Masafumi TETSUKA

1.9k citations
56 papers · 1.6k indexed · h-index 24

Masafumi TETSUKA

54 papers receiving 1.6k citations

Peers

Masafumi TETSUKA
Comparison fields: 5 of 81
  • Reproductive Medicine 592
  • Agronomy and Crop Science 471
  • Public Health, Environmental and Occupational Health 720
  • Behavioral Neuroscience 80
  • Endocrinology, Diabetes and Metabolism 363
Replace Kristine D. Dahl with:
Kristine D. Dahl United States
D. T. Baird United Kingdom
Jerry J. Reeves United States
Neal B. West United States
A. M. Turzillo United States
J. K. Findlay Australia
A. S. McNeilly United Kingdom
C. J. G. Wensing Netherlands
Robert G. Cowan United States
S. Lun New Zealand
Masafumi TETSUKA relative to Kristine D. Dahl United States Kristine D. Dahl's profile →
Citations per field
00.5×5.2×
Kristine D. Dahl · 1×
Citations per year

Countries citing papers authored by Masafumi TETSUKA

Since Specialization
Citations

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

Fields of papers citing papers by Masafumi TETSUKA

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20243
2 20230
3 201515
4 200850
5 200840
6 200734
7 20071
8 200616
9 200621
10 200657
11 200330
12 200224
13 200122
14 200122
15 200113
16 199915
17 199939
18 199987
19 199881
20 1997129

About Masafumi TETSUKA

Masafumi TETSUKA is a scholar working on Agronomy and Crop Science, Reproductive Medicine and Endocrinology, Diabetes and Metabolism, having authored 56 papers that have together received 1.6k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (22 papers), Reproductive Physiology in Livestock (20 papers), Hormonal Regulation and Hypertension (12 papers), Estrogen and related hormone effects (11 papers), Genetic and phenotypic traits in livestock (7 papers), Marine animal studies overview (6 papers), Reproductive System and Pregnancy (6 papers) and Ovarian function and disorders (5 papers). The work is most often cited by research in Reproductive Medicine (592 citations), Agronomy and Crop Science (471 citations) and Public Health, Environmental and Occupational Health (720 citations). Masafumi TETSUKA has collaborated with scholars based in Japan, United Kingdom and Poland. Frequent co-authors include Stephen G. Hillier, Akio Miyamoto, Hamish M. Fraser, Moira Milne, Seizo Hamano, Barana Chaminda Jayawardana, Takashi Shimizu, Alistair Williams, P F Whitelaw and C D Smyth. Their work appears in journals such as International Journal of Molecular Sciences, Endocrinology and Human Reproduction.

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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