Noriko Funayama

3.7k total citations
31 papers, 2.8k citations indexed

About

Noriko Funayama is a scholar working on Molecular Biology, Biotechnology and Paleontology. According to data from OpenAlex, Noriko Funayama has authored 31 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 13 papers in Biotechnology and 7 papers in Paleontology. Recurrent topics in Noriko Funayama's work include Marine Sponges and Natural Products (12 papers), Marine Ecology and Invasive Species (7 papers) and Marine Invertebrate Physiology and Ecology (7 papers). Noriko Funayama is often cited by papers focused on Marine Sponges and Natural Products (12 papers), Marine Ecology and Invasive Species (7 papers) and Marine Invertebrate Physiology and Ecology (7 papers). Noriko Funayama collaborates with scholars based in Japan, United States and France. Noriko Funayama's co-authors include Barry M. Gumbiner, François Fagotto, Akira Nagafuchi, Shöichiro Tsukita, Pierre D. McCrea, Kiyokazu Agata, Ursula Glück, Yoshiko Takahashi, Naruki Sato and Sachiko Tsukita and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Cell Biology and Development.

In The Last Decade

Noriko Funayama

29 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Noriko Funayama Japan 22 1.7k 525 385 339 314 31 2.8k
Katja Seipel Switzerland 30 2.3k 1.4× 472 0.9× 87 0.2× 276 0.8× 200 0.6× 85 3.4k
Suat Özbek Germany 32 1.6k 1.0× 676 1.3× 281 0.7× 1.3k 3.8× 524 1.7× 68 3.6k
Gerald H. Thomsen United States 30 5.8k 3.4× 780 1.5× 96 0.2× 337 1.0× 291 0.9× 48 6.7k
Jürg Spring Switzerland 19 2.9k 1.7× 1.1k 2.2× 50 0.1× 319 0.9× 221 0.7× 22 4.2k
Masanori Taira Japan 42 5.0k 2.9× 728 1.4× 29 0.1× 115 0.3× 288 0.9× 133 6.0k
Tetsuya Okajima Japan 30 2.8k 1.6× 619 1.2× 152 0.4× 33 0.1× 30 0.1× 97 3.4k
Yoshiko Takahashi Japan 34 2.7k 1.6× 554 1.1× 50 0.1× 43 0.1× 88 0.3× 111 3.9k
William S. Modi United States 31 1.7k 1.0× 342 0.7× 48 0.1× 97 0.3× 46 0.1× 65 3.7k
Emmanuelle Renard France 22 855 0.5× 125 0.2× 541 1.4× 578 1.7× 452 1.4× 45 2.0k
Astrid Terry United Kingdom 12 1.3k 0.8× 159 0.3× 264 0.7× 555 1.6× 329 1.0× 16 2.3k

Countries citing papers authored by Noriko Funayama

Since Specialization
Citations

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

Fields of papers citing papers by Noriko Funayama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Noriko Funayama

This figure shows the co-authorship network connecting the top 25 collaborators of Noriko Funayama. A scholar is included among the top collaborators of Noriko Funayama 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 Noriko Funayama. Noriko Funayama 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.
Funayama, Noriko. (2019). Produce, carry/position, and connect: morphogenesis using rigid materials. Current Opinion in Genetics & Development. 57. 91–97.
2.
Funayama, Noriko. (2018). The cellular and molecular bases of the sponge stem cell systems underlying reproduction, homeostasis and regeneration. The International Journal of Developmental Biology. 62(6-7-8). 513–525. 33 indexed citations
3.
Matsumoto, K., et al.. (2018). Methods for Staging Pupal Periods and Measurement of Wing Pigmentation of <em>Drosophila guttifera</em>. Journal of Visualized Experiments. 8 indexed citations
4.
Alié, Alexandre, et al.. (2016). Conserved expression of vertebrate microvillar gene homologs in choanocytes of freshwater sponges. EvoDevo. 7(1). 13–13. 34 indexed citations
5.
Alié, Alexandre, Tetsutaro Hayashi, Michaël Manuel, et al.. (2015). The ancestral gene repertoire of animal stem cells. Proceedings of the National Academy of Sciences. 112(51). E7093–100. 75 indexed citations
6.
Nakayama, Sohei, Kurato Mohri, Chiaki Kojima, et al.. (2015). Dynamic Transport and Cementation of Skeletal Elements Build Up the Pole-and-Beam Structured Skeleton of Sponges. Current Biology. 25(19). 2549–2554. 20 indexed citations
7.
Bosch, Thomas C. G., Maja Adamska, René Augustin, et al.. (2014). How do environmental factors influence life cycles and development? An experimental framework for early‐diverging metazoans. BioEssays. 36(12). 1185–1194. 37 indexed citations
8.
Sakamaki, Kazuhiro, Kouhei Shimizu, Hiroaki Iwata, et al.. (2014). The Apoptotic Initiator Caspase-8: Its Functional Ubiquity and Genetic Diversity during Animal Evolution. Molecular Biology and Evolution. 31(12). 3282–3301. 26 indexed citations
9.
Okamoto, Kazuko, et al.. (2012). The active stem cell specific expression of sponge Musashi homolog EflMsiA suggests its involvement in maintaining the stem cell state. Mechanisms of Development. 129(1-4). 24–37. 20 indexed citations
10.
11.
Funayama, Noriko. (2010). The stem cell system in demosponges: Insights into the origin of somatic stem cells. Development Growth & Differentiation. 52(1). 1–14. 77 indexed citations
12.
Funayama, Noriko, et al.. (2010). Piwi expression in archeocytes and choanocytes in demosponges: insights into the stem cell system in demosponges. Evolution & Development. 12(3). 275–287. 95 indexed citations
13.
14.
Miller, David J., Georg Hemmrich, Eldon E. Ball, et al.. (2007). The innate immune repertoire in Cnidaria - ancestral complexity and stochastic gene loss. Genome biology. 8(4). R59–R59. 299 indexed citations
15.
Agata, Kiyokazu, et al.. (2006). Two different evolutionary origins of stem cell systems and their molecular basis. Seminars in Cell and Developmental Biology. 17(4). 503–509. 57 indexed citations
16.
Funayama, Noriko, Shigehiro Kuraku, Katsuaki Takechi, et al.. (2005). Isolation of Ef silicatein and Ef lectin as Molecular Markers Sclerocytes and Cells Involved in Innate Immunity in the Freshwater Sponge Ephydatia fluviatilis. ZOOLOGICAL SCIENCE. 22(10). 1113–1122. 46 indexed citations
17.
Funayama, Noriko, et al.. (2005). Isolation of the choanocyte in the fresh water sponge, Ephydatia fluviatilis and its lineage marker, Ef annexin. Development Growth & Differentiation. 47(4). 243–253. 54 indexed citations
18.
Fagotto, François, Noriko Funayama, Ursula Glück, & Barry M. Gumbiner. (1996). Binding to cadherins antagonizes the signaling activity of beta-catenin during axis formation in Xenopus.. The Journal of Cell Biology. 132(6). 1105–1114. 285 indexed citations
19.
Funayama, Noriko, et al.. (1993). Nucleotide sequence and characterization of the traABCD region of IncI1 plasmid R64. Journal of Bacteriology. 175(16). 5035–5042. 36 indexed citations
20.
Sato, Naruki, et al.. (1992). A gene family consisting of ezrin, radixin and moesin Its specific localization at actin filament/plasma membrane association sites. Journal of Cell Science. 103(1). 131–143. 299 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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