Kazumasa Hashimoto

1.8k citations
78 papers · 1.4k indexed · h-index 20

Kazumasa Hashimoto

71 papers receiving 1.3k citations

Peers

Kazumasa Hashimoto
Comparison fields: 5 of 110
  • Obstetrics and Gynecology 338
  • Reproductive Medicine 246
  • Endocrine and Autonomic Systems 105
  • Pediatrics, Perinatology and Child Health 300
  • Social Psychology 203
Replace Michael T. Parsons with:
Michael T. Parsons United States
John T. France New Zealand
A. S. McNeilly United Kingdom
Sarah Kimmins Canada
Charles E. Miller United States
Anthony Michael Carter Denmark
Vibeke Dantzer United Kingdom
Tom Hahn Austria
Robert A. Munsick United States
Pancharatnam Jeyasuria United States
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Citations per field
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Citations per year

Countries citing papers authored by Kazumasa Hashimoto

Since Specialization
Citations

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

Fields of papers citing papers by Kazumasa Hashimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20230
2 20213
3 20195
4 201220
5 201117
6 200620
7 200239
8 200129
9 199943
10 199816
11 19975
12 199713
13 199679
14 199577
15 199528
16 199411
17 19924
18
Comparative studies on ordinary and dark muscles of tuna fish [albacore Thunnus alalunga, yellowfin tuna Neothunnus albacora and skipjack Katsuwonus pelamis]
19861
19 19838
20
Utilization of krill as a fish sauce material
19791

About Kazumasa Hashimoto

Kazumasa Hashimoto is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Behavioral Neuroscience, having authored 78 papers that have together received 1.4k indexed citations. Recurring topics across this work include Coral and Marine Ecosystems Studies (6 papers), Marine and fisheries research (5 papers), Prenatal Screening and Diagnostics (5 papers), Reproductive System and Pregnancy (5 papers), Marine Bivalve and Aquaculture Studies (5 papers), Birth, Development, and Health (4 papers), Neonatal Respiratory Health Research (4 papers) and Fetal and Pediatric Neurological Disorders (4 papers). The work is most often cited by research in Obstetrics and Gynecology (338 citations), Reproductive Medicine (246 citations) and Endocrine and Autonomic Systems (105 citations). Kazumasa Hashimoto has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Fumitaka Saji, Chihiro Azuma, Toshikatsu Nobunaga, Koichiro Shimoya, Yuji Murata, Tadashi Kimura, Yasue Kubota, Masayasu Koyama, Masahiko Takemura and Takuro Shibuno. Their work appears in journals such as Gynecologic and Obstetric Investigation, American Journal of Obstetrics and Gynecology, Neurologia medico-chirurgica, The Journal of Clinical Endocrinology & Metabolism and Fetal Diagnosis and Therapy.

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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