TAKASHI HACHIYA

677 citations
69 papers · 543 indexed · h-index 14

TAKASHI HACHIYA

64 papers receiving 513 citations

Peers

TAKASHI HACHIYA
Comparison fields: 5 of 80
  • Endocrinology, Diabetes and Metabolism 278
  • Reproductive Medicine 45
  • Radiology, Nuclear Medicine and Imaging 108
  • Physiology 90
  • Internal Medicine 13
Replace F.A.C. le Noble with:
F.A.C. le Noble Netherlands
Jude Abadie United States
J. Beacham United Kingdom
R Tsuda Japan
Concepción González Spain
Menachem S. Shapiro Israel
Hiroyuki Kurahachi Japan
M. Yanagisawa Japan
M. Lundqvist Sweden
Václav Hána Czechia
TAKASHI HACHIYA relative to F.A.C. le Noble Netherlands F.A.C. le Noble's profile →
Citations per field
00.5×4.3×
F.A.C. le Noble · 1×
Citations per year

Countries citing papers authored by TAKASHI HACHIYA

Since Specialization
Citations

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

Fields of papers citing papers by TAKASHI HACHIYA

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200824
2 20082
3 20044
4
Beneficial effect of balloon-induced pulsatility on brain oxygenation in hypothermic cardiopulmonary bypass.
20019
5 199717
6 19975
7 19963
8 199621
9 19959
10 199317
11 199219
12 19927
13 19913
14 19905
15 19904
16 19874
17
Protection of the ischemic myocardium with calcium antagonistic drugs.
19834
18 19782
19 19753
20 19729

About TAKASHI HACHIYA

TAKASHI HACHIYA is a scholar working on Endocrinology, Diabetes and Metabolism, Reproductive Medicine and Radiology, Nuclear Medicine and Imaging, having authored 69 papers that have together received 543 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (28 papers), Growth Hormone and Insulin-like Growth Factors (14 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Radiopharmaceutical Chemistry and Applications (5 papers), Neuropeptides and Animal Physiology (5 papers), Hypothalamic control of reproductive hormones (5 papers), Thyroid Cancer Diagnosis and Treatment (5 papers) and Erythrocyte Function and Pathophysiology (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (278 citations), Reproductive Medicine (45 citations) and Radiology, Nuclear Medicine and Imaging (108 citations). TAKASHI HACHIYA has collaborated with scholars based in Japan, Canada and United States. Frequent co-authors include Yukio Ochi, Manabu Yoshimura, Andrew P. Blaber, Mitsuru Saito, Hamao Ijichi, Tsuyoshi Kouki, Akikazu Takada, Y. Kajita, Yumiko Takada and Atsuo Nagata. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Biochemical and Biophysical Research Communications and Journal of Applied Physiology.

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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