). 122.5–122.5.
5.
Iwata, Terri, Julita Ramírez, Mark Tsang, et al.. (2016). Conditional Disruption of Raptor Reveals an Essential Role for mTORC1 in B Cell Development, Survival, and Metabolism. The Journal of Immunology. 197(6). 2250–2260. 64 indexed citations
6.
Iwata, Terri, et al.. (2013). The Transcriptional Co-Regulator HCF-1 Is Required for INS-1 β-cell Glucose-Stimulated Insulin Secretion. PLoS ONE. 8(11). e78841–e78841. 3 indexed citations
7.
Rizki, Gizem, Terri Iwata, Christian G. Riedel, et al.. (2011). The Evolutionarily Conserved Longevity Determinants HCF-1 and SIR-2.1/SIRT1 Collaborate to Regulate DAF-16/FOXO. PLoS Genetics. 7(9). e1002235–e1002235. 87 indexed citations
8.
Li, Ji, Atsushi Ebata, Yuqing Dong, et al.. (2008). Caenorhabditis elegans HCF-1 Functions in Longevity Maintenance as a DAF-16 Regulator. PLoS Biology. 6(9). e233–e233. 96 indexed citations
9.
Kurten, Erin L., et al.. (2007). Morella cerifera invasion and nitrogen cycling on a lowland Hawaiian lava flow. Biological Invasions. 10(1). 19–24. 24 indexed citations
10.
Berghorn, Kathie A., Terri Iwata, Ian Welsh, et al.. (2006). Analysis of the Gene Regulatory Program Induced by the Homeobox Transcription Factor Distal-less 3 in Mouse Placenta. Endocrinology. 148(3). 1246–1254. 14 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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