Jun Kunikata

12 papers receiving 82 citations

Peers

Jun Kunikata
Comparison fields: 5 of 38
  • Health Informatics 2
  • Obstetrics and Gynecology 6
  • Pediatrics, Perinatology and Child Health 13
  • Surgery 25
  • Family Practice 1
Replace Carmen Vecchiarelli with:
Carmen Vecchiarelli Argentina
Davide Martinetti Italy
Anita Saran United States
Mireia Blé Spain
Meredith L. Birsner United States
Gordana Miloševski‐Lomić Serbia
Cécile Dumaine France
Álvaro García‐Osuna Spain
Srinivas Denduluri United States
Augusto César Soares dos Santos Brazil
Jun Kunikata relative to Carmen Vecchiarelli Argentina Carmen Vecchiarelli's profile →
Citations per field
00.5×10×15×
Carmen Vecchiarelli · 1×
Citations per year

Countries citing papers authored by Jun Kunikata

Since Specialization
Citations

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

Fields of papers citing papers by Jun Kunikata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 202122
2 202212
3 201810
4 201410
5 20216
6 20224
7 20124
8 20124
9 20214
10 20213
11 20212
12 20161

About Jun Kunikata

Jun Kunikata is a scholar working on Pediatrics, Perinatology and Child Health, Surgery, Epidemiology, Genetics and Cardiology and Cardiovascular Medicine, having authored 12 papers that have together received 82 indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (2 papers), Neonatal Health and Biochemistry (2 papers), Neonatal and fetal brain pathology (2 papers), Endometrial and Cervical Cancer Treatments (1 paper), Cardiovascular and exercise physiology (1 paper), Folate and B Vitamins Research (1 paper), Optical Imaging and Spectroscopy Techniques (1 paper) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (1 paper). The work is most often cited by research in Health Informatics (2 citations), Obstetrics and Gynecology (6 citations), Pediatrics, Perinatology and Child Health (13 citations), Surgery (25 citations) and Family Practice (1 citation). Jun Kunikata has collaborated with scholars based in Japan. Frequent co-authors include Takashi Iwase, Tetsuo Minamino, Takashi Kusaka, Hitoshi Okada, Susumu Itoh, Ichiro Matsumoto, Hideki Kobara, Kenji Yorita, Yuichiro Takagi and Noriko Nishiyama. Their work appears in journals such as Scientific Reports, Annals of Clinical Biochemistry International Journal of Laboratory Medicine, Geriatrics and gerontology international, Journal of Atherosclerosis and Thrombosis and Journal of Clinical Medicine.

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.

Explore authors with similar magnitude of impact