Jun Mishina

768 citations
19 papers · 576 · h-index 13

Impact in

Papers in

Jun Mishina

19 papers receiving 548 citations

Peers

Jun Mishina
Comparison fields: 5 of 66
  • Pediatrics, Perinatology and Child Health 276
  • Endocrine and Autonomic Systems 82
  • Obstetrics and Gynecology 75
  • Pulmonary and Respiratory Medicine 287
  • Hepatology 52
Replace Peter Schreyer with:
Peter Schreyer Israel
Ayşe Engin Arısoy Türkiye
Alice G. Beard United States
Shu‐Chi Mu Taiwan
Daksha M Patel United States
Rachel Porat United States
Alfred L. Gest United States
Kyo Sun Kim South Korea
Thomas Havranek United States
S Thirupuram India
Jun Mishina relative to Peter Schreyer Israel Peter Schreyer's profile →
Citations per field
00.5×5.3×
Peter Schreyer · 1×
Citations per year

Countries citing papers authored by Jun Mishina

Since Specialization
Citations

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

Fields of papers citing papers by Jun Mishina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 1993126
2 200683
3 198265
4 199542
5 201141
6 201135
7 199928
8 199125
9 200823
10 201122
11 200720
12 199119
13 201214
14 201510
15 20088
16 20045
17 19924
18
Follow-up study of neonatal hypoglycemia.
19974
19
Neonatal hypoglycemia in infants with intrauterine growth retardation due to pregnancy-induced hypertension.
19972

About Jun Mishina

Jun Mishina is a scholar working on Pediatrics, Perinatology and Child Health, Pulmonary and Respiratory Medicine, Endocrinology, Diabetes and Metabolism, Nutrition and Dietetics and Molecular Biology, having authored 19 papers that have together received 576 indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (8 papers), Birth, Development, and Health (6 papers), Neonatal and fetal brain pathology (4 papers), Infant Development and Preterm Care (4 papers), Pregnancy and preeclampsia studies (3 papers), Infant Nutrition and Health (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers) and Hepatitis B Virus Studies (2 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (276 citations), Endocrine and Autonomic Systems (82 citations), Obstetrics and Gynecology (75 citations), Pulmonary and Respiratory Medicine (287 citations) and Hepatology (52 citations). Jun Mishina has collaborated with scholars based in Japan and Denmark. Frequent co-authors include Hiroshi Tada, Yumi Kono, Satoshi Kusuda, Hiroshi Nishida, Hajime Togari, Masanori Fujimura, Naohiro Yonemoto, Yuko HIROHATA, Kazuo Itabashi and Kazuhisa Inukai. Their work appears in journals such as Early Human Development, Hormone Research in Paediatrics, Biological Trace Element Research, Journal of Perinatal Medicine and PEDIATRICS.

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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