Fumie Sakai

2.4k citations
27 papers · 2.0k indexed · h-index 18
  • Physiology top 0.2%
    • Reproductive biology and impacts on aquatic species 9
    • Sperm and Testicular Function 4
  • Genetics top 1%
    • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 12
    • Animal Genetics and Reproduction 7
    • Lipid metabolism and biosynthesis 2
    • Sexual Differentiation and Disorders 3
    • RNA Research and Splicing 3
    • Analytical Chemistry and Chromatography 2

Fumie Sakai

27 papers receiving 1.9k citations

Peers

Fumie Sakai
Comparison fields: 5 of 86
  • Physiology 885
  • Reproductive Medicine 393
  • Genetics 1.2k
  • Biochemistry 183
  • Aquatic Science 150
Replace Yoji Yamamoto with:
Yoji Yamamoto Japan
Lisa M. Mehlmann United States
Gabriella Chieffi Baccari Italy
Alex McDougall France
Margaret C. Pace United States
Takashi Todo Japan
Hideki Ohtake Japan
Adriana Rodríguez‐Marí United States
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Fumie Sakai relative to Yoji Yamamoto Japan Yoji Yamamoto's profile →
Citations per field
00.5×4.3×
Yoji Yamamoto · 1×
Citations per year

Countries citing papers authored by Fumie Sakai

Since Specialization
Citations

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

Fields of papers citing papers by Fumie Sakai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201445
2 201386
3 2012194
4 20124
5 2010143
6 200811
7 200818
8 2007338
9 2007126
10 200641
11 200525
12 200510
13 200595
14 200249
15 200256
16 200031
17 199731
18 199590
19 197027
20 19691

About Fumie Sakai

Fumie Sakai is a scholar working on Physiology, Reproductive Medicine and Genetics, having authored 27 papers that have together received 2.0k indexed citations. Recurring topics across this work include Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (12 papers), Reproductive biology and impacts on aquatic species (9 papers), Animal Genetics and Reproduction (7 papers), Sperm and Testicular Function (4 papers), Sexual Differentiation and Disorders (3 papers), RNA Research and Splicing (3 papers), Analytical Chemistry and Chromatography (2 papers) and Lipid metabolism and biosynthesis (2 papers). The work is most often cited by research in Physiology (885 citations), Reproductive Medicine (393 citations) and Genetics (1.2k citations). Fumie Sakai has collaborated with scholars based in Japan, China and India. Frequent co-authors include Yoshitaka Nagahama, Tohru Kobayashi, Bindhu Paul‐Prasanth, Shigeho Ijiri, Deshou Wang, Kataaki Okubo, Ken-ichirou Morohashi, Masaru Nakamura, Hidefumi Orii and Linyan Zhou. Their work appears in journals such as Endocrinology, Biochemical and Biophysical Research Communications, Tetrahedron Letters, Analytica Chimica Acta and Fish Physiology and Biochemistry.

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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