Masao Igarashi

3.5k citations
92 papers · 2.6k indexed · h-index 27

Masao Igarashi

89 papers receiving 2.4k citations

Peers

Masao Igarashi
Comparison fields: 5 of 102
  • Reproductive Medicine 1.1k
  • Endocrinology, Diabetes and Metabolism 599
  • Agronomy and Crop Science 327
  • Public Health, Environmental and Occupational Health 657
  • Physiology 95
Replace Michael H. Melner with:
Michael H. Melner United States
Anthony J. Zeleznik United States
Scott C. Chappel United States
Michael Knecht United States
D. M. Robertson United Kingdom
J. Th. J. Uilenbroek Netherlands
J. T. Cummins Australia
Albina Jablonka‐Shariff United States
William C. Gorospe United States
Pascale Crépieux France
Masao Igarashi relative to Michael H. Melner United States Michael H. Melner's profile →
Citations per field
00.5×
Michael H. Melner · 1×
Citations per year

Countries citing papers authored by Masao Igarashi

Since Specialization
Citations

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

Fields of papers citing papers by Masao Igarashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20087
2 199831
3 19923
4 199138
5 199157
6 199127
7 199041
8 199021
9 199017
10 199058
11 198922
12 198987
13 198871
14 198758
15
Avian Gonadotropin-Releasing Hormones
19845
16
Zeros of Polynomial and an Estimation of its Accuracy
19823
17 19741
18
CLINICAL AND EPIDEMIOLOGICAL STUDY OF ACUTE RHEUMATIC FEVER
19731
19 197215
20
Electrocardiogram in Hypopotassemia
19621

About Masao Igarashi

Masao Igarashi is a scholar working on Reproductive Medicine, Endocrinology, Diabetes and Metabolism and Numerical Analysis, having authored 92 papers that have together received 2.6k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (20 papers), Ovarian function and disorders (17 papers), Hypothalamic control of reproductive hormones (16 papers), Reproductive Biology and Fertility (15 papers), Reproductive Physiology in Livestock (11 papers), TGF-β signaling in diseases (11 papers), Iterative Methods for Nonlinear Equations (7 papers) and Estrogen and related hormone effects (6 papers). The work is most often cited by research in Reproductive Medicine (1.1k citations), Endocrinology, Diabetes and Metabolism (599 citations) and Agronomy and Crop Science (327 citations). Masao Igarashi has collaborated with scholars based in Japan, United States and Czechia. Frequent co-authors include Yoshihisa Hasegawa, Kaoru Miyamoto, Hisayuki Matsuo, Kenji Kangawa, Yoshito Ibuki, Masaki Fukuda, Kazuto Nakamura, Takashi Minegishi, Kazuyoshi Taya and Hiromu Sugino. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Biochemical and Biophysical Research Communications and Endocrinology.

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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