Tommy Terooatea

694 total citations
11 papers, 394 citations indexed

About

Tommy Terooatea is a scholar working on Molecular Biology, Immunology and Surgery. According to data from OpenAlex, Tommy Terooatea has authored 11 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Immunology and 2 papers in Surgery. Recurrent topics in Tommy Terooatea's work include RNA modifications and cancer (3 papers), Immune Cell Function and Interaction (3 papers) and Eosinophilic Esophagitis (2 papers). Tommy Terooatea is often cited by papers focused on RNA modifications and cancer (3 papers), Immune Cell Function and Interaction (3 papers) and Eosinophilic Esophagitis (2 papers). Tommy Terooatea collaborates with scholars based in United States, Japan and Netherlands. Tommy Terooatea's co-authors include Aki Minoda, Amir Pozner, Bethany A. Buck‐Koehntop, Kazuyo Moro, Shigeo Koyasu, Takahiro Suzuki, Matthew Valentine, Takashi Sasaki, Ichiro Taniuchi and Tsukasa Kouno and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Tommy Terooatea

10 papers receiving 392 citations

Peers

Tommy Terooatea

IMMUN

MB

SURGE

NEURO

ONCOL

Victoria Fang United States

Mayuki Watanabe Japan

María E. Ramírez United States

Heather Seitz United States

Yukihisa Sawa Japan

Annette Zehrer Germany

Xiaoxuan Fan United States

Oleg Shpynov United States

Amy Blatchley United States

Angela B. Schmider United States

Victoria Fang United States

Tommy Terooatea

229 ×0.9

IMMUN

234 ×1.8

MB

31 ×0.5

SURGE

24 ×0.6

NEURO

91 ×2.3

ONCOL

Citations per year, relative to Tommy Terooatea Tommy Terooatea (= 1×) peers Victoria Fang

Countries citing papers authored by Tommy Terooatea

Since Specialization

Citations

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

Fields of papers citing papers by Tommy Terooatea

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tommy Terooatea

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

1.

Matsui, Takeshi, Keitaro Fukuda, Tommy Terooatea, et al.. (2023). Keratinocytes of the Upper Epidermis and Isthmus of Hair Follicles Express Hemoglobin mRNA and Protein. Journal of Investigative Dermatology. 143(12). 2346–2355.e10. 2 indexed citations

2.

Motomura, Yasutaka, Tommy Terooatea, S. Thomas Kelly, et al.. (2023). Activation of ILC2s through constitutive IFNγ signaling reduction leads to spontaneous pulmonary fibrosis. Nature Communications. 14(1). 8120–8120. 25 indexed citations

3.

Inoue, Takeshi, Ryo Shinnakasu, Hiromi Yamamoto, et al.. (2022). Antibody feedback contributes to facilitating the development of Omicron-reactive memory B cells in SARS-CoV-2 mRNA vaccinees. The Journal of Experimental Medicine. 220(2). 18 indexed citations

4.

Harada, Michishige, Miho Tanaka, Tommy Terooatea, et al.. (2020). Bim establishes the B-cell repertoire from early to late in the immune response. International Immunology. 33(2). 79–90. 3 indexed citations

5.

Hashimoto, Kosuke, Tsukasa Kouno, Tomokatsu Ikawa, et al.. (2019). Single-cell transcriptomics reveals expansion of cytotoxic CD4 T cells in supercentenarians. Proceedings of the National Academy of Sciences. 116(48). 24242–24251. 198 indexed citations

6.

Koga, Satoshi, Katsuto Hozumi, Ken-ichi Hirano, et al.. (2018). Peripheral PDGFRα+gp38+ mesenchymal cells support the differentiation of fetal liver–derived ILC2. The Journal of Experimental Medicine. 215(6). 1609–1626. 90 indexed citations

7.

Pozner, Amir, et al.. (2017). The C-Terminal Zinc Fingers of ZBTB38 are Novel Selective Readers of DNA Methylation. Journal of Molecular Biology. 430(3). 258–271. 19 indexed citations

8.

Terooatea, Tommy, Amir Pozner, & Bethany A. Buck‐Koehntop. (2016). PAtCh-Cap: input strategy for improving analysis of ChIP-exo data sets and beyond. Nucleic Acids Research. 44(21). gkw741–gkw741. 7 indexed citations

9.

Pozner, Amir, Tommy Terooatea, & Bethany A. Buck‐Koehntop. (2016). Cell-specific Kaiso (ZBTB33) Regulation of Cell Cycle through Cyclin D1 and Cyclin E1. Journal of Biological Chemistry. 291(47). 24538–24550. 31 indexed citations

10.

Terooatea, Tommy, et al.. (2015). Abstract 2957: Investigating methyl-CpG DNA recognition in cancer. Cancer Research. 75(15_Supplement). 2957–2957.

11.

Bartl, Michael H., et al.. (2012). Natural photonic crystals: formation, structure, function. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8279. 827907–827907. 1 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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