Ayako Nishihara

2.1k total citations · 1 hit paper
14 papers, 1.8k citations indexed

About

Ayako Nishihara is a scholar working on Molecular Biology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Ayako Nishihara has authored 14 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Ayako Nishihara's work include TGF-β signaling in diseases (9 papers), Pancreatic and Hepatic Oncology Research (2 papers) and Angiogenesis and VEGF in Cancer (2 papers). Ayako Nishihara is often cited by papers focused on TGF-β signaling in diseases (9 papers), Pancreatic and Hepatic Oncology Research (2 papers) and Angiogenesis and VEGF in Cancer (2 papers). Ayako Nishihara collaborates with scholars based in Japan, United States and India. Ayako Nishihara's co-authors include Kohei Miyazono, Takeshi Imamura, Jun‐ichi Hanai, Masahiro Kawabata, Eiichi Oeda, Masao Takase, Tetsuro Watabe, Kévin Montagne, Yasuhiro Suzuki and Nobuaki Okamoto and has published in prestigious journals such as Nature, Journal of Biological Chemistry and The Journal of Cell Biology.

In The Last Decade

Ayako Nishihara

13 papers receiving 1.7k citations

Hit Papers

Smad6 inhibits signalling by the TGF-β superfamily 1997 2026 2006 2016 1997 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Smad6 inhibits signalling by the TGF-β superfamily
    1997 869 citations Takeshi Imamura, Masao Takase et al. Nature profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ayako Nishihara Japan 11 1.5k 318 152 142 125 14 1.8k
Mozhgan Afrakhte Sweden 8 1.7k 1.1× 440 1.4× 124 0.8× 178 1.3× 79 0.6× 9 2.0k
Suzanne Spong United States 11 729 0.5× 307 1.0× 187 1.2× 204 1.4× 189 1.5× 12 1.4k
Ashreena Salpekar United Kingdom 8 1.1k 0.8× 286 0.9× 112 0.7× 172 1.2× 110 0.9× 8 1.7k
Yanlin Yu United States 18 913 0.6× 377 1.2× 194 1.3× 197 1.4× 179 1.4× 35 1.5k
Petra Franzèn Sweden 14 1.9k 1.3× 425 1.3× 164 1.1× 152 1.1× 138 1.1× 17 2.3k
Elena Tenedini Italy 24 933 0.6× 290 0.9× 89 0.6× 212 1.5× 124 1.0× 53 1.7k
Mascha van Noort Netherlands 10 1.6k 1.1× 317 1.0× 100 0.7× 220 1.5× 172 1.4× 10 2.0k
Céline Prunier France 24 1.3k 0.9× 397 1.2× 86 0.6× 201 1.4× 150 1.2× 40 1.6k
Jean‐Pierre Magaud France 27 1.4k 1.0× 399 1.3× 75 0.5× 219 1.5× 87 0.7× 60 2.3k
Abdullah Mahmood Ali United States 20 1.5k 1.0× 244 0.8× 90 0.6× 309 2.2× 181 1.4× 60 2.0k

Countries citing papers authored by Ayako Nishihara

Since Specialization
Citations

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

Fields of papers citing papers by Ayako Nishihara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ayako Nishihara

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

All Works

14 of 14 papers shown
1.
Sekine, Shiori, Masato Koike, Ayako Nishihara, et al.. (2012). Rhomboid Protease PARL Mediates the Mitochondrial Membrane Potential Loss-induced Cleavage of PGAM5. Journal of Biological Chemistry. 287(41). 34635–34645. 142 indexed citations
2.
Yamazumi, Yusuke, Atsushi Kamiya, Ayako Nishihara, et al.. (2009). The transmembrane nucleoporin NDC1 is required for targeting of ALADIN to nuclear pore complexes. Biochemical and Biophysical Research Communications. 389(1). 100–104. 28 indexed citations
3.
Suzuki, Yasuhiro, Kévin Montagne, Ayako Nishihara, Tetsuro Watabe, & Ken‐ichi Miyazono. (2007). BMPs Promote Proliferation and Migration of Endothelial Cells via Stimulation of VEGF-A/VEGFR2 and Angiopoietin-1/Tie2 Signalling. The Journal of Biochemistry. 143(2). 199–206. 104 indexed citations
4.
Futami, Kunihiko, et al.. (2005). Four types of smad4 found in the common carp,Cyprinus carpio. Journal of Experimental Zoology Part B Molecular and Developmental Evolution. 304B(3). 250–258. 4 indexed citations
5.
Nishihara, Ayako, Makiko Fujii, T. Kuber Sampath, Kohei Miyazono, & A. Hari Reddi. (2003). Bone morphogenetic protein signaling in articular chondrocyte differentiation. Biochemical and Biophysical Research Communications. 301(2). 617–622. 28 indexed citations
6.
Watabe, Tetsuro, Ayako Nishihara, Kōichi Mishima, et al.. (2003). TGF-β receptor kinase inhibitor enhances growth and integrity of embryonic stem cell–derived endothelial cells. The Journal of Cell Biology. 163(6). 1303–1311. 150 indexed citations
7.
Nishihara, Ayako, Tetsuro Watabe, Takeshi Imamura, & Kohei Miyazono. (2002). Functional Heterogeneity of Bone Morphogenetic Protein Receptor-II Mutants Found in Patients with Primary Pulmonary Hypertension. Molecular Biology of the Cell. 13(9). 3055–3063. 104 indexed citations
8.
Nishihara, Ayako, Jun‐ichi Hanai, Takeshi Imamura, Kohei Miyazono, & Masahiro Kawabata. (1999). E1A Inhibits Transforming Growth Factor-β Signaling through Binding to Smad Proteins. Journal of Biological Chemistry. 274(40). 28716–28723. 91 indexed citations
9.
Kawabata, Masahiro, Takeshi Imamura, Hirofumi Inoue, et al.. (1999). Intracellular Signaling of the TGF‐β Superfamily by Smad Proteins. Annals of the New York Academy of Sciences. 886(1). 73–82. 41 indexed citations
10.
Nishihara, Ayako, Jun‐ichi Hanai, Nobuaki Okamoto, et al.. (1998). Role of p300, a transcriptional coactivator, in signalling of TGF‐β. Genes to Cells. 3(9). 613–623. 137 indexed citations
11.
Yatomi, Yutaka, et al.. (1998). Effects of Lysophosphatidic Acid on Proliferation of Stellate Cells and Hepatocytes in Culture. Biochemical and Biophysical Research Communications. 248(2). 436–440. 72 indexed citations
12.
Imamura, Takeshi, Masao Takase, Ayako Nishihara, et al.. (1997). Smad6 inhibits signalling by the TGF-β superfamily. Nature. 389(6651). 622–626. 869 indexed citations breakdown →
13.
Nishihara, Ayako, et al.. (1962). Availability of Tryptophan in Food Proteins. The Japanese Journal of Nutrition and Dietetics. 20(5). 178–182. 1 indexed citations
14.
Nishihara, Ayako, et al.. (1959). Nutritional Studies on Chlorella. The Japanese Journal of Nutrition and Dietetics. 17(1). 19–20. 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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