Eriko Shimada

813 total citations
46 papers, 506 citations indexed

About

Eriko Shimada is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Molecular Biology. According to data from OpenAlex, Eriko Shimada has authored 46 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cardiology and Cardiovascular Medicine, 19 papers in Epidemiology and 12 papers in Molecular Biology. Recurrent topics in Eriko Shimada's work include Congenital Heart Disease Studies (17 papers), Cardiovascular Issues in Pregnancy (7 papers) and Cardiovascular Function and Risk Factors (6 papers). Eriko Shimada is often cited by papers focused on Congenital Heart Disease Studies (17 papers), Cardiovascular Issues in Pregnancy (7 papers) and Cardiovascular Function and Risk Factors (6 papers). Eriko Shimada collaborates with scholars based in Japan, United States and United Kingdom. Eriko Shimada's co-authors include Michael A. Teitell, Geng Wang, Carla M. Koehler, Kei Inai, Jason Hong, Geoffrey Smith, Jin Zhang, Toshio Nakanishi, Kenji Murata and Masato Kinoshita and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Biochemistry.

In The Last Decade

Eriko Shimada

42 papers receiving 502 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eriko Shimada Japan 13 265 119 100 59 49 46 506
Xueqin Liu China 13 196 0.7× 34 0.3× 55 0.6× 101 1.7× 47 1.0× 36 398
Jia Hou China 14 166 0.6× 110 0.9× 28 0.3× 38 0.6× 23 0.5× 48 519
Ying Tian China 13 122 0.5× 41 0.3× 18 0.2× 80 1.4× 46 0.9× 38 488
Yasuhiro Kon Japan 14 185 0.7× 44 0.4× 59 0.6× 24 0.4× 9 0.2× 36 519
Siva Koganti United States 12 227 0.9× 147 1.2× 43 0.4× 21 0.4× 21 0.4× 21 601
Jizhen Zou China 14 380 1.4× 28 0.2× 32 0.3× 91 1.5× 73 1.5× 41 621
Dhivyaa Rajasundaram United States 13 215 0.8× 47 0.4× 14 0.1× 15 0.3× 47 1.0× 37 434
Prashant V. Thakkar United States 7 432 1.6× 43 0.4× 9 0.1× 51 0.9× 54 1.1× 13 576
Hope Lancero United States 11 221 0.8× 59 0.5× 29 0.3× 87 1.5× 53 1.1× 14 549
Ai Chen China 12 330 1.2× 50 0.4× 31 0.3× 26 0.4× 43 0.9× 39 523

Countries citing papers authored by Eriko Shimada

Since Specialization
Citations

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

Fields of papers citing papers by Eriko Shimada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eriko Shimada

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

All Works

20 of 20 papers shown
1.
2.
Inai, Kei, et al.. (2023). α/β- and β-Blocker Exposure in Pregnancy and the Risk of Neonatal Hypoglycemia and Small for Gestational Age. Circulation Journal. 87(4). 569–577. 6 indexed citations
3.
Shiina, Yumi, Michinobu Nagao, Keiichi Itatani, Eriko Shimada, & Kei Inai. (2023). 4D flow MRI-derived energy loss and RV workload in adults with tetralogy of Fallot. Journal of Cardiology. 83(6). 382–389. 3 indexed citations
4.
Shimada, Eriko, et al.. (2022). Reprocessing seafood waste: challenge to develop aquatic clean meat from fish cells. npj Science of Food. 6(1). 7–7. 25 indexed citations
5.
Inai, Kei, et al.. (2021). Management of pregnancy and delivery in women with transposition of the great arteries after atrial switch operation: A 16‐year single‐center experience. Journal of obstetrics and gynaecology research. 48(2). 351–359. 1 indexed citations
6.
Shimada, Eriko, et al.. (2020). Predictors of neo-aortic valve regurgitation in the long term after arterial switch operation. Heart and Vessels. 36(5). 693–703. 2 indexed citations
7.
Dimopoulos, Konstantinos, Eriko Shimada, Karen Lascelles, et al.. (2019). Early and Late Effects of Cardiac Resynchronization Therapy in Adult Congenital Heart Disease. Journal of the American Heart Association. 8(21). e012744–e012744. 16 indexed citations
8.
Inai, Kei, et al.. (2019). Clinical Significance of Central Venous Pressure During Exercise After Fontan Procedure. Pediatric Cardiology. 41(2). 251–257. 3 indexed citations
9.
Inai, Kei, Tokuko Shinohara, Eriko Shimada, et al.. (2018). Pregnancy and delivery outcomes from patients with repaired anomalous origin of the left coronary artery from the pulmonary artery. Journal of obstetrics and gynaecology research. 44(5). 899–906. 1 indexed citations
10.
Inai, Kei, Tokuko Shinohara, Eriko Shimada, et al.. (2018). Influence of pregnancy on cardiac function and hemodynamics in women with Ebstein's anomaly. Acta Obstetricia Et Gynecologica Scandinavica. 97(8). 1025–1031. 5 indexed citations
11.
Shimada, Eriko, Fasih M. Ahsan, Mahta Nili, et al.. (2018). PNPase knockout results in mtDNA loss and an altered metabolic gene expression program. PLoS ONE. 13(7). e0200925–e0200925. 15 indexed citations
12.
Inai, Kei, et al.. (2017). The prognostic value of high sensitivity cardiac troponin T in patients with congenital heart disease. Journal of Cardiology. 71(4). 389–393. 20 indexed citations
13.
Shimada, Eriko, et al.. (2017). Ca 2+ dynamics in zebrafish morphogenesis. PeerJ. 5. e2894–e2894. 3 indexed citations
14.
Izumi, Gaku, Kei Inai, Eriko Shimada, & Toshio Nakanishi. (2016). Vitamin D Kinetics and Parathyroid Gland Function in Patients with Congenital Heart Disease. Congenital Heart Disease. 11(6). 700–706. 12 indexed citations
15.
Shimada, Eriko, et al.. (2016). Methyl viologen induces neural differentiation on murine P19 cells. In Vitro Cellular & Developmental Biology - Animal. 52(4). 466–472. 1 indexed citations
16.
17.
Tsutsui, Kenta, et al.. (2016). A novel fluorescent protein from the deep-sea anemone Cribrinopsis japonica (Anthozoa: Actiniaria). Scientific Reports. 6(1). 23493–23493. 7 indexed citations
18.
Wang, Geng, Eriko Shimada, Jin Zhang, et al.. (2012). Correcting human mitochondrial mutations with targeted RNA import. Proceedings of the National Academy of Sciences. 109(13). 4840–4845. 104 indexed citations
19.
Shimada, Eriko, Kazuhiko Aida, Tatsuya Sugawara, & Takashi Hirata. (2011). Inhibitory Effect of Topical Maize Glucosylceramide on Skin Photoaging in UVA-irradiated Hairless Mice. Journal of Oleo Science. 60(6). 321–325. 25 indexed citations
20.
Wang, Geng, Eriko Shimada, Carla M. Koehler, & Michael A. Teitell. (2011). PNPASE and RNA trafficking into mitochondria. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1819(9-10). 998–1007. 65 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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