Yasuo Fukami

2.2k total citations
72 papers, 1.8k citations indexed

About

Yasuo Fukami is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Reproductive Medicine. According to data from OpenAlex, Yasuo Fukami has authored 72 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Molecular Biology, 26 papers in Public Health, Environmental and Occupational Health and 20 papers in Reproductive Medicine. Recurrent topics in Yasuo Fukami's work include Reproductive Biology and Fertility (25 papers), Sperm and Testicular Function (20 papers) and Protein Kinase Regulation and GTPase Signaling (16 papers). Yasuo Fukami is often cited by papers focused on Reproductive Biology and Fertility (25 papers), Sperm and Testicular Function (20 papers) and Protein Kinase Regulation and GTPase Signaling (16 papers). Yasuo Fukami collaborates with scholars based in Japan, United States and United Kingdom. Yasuo Fukami's co-authors include Tetsushi Iwasaki, Alexander A. Tokmakov, Ken‐ichi Sato, Kenichi Sato, Mamoru Aoto, K. Ogawa, Takashi Nanmori, Takeshi Yasuda, Daisuke Matsuoka and Shigeyuki Yokoyama and has published in prestigious journals such as Journal of Biological Chemistry, Bioinformatics and Development.

In The Last Decade

Yasuo Fukami

72 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yasuo Fukami Japan 25 1.0k 539 472 256 225 72 1.8k
Tetsushi Iwasaki Japan 22 753 0.7× 410 0.8× 372 0.8× 190 0.7× 134 0.6× 56 1.4k
Ken‐ichi Sato Japan 24 659 0.6× 682 1.3× 589 1.2× 210 0.8× 78 0.3× 61 1.5k
Alexander A. Tokmakov Japan 20 724 0.7× 465 0.9× 367 0.8× 192 0.8× 63 0.3× 63 1.3k
Josep Marı́a Estanyol Spain 26 1.3k 1.2× 851 1.6× 1.2k 2.4× 199 0.8× 67 0.3× 41 2.5k
Andrea L. Lewellyn United States 26 1.6k 1.6× 798 1.5× 227 0.5× 1.1k 4.1× 213 0.9× 34 2.2k
Michal Kubelka Czechia 28 1.6k 1.5× 1.5k 2.7× 608 1.3× 541 2.1× 180 0.8× 65 2.4k
Kenneth C. Kleene United States 33 2.0k 1.9× 691 1.3× 1.2k 2.5× 158 0.6× 265 1.2× 55 3.1k
Yueshuai Guo China 28 1.9k 1.8× 679 1.3× 742 1.6× 180 0.7× 55 0.2× 74 2.7k
Gérard Géraud France 24 1.6k 1.5× 387 0.7× 129 0.3× 675 2.6× 205 0.9× 42 2.1k
James E. Shima United States 13 984 0.9× 438 0.8× 664 1.4× 46 0.2× 127 0.6× 16 2.0k

Countries citing papers authored by Yasuo Fukami

Since Specialization
Citations

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

Fields of papers citing papers by Yasuo Fukami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yasuo Fukami

This figure shows the co-authorship network connecting the top 25 collaborators of Yasuo Fukami. A scholar is included among the top collaborators of Yasuo Fukami 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 Yasuo Fukami. Yasuo Fukami 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
1.
Tokmakov, Alexander A., et al.. (2017). Global decay of mRNA is a hallmark of apoptosis in agingXenopuseggs. RNA Biology. 14(3). 339–346. 7 indexed citations
2.
Tokmakov, Alexander A., Atsushi Kurotani, Mikako Shirouzu, Yasuo Fukami, & Shigeyuki Yokoyama. (2013). Bioinformatics Analysis and Optimization of Cell-Free Protein Synthesis. Methods in molecular biology. 1118. 17–33. 8 indexed citations
3.
Tokmakov, Alexander A., Atsushi Kurotani, Tetsuo Takagi, et al.. (2012). Multiple Post-translational Modifications Affect Heterologous Protein Synthesis. Journal of Biological Chemistry. 287(32). 27106–27116. 55 indexed citations
4.
Oka, Masahiro, et al.. (2012). Role and Regulation of STAT3 Phosphorylation at Ser727 in Melanocytes and Melanoma Cells. Journal of Investigative Dermatology. 132(7). 1877–1885. 85 indexed citations
5.
Elias, Sabrina M., Md. Sazzadur Rahman, Saima Shahid, et al.. (2011). Physiology and gene expression of the rice landrace Horkuch under salt stress. Functional Plant Biology. 38(4). 282–292. 22 indexed citations
6.
Tokmakov, Alexander A., Tetsushi Iwasaki, Ken‐ichi Sato, & Yasuo Fukami. (2010). Analysis of signal transduction in cell-free extracts and rafts of Xenopus eggs. Methods. 51(1). 177–182. 9 indexed citations
7.
Oka, Masahiro, Tetsushi Iwasaki, Toshinori Bito, et al.. (2009). 12-O-Tetradecanoylphorbol-13-acetate Inhibits Melanoma Growth by Inactivation of STAT3 through Protein Kinase C-activated Tyrosine Phosphatase(s). Journal of Biological Chemistry. 284(44). 30416–30423. 9 indexed citations
8.
Tokmakov, Alexander A., et al.. (2008). Comparative expression analysis of multiple PDK genes in Xenopus laevis during oogenesis, maturation, fertilization, and early embryogenesis. Gene Expression Patterns. 9(3). 158–165. 4 indexed citations
9.
Sato, Ken‐ichi, Yasuo Fukami, & Bradley J. Stith. (2006). Signal transduction pathways leading to Ca2+ release in a vertebrate model system: Lessons from Xenopus eggs. Seminars in Cell and Developmental Biology. 17(2). 285–292. 43 indexed citations
10.
Hasan, Ahasanul, et al.. (2005). Uroplakin III, a novel Src substrate in Xenopus egg rafts, is a target for sperm protease essential for fertilization. Developmental Biology. 286(2). 483–492. 51 indexed citations
11.
Iwasaki, Tetsushi, Ken‐ichi Sato, Kenichi Yoshino, et al.. (2004). CELL BEHAVIOR DATABASE (1) : ITS CONSTRUCTION AND USAGE IN RESEARCH AND EDUCATION(Cell Biology and Morphology,Abstracts of papers presented at the 75^ Annual Meeting of the Zoological Society of Japan). ZOOLOGICAL SCIENCE. 21(12). 1285. 2 indexed citations
12.
Tokmakov, Alexander A., Tetsushi Iwasaki, Shuji Itakura, et al.. (2004). Regulation of Src kinase activity during Xenopus oocyte maturation. Developmental Biology. 278(2). 289–300. 25 indexed citations
13.
Sato, Kenichi, et al.. (2003). Src‐dependent phosphorylation of the EGF receptor Tyr‐845 mediates Stat‐p21waf1 pathway in A431 cells. Genes to Cells. 8(12). 995–1003. 67 indexed citations
14.
Iwasaki, Tetsushi, et al.. (2002). Towards the molecular dissection of fertilization signaling: Our functional genomic/proteomic strategies. PROTEOMICS. 2(9). 1079–1089. 10 indexed citations
15.
16.
Tokmakov, Alexander A., Kenichi Sato, & Yasuo Fukami. (2001). Calcium oscillations in Xenopus egg cycling extracts. Journal of Cellular Biochemistry. 82(1). 89–97. 14 indexed citations
17.
Sato, Ken‐ichi, Alexander A. Tokmakov, Tetsushi Iwasaki, & Yasuo Fukami. (2000). Tyrosine Kinase-Dependent Activation of Phospholipase Cγ Is Required for Calcium Transient in Xenopus Egg Fertilization. Developmental Biology. 224(2). 453–469. 111 indexed citations
18.
Tokmakov, Alexander A., Setsuko Sahara, Kenichi Sato, Eisuke Nishida, & Yasuo Fukami. (1996). Phosphoregulatory Tyrosine of Xenopus Mitogen‐Activated Protein Kinase is out of the Reach of the Enzyme Catalytic Center After Autophosphorylation. European Journal of Biochemistry. 241(2). 322–329. 12 indexed citations
19.
Sato, Ken‐ichi, Mamoru Aoto, Kiyotoshi Mori, et al.. (1996). Purification and Characterization of a Src-related p57 Protein-tyrosine Kinase from Xenopus Oocytes. Journal of Biological Chemistry. 271(22). 13250–13257. 67 indexed citations
20.

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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