Seiji Katagiri

1.5k total citations
86 papers, 1.1k citations indexed

About

Seiji Katagiri is a scholar working on Public Health, Environmental and Occupational Health, Agronomy and Crop Science and Reproductive Medicine. According to data from OpenAlex, Seiji Katagiri has authored 86 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Public Health, Environmental and Occupational Health, 39 papers in Agronomy and Crop Science and 33 papers in Reproductive Medicine. Recurrent topics in Seiji Katagiri's work include Reproductive Biology and Fertility (51 papers), Reproductive Physiology in Livestock (38 papers) and Ovarian function and disorders (22 papers). Seiji Katagiri is often cited by papers focused on Reproductive Biology and Fertility (51 papers), Reproductive Physiology in Livestock (38 papers) and Ovarian function and disorders (22 papers). Seiji Katagiri collaborates with scholars based in Japan, Canada and United Kingdom. Seiji Katagiri's co-authors include Yoshiyuki Takahashi, Masashi Nagano, Yojiro Yanagawa, Masaharu MORIYOSHI, Kenichiro Sakaguchi, Akiko Ishikawa, Young Soo Moon, Basil Ho Yuen, Shogo Higaki and Etsuro Yamaha and has published in prestigious journals such as Scientific Reports, Fertility and Sterility and Reproduction.

In The Last Decade

Seiji Katagiri

84 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Seiji Katagiri Japan 18 644 402 369 342 262 86 1.1k
G. Boe-Hansen Australia 20 635 1.0× 768 1.9× 375 1.0× 493 1.4× 173 0.7× 49 1.3k
Adrienne E. Crosier United States 19 732 1.1× 429 1.1× 335 0.9× 347 1.0× 362 1.4× 53 1.2k
Joanna Maria Gonçalves Souza‐Fabjan Brazil 20 849 1.3× 454 1.1× 758 2.1× 422 1.2× 155 0.6× 138 1.3k
Julian A. Skidmore United Arab Emirates 23 682 1.1× 711 1.8× 736 2.0× 348 1.0× 246 0.9× 64 1.6k
Edita Šoštarić Netherlands 16 664 1.0× 812 2.0× 261 0.7× 227 0.7× 275 1.0× 17 1.2k
J.E. Bruemmer United States 25 808 1.3× 797 2.0× 804 2.2× 383 1.1× 295 1.1× 97 1.8k
Manuel García‐Herreros Ecuador 19 680 1.1× 738 1.8× 241 0.7× 369 1.1× 155 0.6× 60 1.1k
Marie Saint‐Dizier France 24 762 1.2× 568 1.4× 511 1.4× 356 1.0× 370 1.4× 72 1.4k
Peter Daels United States 23 416 0.6× 346 0.9× 988 2.7× 291 0.9× 178 0.7× 99 1.5k
Vicente José de Figueirêdo Freitas Brazil 18 575 0.9× 365 0.9× 487 1.3× 425 1.2× 288 1.1× 114 1.1k

Countries citing papers authored by Seiji Katagiri

Since Specialization
Citations

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

Fields of papers citing papers by Seiji Katagiri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seiji Katagiri

This figure shows the co-authorship network connecting the top 25 collaborators of Seiji Katagiri. A scholar is included among the top collaborators of Seiji Katagiri based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Seiji Katagiri. Seiji Katagiri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Sakamoto, Kentaro Q., et al.. (2022). Relationship between frame rates and subpopulation structure of bovine sperm divided by their motility analyzed by a computer‐assisted sperm analysis system. Animal Science Journal. 93(1). e13796–e13796. 3 indexed citations
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Sakaguchi, Kenichiro, et al.. (2019). Relationships between the antral follicle count, steroidogenesis, and secretion of follicle-stimulating hormone and anti-Müllerian hormone during follicular growth in cattle. Reproductive Biology and Endocrinology. 17(1). 88–88. 22 indexed citations
6.
Matsumoto, Naoya, et al.. (2019). Monitoring follicular dynamics using ultrasonography in captive brown bears (Ursus arctos) during the breeding season. Theriogenology. 140. 164–170. 2 indexed citations
7.
Sakaguchi, Kenichiro, et al.. (2018). Effect of astaxanthin addition to an individual culture system for in vitro maturation of bovine oocytes on accumulation of reactive oxygen species and mitochondrial activity. Jūigaku kenkyū/Japanese journal of veterinary research. 66(4). 325–329. 3 indexed citations
8.
Yanagawa, Yojiro, et al.. (2015). Fertilizability of oocytes derived from Holstein cows having different antral follicle counts in ovaries. Animal Reproduction Science. 163. 172–178. 16 indexed citations
9.
Yanagawa, Yojiro, Yoshiyuki Takahashi, Seiji Katagiri, et al.. (2014). Effects of ovarian storage condition on in vitro maturation of Hokkaido sika deer (Cervus nippon yesoensis) oocytes.. Hokkaido University Collection of Scholarly and Academic Papers (Hokkaido University). 62(4). 187–92. 6 indexed citations
10.
Katagiri, Seiji. (2011). A new approach to repeat breeding in cows: treatments targeting the endometrial growth factor-cytokine network.. 41. 51–53. 2 indexed citations
11.
Katagiri, Seiji & Yousuke Yamamoto. (2008). Technology of Precise Orbit Determination. 44(4). 401–409. 3 indexed citations
12.
Yanagawa, Yojiro, Yukiko Matsuura, Masatsugu Suzuki, Seiji Katagiri, & Toshio Tsubota. (2008). Immunohistochemical localization of the estrogen receptor alpha (ERalpha) and progesterone receptor (PR) in the uterus of sika deer (Cervus nippon) during pregnancy.. PubMed. 56(3). 139–49. 3 indexed citations
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Nakamura, R., et al.. (2007). Precise Orbit Determination for ALOS. NASA STI Repository (National Aeronautics and Space Administration). 11 indexed citations
15.
Nagano, Masashi, Seiji Katagiri, & Yoshiyuki Takahashi. (2006). Relationship between bovine oocyte morphology and in vitro developmental potential. Zygote. 14(1). 53–61. 79 indexed citations
16.
Hirayama, Hiroki, Seiji Katagiri, Soichi KAGEYAMA, et al.. (2006). Rapid sex chromosomal chimerism analysis in heterosexual twin female calves by Loop-mediated Isothermal Amplification. Animal Reproduction Science. 101(1-2). 38–44. 16 indexed citations
17.
Katagiri, Seiji & Yoshiyuki Takahashi. (2005). Potential relationship between normalization of endometrial epidermal growth factor profile and restoration of fertility in repeat breeder cows. Animal Reproduction Science. 95(1-2). 54–66. 23 indexed citations
18.
Hirayama, Hiroki, Soichi KAGEYAMA, Satoru Moriyasu, et al.. (2004). Rapid sexing of bovine preimplantation embryos using loop-mediated isothermal amplification. Theriogenology. 62(5). 887–896. 68 indexed citations
19.
Ma, Sai, et al.. (1994). Chromosome investigation in in vitro fertilization failure. Journal of Assisted Reproduction and Genetics. 11(9). 445–451. 21 indexed citations
20.
Katagiri, Seiji, et al.. (1994). Separation of a 170‐K Delayed‐Implantation‐Associated Protein With Inhibitory Activity on Trophoblast Outgrowth and RNA Synthesis by Mouse Embryo. American Journal of Reproductive Immunology. 31(2-3). 141–150. 2 indexed citations

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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