Kayleigh Dodd

1.1k total citations
10 papers, 839 citations indexed

About

Kayleigh Dodd is a scholar working on Molecular Biology, Physiology and Oncology. According to data from OpenAlex, Kayleigh Dodd has authored 10 papers receiving a total of 839 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Physiology and 4 papers in Oncology. Recurrent topics in Kayleigh Dodd's work include Tuberous Sclerosis Complex Research (5 papers), PI3K/AKT/mTOR signaling in cancer (4 papers) and Vascular Tumors and Angiosarcomas (3 papers). Kayleigh Dodd is often cited by papers focused on Tuberous Sclerosis Complex Research (5 papers), PI3K/AKT/mTOR signaling in cancer (4 papers) and Vascular Tumors and Angiosarcomas (3 papers). Kayleigh Dodd collaborates with scholars based in United Kingdom, United States and Singapore. Kayleigh Dodd's co-authors include Andrew R. Tee, Jee Myung Yang, Julian R. Sampson, Ming Hong Shen, Elaine A. Dunlop, Ruhee Dere, Cheryl L. Walker, Phyllis L. Faust, Erica Kwiatkowski and Durga Nand Tripathi and has published in prestigious journals such as Nature Cell Biology, Oncogene and American Journal of Physiology-Endocrinology and Metabolism.

In The Last Decade

Kayleigh Dodd

10 papers receiving 828 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kayleigh Dodd United Kingdom	8	554	156	152	133	132	10	839
Kamala Sundararaj United States	17	602 1.1×	144 0.9×	174 1.1×	136 1.0×	128 1.0×	26	1.1k
Laura Ciarlo Italy	18	454 0.8×	163 1.0×	85 0.6×	150 1.1×	171 1.3×	21	824
Xiaofeng Ding China	22	589 1.1×	142 0.9×	297 2.0×	76 0.6×	159 1.2×	42	974
Delphine Gitenay France	16	455 0.8×	127 0.8×	142 0.9×	61 0.5×	77 0.6×	22	761
Abhijit Chakladar United States	9	574 1.0×	222 1.4×	95 0.6×	137 1.0×	120 0.9×	11	993
Sang Gyun Kim United States	6	550 1.0×	102 0.7×	157 1.0×	107 0.8×	109 0.8×	8	725
Claire Bensard United States	9	466 0.8×	206 1.3×	156 1.0×	73 0.5×	85 0.6×	10	754
Koji Matsuhisa Japan	16	433 0.8×	87 0.6×	87 0.6×	234 1.8×	122 0.9×	34	750
Su Myung Jung South Korea	15	451 0.8×	234 1.5×	148 1.0×	97 0.7×	171 1.3×	27	870
Paul F. Erickson United States	13	608 1.1×	161 1.0×	185 1.2×	95 0.7×	121 0.9×	16	975

Countries citing papers authored by Kayleigh Dodd

Since Specialization

Citations

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

Fields of papers citing papers by Kayleigh Dodd

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kayleigh Dodd

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

Dodd, Kayleigh, Hilaire C. Lam, Melissa L. Fishel, et al.. (2022). Drug Inhibition of Redox Factor-1 Restores Hypoxia-Driven Changes in Tuberous Sclerosis Complex 2 Deficient Cells. Cancers. 14(24). 6195–6195. 3 indexed citations

Dodd, Kayleigh & Elaine A. Dunlop. (2016). Tuberous sclerosis—A model for tumour growth. Seminars in Cell and Developmental Biology. 52. 3–11. 18 indexed citations

Dodd, Kayleigh & Andrew R. Tee. (2016). In vitro mTORC1 Kinase Assay for Mammalian Cells Protocol. BIO-PROTOCOL. 6(11). 1 indexed citations

Dodd, Kayleigh, et al.. (2015). STAT3 and HIF1α Signaling Drives Oncogenic Cellular Phenotypes in Malignant Peripheral Nerve Sheath Tumors. Molecular Cancer Research. 13(7). 1149–1160. 23 indexed citations

Dodd, Kayleigh & Andrew R. Tee. (2015). STAT3 and mTOR: co-operating to drive HIF and angiogenesis. Oncoscience. 2(11). 913–914. 17 indexed citations

Thomas, Laura E., Matthew Mort, Kayleigh Dodd, et al.. (2015). Evaluation of copy number variation and gene expression in neurofibromatosis type-1-associated malignant peripheral nerve sheath tumours. Human Genomics. 9(1). 3–3. 17 indexed citations

Dodd, Kayleigh, Jee Myung Yang, Ming Hong Shen, Julian R. Sampson, & Andrew R. Tee. (2014). mTORC1 drives HIF-1α and VEGF-A signalling via multiple mechanisms involving 4E-BP1, S6K1 and STAT3. Oncogene. 34(17). 2239–2250. 287 indexed citations

Zhang, Jiangwei, Angela Alexander, Shengli Cai, et al.. (2013). A tuberous sclerosis complex signalling node at the peroxisome regulates mTORC1 and autophagy in response to ROS. Nature Cell Biology. 15(10). 1186–1196. 207 indexed citations

Dodd, Kayleigh & Andrew R. Tee. (2012). Leucine and mTORC1: a complex relationship. American Journal of Physiology-Endocrinology and Metabolism. 302(11). E1329–E1342. 202 indexed citations

10.

Dunlop, Elaine A., et al.. (2009). Mammalian target of rapamycin complex 1-mediated phosphorylation of eukaryotic initiation factor 4E-binding protein 1 requires multiple protein–protein interactions for substrate recognition. Cellular Signalling. 21(7). 1073–1084. 64 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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