Nami Yabuki

1.3k total citations
19 papers, 831 citations indexed

About

Nami Yabuki is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Nami Yabuki has authored 19 papers receiving a total of 831 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Oncology and 3 papers in Genetics. Recurrent topics in Nami Yabuki's work include Fungal and yeast genetics research (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Drug Transport and Resistance Mechanisms (3 papers). Nami Yabuki is often cited by papers focused on Fungal and yeast genetics research (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Drug Transport and Resistance Mechanisms (3 papers). Nami Yabuki collaborates with scholars based in Japan, United States and Australia. Nami Yabuki's co-authors include Kunio Kitada, Hiromichi Terashima, Kenji Hamada, Mikio Arisawa, Hiroshi Ashihara, Koji Kitada, Yasuhiro Miki, Takanori Ishida, Hironobu Sasano and Rie Shibuya and has published in prestigious journals such as Cancer Research, Journal of Bacteriology and Phytochemistry.

In The Last Decade

Nami Yabuki

19 papers receiving 794 citations

Peers

Nami Yabuki

ONCOL

GENET

Andrew S. Goldsborough United States

Stephen E. Rundlett United States

Kodai Hara Japan

Moı̈se Pinto France

Naomi Haga Japan

Ireos Filipuzzi Switzerland

Hyang‐Sook Yoo South Korea

Stephan Miller United States

Sukesh Voruganti United States

Robert R. Lavieri United States

Andrew S. Goldsborough United States

Nami Yabuki

428 ×0.7

170 ×1.0

ONCOL

71 ×0.6

110 ×0.9

GENET

71 ×0.7

Citations per year, relative to Nami Yabuki Nami Yabuki (= 1×) peers Andrew S. Goldsborough

Countries citing papers authored by Nami Yabuki

Since Specialization

Citations

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

Fields of papers citing papers by Nami Yabuki

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nami Yabuki

This figure shows the co-authorship network connecting the top 25 collaborators of Nami Yabuki. A scholar is included among the top collaborators of Nami Yabuki 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 Nami Yabuki. Nami Yabuki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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19 of 19 papers shown

Yano, Mariko, Shunsuke Ito, Tomochika Matsushita, et al.. (2023). Rapid in vitro assessment of the immunogenicity potential of engineered antibody therapeutics through detection of CD4 ⁺ T cell interleukin-2 secretion. mAbs. 15(1). 2253570–2253570. 3 indexed citations

Yamazaki, Masaki, Nami Yabuki, Yasunori Suzuki, et al.. (2018). PAXgene-fixed paraffin-embedded sample is applicable to laser capture microdissection with well-balanced RNA quality and tissue morphology. Journal of Toxicologic Pathology. 31(3). 213–220. 1 indexed citations

Nagano, Kohji, et al.. (2011). Distinct cell surface proteome profiling by biotin labeling and glycoprotein capturing. Journal of Proteomics. 74(10). 1985–1993. 12 indexed citations

Nagano, Kohji, Takashi Shinkawa, Nami Yabuki, et al.. (2010). Integration of proteomic analyses to monitor the activity status of phosphorylation signaling. Journal of Proteomics. 74(3). 319–326. 5 indexed citations

Yabuki, Nami, Kiyoaki Sakata, Tomoaki Yamasaki, et al.. (2007). Gene amplification and expression in lung cancer cells with acquired paclitaxel resistance. Cancer Genetics and Cytogenetics. 173(1). 1–9. 58 indexed citations

Miki, Yasuhiro, Colin D. Clyne, Takashi Suzuki, et al.. (2006). Immunolocalization of liver receptor homologue-1 (LRH-1) in human breast carcinoma: Possible regulator of in situ steroidogenesis. Cancer Letters. 244(1). 24–33. 43 indexed citations

Miki, Yasuhiro, Takashi Suzuki, Kunio Kitada, et al.. (2006). Expression of the Steroid and Xenobiotic Receptor and Its Possible Target Gene, Organic Anion Transporting Polypeptide-A, in Human Breast Carcinoma. Cancer Research. 66(1). 535–542. 106 indexed citations

Terashima, Hiromichi, Satoshi Fukuchi, Kenta Nakai, et al.. (2002). Sequence-based approach for identification of cell wall proteins in Saccharomyces cerevisiae. Current Genetics. 40(5). 311–316. 19 indexed citations

Yabuki, Nami, Hiromichi Terashima, & Kunio Kitada. (2002). Mapping of early firing origins on a replication profile of budding yeast. Genes to Cells. 7(8). 781–789. 197 indexed citations

10.

Nishizawa, Masafumi, et al.. (2001). Pho85 kinase, a yeast cyclin-dependent kinase, regulates the expression ofUGP1 encoding UDP-glucose pyrophosphorylase. Yeast. 18(3). 239–249. 12 indexed citations

11.

Terashima, Hiromichi, Nami Yabuki, Mikio Arisawa, Kenji Hamada, & Koji Kitada. (2000). Up-regulation of genes encoding glycosylphosphatidylinositol (GPI)-attached proteins in response to cell wall damage caused by disruption of FKS1 in Saccharomyces cerevisiae. Molecular and General Genetics MGG. 264(1-2). 64–74. 76 indexed citations

12.

Yabuki, Nami, et al.. (1999). Application of homogeneous time-resolved fluorescence (HTRFTM) to monitor poly-ubiquitination of wild-type p53.. PubMed. 2(5). 279–87. 21 indexed citations

13.

Yabuki, Nami, et al.. (1999). Application of Homogeneous Time-Resolved Fluorescence (HTRF™) to Monitor Poly-ubiquitination of Wild-type p53. Combinatorial Chemistry & High Throughput Screening. 2(5). 279–287. 25 indexed citations

14.

Hamada, Kenji, Hiromichi Terashima, Mikio Arisawa, Nami Yabuki, & Kunio Kitada. (1999). Amino Acid Residues in the ω-Minus Region Participate in Cellular Localization of Yeast Glycosylphosphatidylinositol-Attached Proteins. Journal of Bacteriology. 181(13). 3886–3889. 104 indexed citations

15.

Anan, Tadashi, Yoichi Nagata, Hisashi Koga, et al.. (1998). Human ubiquitin‐protein ligase Nedd4: expression, subcellular localization and selective interaction with ubiquitin‐conjugating enzymes. Genes to Cells. 3(11). 751–763. 79 indexed citations

16.

Yabuki, Nami & Hiroshi Ashihara. (1992). AMP deaminase and the control of adenylate catabolism in suspension-cultured Catharanthus roseus cells. Phytochemistry. 31(6). 1905–1909. 16 indexed citations

17.

Yabuki, Nami, et al.. (1991). Adenosine metabolism and growth of adenosine-requiring mutant cells of Datura innoxia. 8 indexed citations

18.

Yabuki, Nami & Hiroshi Ashihara. (1991). Catabolism of adenine nucleotides in suspension-cultured plant cells. Biochimica et Biophysica Acta (BBA) - General Subjects. 1073(3). 474–480. 33 indexed citations

19.

Ashihara, Hiroshi, et al.. (1990). A high-performance liquid chromatography method for separation of purine bases, nucleosides and ureides: application to studies on purine catabolism in higher plants. Journal of Biochemical and Biophysical Methods. 21(1). 59–63. 13 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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