Mari Yamanaka

1.6k total citations · 1 hit paper
14 papers, 1.3k citations indexed

About

Mari Yamanaka is a scholar working on Cellular and Molecular Neuroscience, Materials Chemistry and Molecular Biology. According to data from OpenAlex, Mari Yamanaka has authored 14 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cellular and Molecular Neuroscience, 5 papers in Materials Chemistry and 4 papers in Molecular Biology. Recurrent topics in Mari Yamanaka's work include Neurobiology and Insect Physiology Research (6 papers), Enzyme Structure and Function (4 papers) and Physiological and biochemical adaptations (3 papers). Mari Yamanaka is often cited by papers focused on Neurobiology and Insect Physiology Research (6 papers), Enzyme Structure and Function (4 papers) and Physiological and biochemical adaptations (3 papers). Mari Yamanaka collaborates with scholars based in Japan and United States. Mari Yamanaka's co-authors include Jae‐Hoon Kim, Ayako Sakamoto, Kazuki Saito, Mikako Shirouzu, Shigeyuki Yokoyama, Hideo Ogiso, Osamu Nureki, Ryuichiro Ishitani, Shuya Fukai and M. Inoue and has published in prestigious journals such as Cell, Brain Research and Neuroscience Letters.

In The Last Decade

Mari Yamanaka

14 papers receiving 1.2k citations

Hit Papers

Crystal Structure of the ... 2002 2026 2010 2018 2002 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. Crystal Structure of the Complex of Human Epidermal Growth Factor and Receptor Extracellular Domains
    2002 928 citations Hideo Ogiso, Ryuichiro Ishitani et al. Cell profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mari Yamanaka 682 571 461 219 128 14 1.3k
Tae‐Hong Kang 1.1k 1.6× 288 0.5× 124 0.3× 88 0.4× 75 0.6× 38 1.9k
Samuel Bouyain 731 1.1× 243 0.4× 184 0.4× 159 0.7× 43 0.3× 34 1.1k
Ira Schieren 1.0k 1.5× 451 0.8× 66 0.1× 232 1.1× 68 0.5× 32 1.6k
Eugene A. Zhukovsky 1.2k 1.8× 591 1.0× 611 1.3× 787 3.6× 14 0.1× 35 2.0k
Akiko Hayashi 1.2k 1.8× 182 0.3× 89 0.2× 144 0.7× 66 0.5× 45 1.9k
Terukazu Nogi 1.0k 1.5× 126 0.2× 143 0.3× 327 1.5× 20 0.2× 43 1.6k
Karsten Boldt 1.4k 2.0× 103 0.2× 142 0.3× 250 1.1× 78 0.6× 83 2.1k
Rotem Rubinstein 575 0.8× 448 0.8× 75 0.2× 242 1.1× 45 0.4× 22 1.4k
Paul R. Dragsten 675 1.0× 101 0.2× 72 0.2× 119 0.5× 43 0.3× 22 1.2k
Eduard Stefan 1.9k 2.8× 193 0.3× 61 0.1× 234 1.1× 151 1.2× 60 2.3k

Countries citing papers authored by Mari Yamanaka

Since Specialization
Citations

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

Fields of papers citing papers by Mari Yamanaka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mari Yamanaka

This figure shows the co-authorship network connecting the top 25 collaborators of Mari Yamanaka. A scholar is included among the top collaborators of Mari Yamanaka 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 Mari Yamanaka. Mari Yamanaka 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.
Tanaka, Hiroaki, Koji Inaka, Mari Yamanaka, et al.. (2012). Controlling the Diffusive Field to Grow a Higher Quality Protein Crystal in Microgravity. Defect and diffusion forum/Diffusion and defect data, solid state data. Part A, Defect and diffusion forum. 323-325. 549–554. 3 indexed citations
2.
Yamanaka, Mari, Koji Inaka, Masaaki Matsushima, et al.. (2010). Optimization of salt concentration in PEG-based crystallization solutions. Journal of Synchrotron Radiation. 18(1). 84–87. 15 indexed citations
3.
Tanaka, Hiroaki, Toshiharu Tsurumura, Kosuke Aritake, et al.. (2010). Improvement in the quality of hematopoietic prostaglandin D synthase crystals in a microgravity environment. Journal of Synchrotron Radiation. 18(1). 88–91. 19 indexed citations
4.
Takahashi, S., Toshiharu Tsurumura, Kosuke Aritake, et al.. (2010). High-quality crystals of human haematopoietic prostaglandin D synthase with novel inhibitors. Acta Crystallographica Section F Structural Biology and Crystallization Communications. 66(7). 846–850. 48 indexed citations
5.
Satô, Masaru, Hiroaki Tanaka, Koji Inaka, et al.. (2006). JAXA-GCF project - high-quality protein crystals grown under microgravity environment for better understanding of protein structure. Microgravity Science and Technology. 18(3-4). 184–189. 18 indexed citations
6.
Tanaka, Hiroaki, S. Takahashi, Mari Yamanaka, et al.. (2006). Diffusion coefficient of the protein in various crystallization solutions: The key to growing high-quality crystals in space. Microgravity Science and Technology. 18(3-4). 91–94. 17 indexed citations
7.
Ogiso, Hideo, Ryuichiro Ishitani, Osamu Nureki, et al.. (2002). Crystal Structure of the Complex of Human Epidermal Growth Factor and Receptor Extracellular Domains. Cell. 110(6). 775–787. 928 indexed citations breakdown →
8.
Yamanaka, Mari, Dai Hatakeyama, Hisayo Sadamoto, Tetsuya Kimura, & Etsuro Ito. (2000). Development of key neurons for learning stimulates learning ability in Lymnaea stagnalis. Neuroscience Letters. 278(1-2). 113–116. 18 indexed citations
9.
Sadamoto, Hisayo, Mari Yamanaka, Dai Hatakeyama, et al.. (2000). Developmental Study of Anatomical Substrate for Conditioned Taste Aversion in Lymnaea stagnalis. ZOOLOGICAL SCIENCE. 17(2). 141–148. 26 indexed citations
10.
Yamanaka, Mari, Hisayo Sadamoto, Dai Hatakeyama, et al.. (1999). Developmental Changes in Conditioned Taste Aversion in Lymnaea stagnalis. ZOOLOGICAL SCIENCE. 16(1). 9–16. 31 indexed citations
11.
Yamanaka, Mari, et al.. (1998). Fermentability of Sake Moromi Prepared with Shochu, Wine, Brewer's, Alcohol, or Sake strains of Saccharomyces cerevisiae. JOURNAL OF THE BREWING SOCIETY OF JAPAN. 93(10). 833–840. 8 indexed citations
12.
Kojima, Satoshi, Suguru Kobayashi, Mari Yamanaka, et al.. (1998). Sensory preconditioning for feeding response in the pond snail, Lymnaea stagnalis. Brain Research. 808(1). 113–115. 32 indexed citations
13.
Kobayashi, Suguru, Satoshi Kojima, Mari Yamanaka, et al.. (1998). Operant Conditioning of Escape Behavior in the Pond Snail, Lymnaea stagnalis. ZOOLOGICAL SCIENCE. 15(5). 683–690. 28 indexed citations
14.
Kojima, Satoshi, Mari Yamanaka, Yutaka Fujito, & Etsuro Ito. (1996). Differential Neuroethological Effects of Aversive and Appetitive Reinforcing Stimuli on Associative Learning in Lymnaea stagnalis. ZOOLOGICAL SCIENCE. 13(6). 803–812. 76 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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