Takehiko Hiroma

414 total citations
26 papers, 236 citations indexed

About

Takehiko Hiroma is a scholar working on Pulmonary and Respiratory Medicine, Pediatrics, Perinatology and Child Health and Surgery. According to data from OpenAlex, Takehiko Hiroma has authored 26 papers receiving a total of 236 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Pulmonary and Respiratory Medicine, 10 papers in Pediatrics, Perinatology and Child Health and 9 papers in Surgery. Recurrent topics in Takehiko Hiroma's work include Neonatal Respiratory Health Research (12 papers), Infant Development and Preterm Care (7 papers) and Respiratory Support and Mechanisms (6 papers). Takehiko Hiroma is often cited by papers focused on Neonatal Respiratory Health Research (12 papers), Infant Development and Preterm Care (7 papers) and Respiratory Support and Mechanisms (6 papers). Takehiko Hiroma collaborates with scholars based in Japan, Finland and United States. Takehiko Hiroma's co-authors include Tomohiko Nakamura, Satoshi Takamizawa, Eriko Nishi, Tomoki Kosho, Masanori Tamura, Tsuyoshi Kaneko, Yoshifumi Ogiso, Atsushi Komiyama, Hiroshi Kawame and Seiji Mizuno and has published in prestigious journals such as SHILAP Revista de lepidopterología, Early Human Development and Pediatric Blood & Cancer.

In The Last Decade

Takehiko Hiroma

25 papers receiving 230 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Takehiko Hiroma Japan 10 128 118 71 36 23 26 236
Jegen Kandasamy United States 7 164 1.3× 108 0.9× 34 0.5× 20 0.6× 57 2.5× 9 226
Nancy Peters United States 5 449 3.5× 294 2.5× 148 2.1× 131 3.6× 45 2.0× 11 521
H Löser Germany 8 81 0.6× 47 0.4× 107 1.5× 12 0.3× 84 3.7× 24 215
Daniel B. Sobel United States 5 138 1.1× 46 0.4× 36 0.5× 64 1.8× 25 1.1× 10 185
María Elena Venegas Colombia 3 229 1.8× 92 0.8× 39 0.5× 44 1.2× 56 2.4× 4 266
Jiying Wen China 10 43 0.3× 97 0.8× 105 1.5× 9 0.3× 19 0.8× 29 316
K. L. Tan United States 8 71 0.6× 48 0.4× 174 2.5× 7 0.2× 14 0.6× 14 238
Jeannette S von Lindern Netherlands 8 133 1.0× 27 0.2× 151 2.1× 15 0.4× 27 1.2× 9 265
Machiko Ikegami United States 6 413 3.2× 189 1.6× 65 0.9× 162 4.5× 28 1.2× 8 443
Chantal Lecart United States 5 268 2.1× 143 1.2× 25 0.4× 94 2.6× 27 1.2× 12 290

Countries citing papers authored by Takehiko Hiroma

Since Specialization
Citations

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

Fields of papers citing papers by Takehiko Hiroma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takehiko Hiroma

This figure shows the co-authorship network connecting the top 25 collaborators of Takehiko Hiroma. A scholar is included among the top collaborators of Takehiko Hiroma 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 Takehiko Hiroma. Takehiko Hiroma 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.
Sano, Fumikazu, Takehiko Hiroma, Yuji Inaba, et al.. (2023). Factors associated with the development of epilepsy in very low birth weight infants. Pediatrics & Neonatology. 64(6). 637–643. 1 indexed citations
2.
Ogawa, Ryo, et al.. (2021). Respiratory and Gastrointestinal Management of an Infant with a Birth Weight of 258 Grams. American Journal of Perinatology Reports. 12(1). e89–e95.
3.
Ochiai, Masayuki, Hirosuke Inoue, Shinichi Watabe, et al.. (2019). Transcutaneous blood gas monitoring among neonatal intensive care units in Japan. Pediatrics International. 62(2). 169–174. 8 indexed citations
4.
Shiraishi, Jun, Satoshi Kusuda, Kazutoshi Cho, et al.. (2018). Standardization of nitric oxide inhalation in extremely preterm infants in Japan. Pediatrics International. 61(2). 152–157. 11 indexed citations
5.
Nishi, Eriko, Rie Kawamura, Soichi Shibuya, et al.. (2018). Clinical courses of children with trisomy 13 receiving intensive neonatal and pediatric treatment. American Journal of Medical Genetics Part A. 176(9). 1941–1949. 15 indexed citations
6.
7.
Hiroma, Takehiko, et al.. (2018). Neurally adjusted ventilatory assist in extremely low‐birthweight infants. Pediatrics International. 60(9). 844–848. 11 indexed citations
8.
Nakamura, Tomohiko, et al.. (2016). LYMPHANGIOMA IN THE PRACTICE OF AN OBSTETRICIAN-GYNECOLOGIST. Health and Ecology Issues. 105–110. 1 indexed citations
9.
Yanagisawa, Ryu, Masahiko Noguchi, Kazuo Sakashita, et al.. (2015). Preoperative Treatment With Pazopanib in a Case of Chemotherapy‐Resistant Infantile Fibrosarcoma. Pediatric Blood & Cancer. 63(2). 348–351. 6 indexed citations
10.
Izumi, Kosuke, Daisuke Hayashi, Christopher M. Grochowski, et al.. (2015). Discordant clinical phenotype in monozygotic twins with Alagille syndrome: Possible influence of non‐genetic factors. American Journal of Medical Genetics Part A. 170(2). 471–475. 22 indexed citations
11.
Nishi, Eriko, Satoshi Takamizawa, Yasumasa Yamada, et al.. (2013). Surgical intervention for esophageal atresia in patients with trisomy 18. American Journal of Medical Genetics Part A. 164(2). 324–330. 36 indexed citations
12.
Saida, Ken, Tomohiko Nakamura, Takehiko Hiroma, Kiyohiro Takigiku, & Satoshi Yasukochi. (2013). Preoperative left ventricular internal dimension in end-diastole as earlier identification of early patent ductus arteriosus operation and postoperative intensive care in very low birth weight infants. Early Human Development. 89(10). 821–823. 5 indexed citations
13.
Hiroma, Takehiko, et al.. (2011). PETCO2 measured by a new lightweight mainstream capnometer with very low dead space volume offers accurate and reliable noninvasive estimation of PaCO2. SHILAP Revista de lepidopterología. 61–61. 4 indexed citations
14.
Hiroma, Takehiko, et al.. (2010). Effects of heliox as carrier gas on ventilation and oxygenation in an animal model of piston-type HFOV: a crossover experimental study. BioMedical Engineering OnLine. 9(1). 71–71. 5 indexed citations
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Hiroma, Takehiko, et al.. (2008). Relationship between general movements assessment at post-conception week 40 and developmental score at 3 years in very low birth weight infants. 44(3). 684–688. 1 indexed citations
18.
Hiroma, Takehiko, Atsushi Baba, Masanori Tamura, & Tomohiko Nakamura. (2006). Liquid Incubator with Perfluorochemicals for Extremely Premature Infants. Neonatology. 90(3). 162–167. 1 indexed citations
19.
Zhang, Eric Erquan, et al.. (2005). Airway lavage with exogenous surfactant in an animal model of meconium aspiration syndrome. Pediatrics International. 47(3). 237–241. 12 indexed citations
20.
Hiroma, Takehiko, Tomohiko Nakamura, Masanori Tamura, Tsuyoshi Kaneko, & Atsushi Komiyama. (2002). Continuous Venovenous Hemodiafiltration in Neonatal Onset Hyperammonemia. American Journal of Perinatology. 19(4). 221–224. 18 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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