Tomoaki Ikeda

9.0k total citations
389 papers, 6.1k citations indexed

About

Tomoaki Ikeda is a scholar working on Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Tomoaki Ikeda has authored 389 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 184 papers in Pediatrics, Perinatology and Child Health, 115 papers in Obstetrics and Gynecology and 85 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Tomoaki Ikeda's work include Neonatal and fetal brain pathology (87 papers), Pregnancy and preeclampsia studies (68 papers) and Neonatal Respiratory Health Research (60 papers). Tomoaki Ikeda is often cited by papers focused on Neonatal and fetal brain pathology (87 papers), Pregnancy and preeclampsia studies (68 papers) and Neonatal Respiratory Health Research (60 papers). Tomoaki Ikeda collaborates with scholars based in Japan, United States and New Zealand. Tomoaki Ikeda's co-authors include Tsuyomu Ikenoue, Shinji Katsuragi, Michihiro Fujiwara, Katsunori Iwasaki, Julian T. Parer, Kenichi Mishima, Hiroaki Tanaka, Jun Yoshimatsu, Nobuaki Egashira and Hiroshi Sameshima and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and The EMBO Journal.

In The Last Decade

Tomoaki Ikeda

371 papers receiving 5.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tomoaki Ikeda Japan 38 2.7k 1.4k 1.2k 999 857 389 6.1k
Marilyn J. Cipolla United States 46 996 0.4× 663 0.5× 1.5k 1.2× 991 1.0× 395 0.5× 156 6.4k
Frank van Bel Netherlands 53 5.0k 1.8× 3.5k 2.6× 351 0.3× 332 0.3× 833 1.0× 226 8.5k
Tsuyomu Ikenoue Japan 33 1.6k 0.6× 739 0.5× 642 0.5× 168 0.2× 267 0.3× 218 3.4k
M. Jane Black Australia 40 2.7k 1.0× 1.0k 0.7× 2.1k 1.7× 973 1.0× 611 0.7× 129 5.6k
Berthold Hocher Germany 53 1.6k 0.6× 1.2k 0.9× 1.0k 0.9× 2.0k 2.0× 1.1k 1.3× 355 9.4k
Sherin U. Devaskar United States 48 2.7k 1.0× 540 0.4× 1.4k 1.2× 151 0.2× 1.2k 1.4× 203 7.1k
A Aynsley‐Green United Kingdom 51 2.2k 0.8× 1.1k 0.8× 214 0.2× 261 0.3× 2.2k 2.5× 195 8.5k
Barbara T. Alexander United States 44 3.6k 1.3× 582 0.4× 3.3k 2.7× 2.0k 2.0× 996 1.2× 121 7.0k
W. Edward Visser Netherlands 46 2.5k 0.9× 389 0.3× 2.5k 2.1× 527 0.5× 445 0.5× 248 7.5k
Ernest M. Graham United States 26 2.0k 0.7× 967 0.7× 362 0.3× 130 0.1× 198 0.2× 93 3.0k

Countries citing papers authored by Tomoaki Ikeda

Since Specialization
Citations

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

Fields of papers citing papers by Tomoaki Ikeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomoaki Ikeda

This figure shows the co-authorship network connecting the top 25 collaborators of Tomoaki Ikeda. A scholar is included among the top collaborators of Tomoaki Ikeda 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 Tomoaki Ikeda. Tomoaki Ikeda 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.
Katsuragi, Shinji, Yumi Shiina, Junichi Hasegawa, et al.. (2024). Maternal Death Due to Pulmonary Arterial Hypertension　― A Nationwide Survey in Japan ―. Circulation Journal. 89(1). 77–82.
2.
Ikeda, Tomoaki, et al.. (2024). The development of early human lymphatic vessels as characterized by lymphatic endothelial markers. The EMBO Journal. 43(5). 868–885. 5 indexed citations
3.
Maki, Shintaro, et al.. (2024). Tadalafil for Treatment of Fetal Growth Restriction: A Review of Experimental and Clinical Studies. Biomedicines. 12(4). 804–804.
4.
Tanaka, Hiroaki, et al.. (2024). The efficacy of vaginal treatment for non‐Lactobacillus dominant endometrial microbiota—A case–control study. Journal of obstetrics and gynaecology research. 50(4). 604–610. 5 indexed citations
5.
6.
Ross, Michael G., Satoshi Toyokawa, Kiyotake Ichizuka, et al.. (2023). Prevention of fetal brain injury in category II tracings. Acta Obstetricia Et Gynecologica Scandinavica. 102(12). 1730–1740. 1 indexed citations
7.
Maki, Shintaro, et al.. (2023). Evaluation of fetal acidemia during delivery using the conventional 5-tier classification and Rainbow systems. PLoS ONE. 18(6). e0287535–e0287535. 1 indexed citations
8.
9.
Nii, Masafumi, et al.. (2022). Evaluation of the tolerability of monoclonal antibody therapy for pregnant patients with COVID‐19. Journal of obstetrics and gynaecology research. 48(9). 2325–2333. 7 indexed citations
10.
Nii, Masafumi, et al.. (2022). Comparative study of the usefulness of risk score assessment in the early stages of COVID‐19 affected pregnancies: Omicron variant versus previous variants. Journal of obstetrics and gynaecology research. 48(11). 2721–2729. 2 indexed citations
11.
12.
Maki, Shintaro, Masafumi Nii, Hiroaki Tanaka, et al.. (2022). Relationship between Edinburg Postnatal Depression Scale (EPDS) Scores in the Early Postpartum Period and Related Stress Coping Characteristics. Healthcare. 10(7). 1350–1350. 2 indexed citations
13.
Hasegawa, Junichi, Tomoaki Ikeda, Satoshi Toyokawa, et al.. (2022). Fetal heart rate evolution patterns in cerebral palsy associated with umbilical cord complications: a nationwide study. BMC Pregnancy and Childbirth. 22(1). 177–177. 3 indexed citations
14.
Kondo, Eiji, et al.. (2021). Prognostic Benefit of ≥6 Cycles of Neoadjuvant Chemotherapy for Advanced Ovarian, Tubal, and Peritoneal Cancers. Anticancer Research. 41(8). 4157–4161. 1 indexed citations
15.
Nakata, Masahiko, Junichi Hasegawa, Hiroaki Tanaka, et al.. (2020). Nationwide study of mortality and survival in pregnancy‐related streptococcal toxic shock syndrome. Journal of obstetrics and gynaecology research. 47(3). 928–934. 3 indexed citations
16.
Maki, Shintaro, Ineko Kato, Masafumi Nii, et al.. (2020). Developmental Evaluation of Infants Who Have Received Tadalafil in Utero for Fetal Growth Restriction. Journal of Clinical Medicine. 9(5). 1448–1448. 4 indexed citations
17.
Tanaka, Hiroaki, Shintaro Maki, Masafumi Nii, et al.. (2019). Maternal Blood Concentration of Tadalafil and Uterine Blood Flow in Pregnancy. Medicina. 55(10). 708–708. 5 indexed citations
18.
Tanaka, Hiroaki, et al.. (2018). A literature review of herpes simplex virus hepatitis in pregnancy. The Journal of Maternal-Fetal & Neonatal Medicine. 33(10). 1774–1779. 6 indexed citations
19.
Umekawa, Takashi, Shintaro Maki, Michiko Kubo, et al.. (2018). TADAFER II: Tadalafil treatment for fetal growth restriction - a study protocol for a multicenter randomised controlled phase II trial. BMJ Open. 8(10). e020948–e020948. 8 indexed citations
20.
Ikeda, Tomoaki, et al.. (1999). Two sinusoidal heart rate patterns in fetal lambs undergoing extracorporeal membrane oxygenation. American Journal of Obstetrics and Gynecology. 180(2). 462–468. 2 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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