Go Tajima

1.0k citations
57 papers · 648 · h-index 15

Impact in

Papers in

Go Tajima

55 papers receiving 624 citations

Peers

Go Tajima
Comparison fields: 5 of 65
  • Clinical Biochemistry 296
  • Physiology 172
  • Pediatrics, Perinatology and Child Health 93
  • Rheumatology 65
  • Hepatology 28
Replace Mireia del Toro with:
Mireia del Toro Spain
M. P. Champion United Kingdom
Susan Winter United States
Atsuko Noguchi Japan
Leyla Tümer Türkiye
Mark Sharrard United Kingdom
J H Walter United Kingdom
Helen Mundy United Kingdom
Daniela Skladal Austria
Hélène Ogier France
Go Tajima relative to Mireia del Toro Spain Mireia del Toro's profile →
Citations per field
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Mireia del Toro · 1×
Citations per year

Countries citing papers authored by Go Tajima

Since Specialization
Citations

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

Fields of papers citing papers by Go Tajima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Go Tajima, 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 Go Tajima Line = papers co-authored together Go Tajima links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202048
2 201347
3 200441
4 201033
5 200928
6 200826
7 200523
8 200822
9 201021
10 201021
11 201020
12 201619
13 202117
14 201414
15 201714
16 201514
17 201113
18
Clinical transplantation of a tissue-engineered airway (vol 372, pg 2023, 2008)
200912
19 201812
20 201512

About Go Tajima

Go Tajima is a scholar working on Clinical Biochemistry, Molecular Biology, Pediatrics, Perinatology and Child Health, Physiology and Rheumatology, having authored 57 papers that have together received 648 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (33 papers), Mitochondrial Function and Pathology (13 papers), Neonatal Health and Biochemistry (10 papers), Folate and B Vitamins Research (9 papers), Lysosomal Storage Disorders Research (6 papers), Biochemical and Molecular Research (5 papers), Diet and metabolism studies (4 papers) and Muscle metabolism and nutrition (3 papers). The work is most often cited by research in Clinical Biochemistry (296 citations), Physiology (172 citations), Pediatrics, Perinatology and Child Health (93 citations), Rheumatology (65 citations) and Hepatology (28 citations). Go Tajima has collaborated with scholars based in Japan, United States and Iran. Frequent co-authors include Yosuke Shigematsu, Nobuo Sakura, Masao Kobayashi, Ikue Hata, Hiroaki Ono, Keiichi Hara, Yutaka Nishimura, Satoshi Okada, Nobutsune Ishikawa and Motomichi Kosuga. Their work appears in journals such as International Journal of Neonatal Screening, Molecular Genetics and Metabolism, Journal of Inherited Metabolic Disease, Journal of Chromatography B and Pediatric Research.

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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