Tomoki Maeda

682 citations
45 papers · 245 · h-index 10

Impact in

Papers in

Tomoki Maeda

40 papers receiving 240 citations

Peers

Tomoki Maeda
Comparison fields: 5 of 69
  • Clinical Biochemistry 38
  • Pediatrics, Perinatology and Child Health 74
  • Biochemistry 27
  • Pharmacy 15
  • Endocrine and Autonomic Systems 17
Replace C W Lam with:
C W Lam Hong Kong
Cheryl Evans United States
MA Cleary United Kingdom
Lurdes Lopes Portugal
Satoko Hirano Japan
Hatae Maesaka Japan
Özlem Hergüner Türkiye
Viola Prietsch Germany
Ebru Canda Türkiye
M. Dobos Hungary
Tomoki Maeda relative to C W Lam Hong Kong C W Lam's profile →
Citations per field
00.5×7.5×
C W Lam · 1×
Citations per year

Countries citing papers authored by Tomoki Maeda

Since Specialization
Citations

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

Fields of papers citing papers by Tomoki Maeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tomoki Maeda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tomoki Maeda Line = papers co-authored together Tomoki Maeda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200221
2 200920
3 199919
4 201116
5 201014
6 200013
7 201913
8 199811
9 20169
10 20209
11 20168
12 20088
13 20066
14 20185
15 19985
16 20165
17 20225
18 20215
19 20144
20 20114

About Tomoki Maeda

Tomoki Maeda is a scholar working on Pediatrics, Perinatology and Child Health, Molecular Biology, Pulmonary and Respiratory Medicine, Genetics and Psychiatry and Mental health, having authored 45 papers that have together received 245 indexed citations. Recurring topics across this work include Neonatal and fetal brain pathology (6 papers), Infant Development and Preterm Care (6 papers), Infant Health and Development (5 papers), Neonatal Respiratory Health Research (5 papers), Tracheal and airway disorders (3 papers), Metabolism and Genetic Disorders (3 papers), Pharmacological Effects and Toxicity Studies (3 papers) and Craniofacial Disorders and Treatments (3 papers). The work is most often cited by research in Clinical Biochemistry (38 citations), Pediatrics, Perinatology and Child Health (74 citations), Biochemistry (27 citations), Pharmacy (15 citations) and Endocrine and Autonomic Systems (17 citations). Tomoki Maeda has collaborated with scholars based in Japan, United States and Netherlands. Frequent co-authors include Tatsuro Izumi, Kenji Ihara, Souichi Suenobu, Seigo Korematsu, Hiroaki Miyahara, Ronald L. Ariagno, Majid Mirmiran, T Izumi, Keisuke Sato and Miki Shimizu. Their work appears in journals such as Brain and Development, European Journal of Medical Genetics, Pediatric Neurology, Early Human Development and Scientific Reports.

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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