Hanako Bai

72 papers receiving 900 citations

Peers

Hanako Bai
Comparison fields: 5 of 87
  • Agronomy and Crop Science 272
  • Immunology 346
  • Reproductive Medicine 138
  • Obstetrics and Gynecology 85
  • Public Health, Environmental and Occupational Health 238
Replace Fernando Silveira Mesquita with:
Fernando Silveira Mesquita Brazil
Solomon Mamo Ireland
Paula Tríbulo United States
Madia Charlier France
Ülle Jaakma Estonia
Ahmed Z. Balboula United States
Leslie A. MacLaren Canada
Charis O Hogg United Kingdom
João Francisco Coelho de Oliveira Brazil
António Galvão Poland
Hanako Bai relative to Fernando Silveira Mesquita Brazil Fernando Silveira Mesquita's profile →
Citations per field
00.5×1.5×2.1×
Fernando Silveira Mesquita · 1×
Citations per year

Countries citing papers authored by Hanako Bai

Since Specialization
Citations

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

Fields of papers citing papers by Hanako Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20240
4 20243
5 20233
6 20233
7 20226
8 20212
9 20215
10 20217
11 20216
12 20217
13 20207
14 20205
15 201925
16 201821
17 201328
18 201218
19 200949
20
[Deaths due to heat waves during the summer of 1994 in Osaka Prefecture, Japan].
199518

About Hanako Bai

Hanako Bai is a scholar working on Agronomy and Crop Science, Reproductive Medicine, Aging, Immunology and Public Health, Environmental and Occupational Health, having authored 76 papers that have together received 908 indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (25 papers), Reproductive Biology and Fertility (20 papers), Reproductive System and Pregnancy (20 papers), Pluripotent Stem Cells Research (14 papers), Genetic and phenotypic traits in livestock (8 papers), Epigenetics and DNA Methylation (8 papers), Animal Genetics and Reproduction (8 papers) and Congenital heart defects research (6 papers). The work is most often cited by research in Agronomy and Crop Science (272 citations), Immunology (346 citations), Reproductive Medicine (138 citations), Obstetrics and Gynecology (85 citations) and Public Health, Environmental and Occupational Health (238 citations). Hanako Bai has collaborated with scholars based in Japan, United States and Egypt. Frequent co-authors include Kazuhiko Imakawa, Masashi Takahashi, Toshihiro Sakurai, Manabu Kawahara, Atsushi Ideta, James D. Godkin, Yoshito Aoyagi, Toshihiro Konno, Rulan Bai and Kiyoshi Okuda. Their work appears in journals such as Journal of Reproduction and Development, Animal Science Journal, Biology of Reproduction, Biochemical and Biophysical Research Communications and Theriogenology.

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

Rankless by CCL
2026