Akiko Nakatani

498 total citations
9 papers, 423 citations indexed

About

Akiko Nakatani is a scholar working on Cellular and Molecular Neuroscience, Surgery and Molecular Biology. According to data from OpenAlex, Akiko Nakatani has authored 9 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cellular and Molecular Neuroscience, 3 papers in Surgery and 3 papers in Molecular Biology. Recurrent topics in Akiko Nakatani's work include Neuroscience and Neuropharmacology Research (3 papers), Pancreatic function and diabetes (3 papers) and Natural Antidiabetic Agents Studies (2 papers). Akiko Nakatani is often cited by papers focused on Neuroscience and Neuropharmacology Research (3 papers), Pancreatic function and diabetes (3 papers) and Natural Antidiabetic Agents Studies (2 papers). Akiko Nakatani collaborates with scholars based in Japan, United States and South Korea. Akiko Nakatani's co-authors include Mikio Ito, Yoichi Kondo, Kôji Hayashi, Misa Yamada, Mitsuhiko Yamada, Akiyoshi Saitoh, Kazumasa Yamaguchi, Kazuhiro Takuma, Hyoung‐Chun Kim and Hiroyuki Mizoguchi and has published in prestigious journals such as Brain Research, Psychopharmacology and Behavioural Brain Research.

In The Last Decade

Akiko Nakatani

9 papers receiving 412 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Akiko Nakatani Japan 9 146 129 72 62 62 9 423
Amjad Abuirmeileh Jordan 9 86 0.6× 150 1.2× 140 1.9× 46 0.7× 48 0.8× 24 437
Mehdi Khaksari Iran 14 134 0.9× 145 1.1× 50 0.7× 133 2.1× 100 1.6× 30 644
Alok De United States 19 179 1.2× 135 1.0× 96 1.3× 25 0.4× 84 1.4× 29 756
Xubo Li China 16 194 1.3× 100 0.8× 70 1.0× 32 0.5× 77 1.2× 36 523
Garry Whitehead United Kingdom 5 98 0.7× 173 1.3× 14 0.2× 20 0.3× 40 0.6× 5 378
Sunil Bhurtel South Korea 10 255 1.7× 118 0.9× 24 0.3× 31 0.5× 87 1.4× 12 572
Alix Phivilay Canada 6 146 1.0× 109 0.8× 29 0.4× 43 0.7× 86 1.4× 6 480
G. Nagesh Babu India 17 230 1.6× 155 1.2× 27 0.4× 40 0.6× 78 1.3× 34 732
Borna Payandemehr Iran 16 155 1.1× 250 1.9× 25 0.3× 22 0.4× 46 0.7× 23 524
Katiane Roversi Brazil 14 75 0.5× 121 0.9× 15 0.2× 25 0.4× 30 0.5× 38 481

Countries citing papers authored by Akiko Nakatani

Since Specialization
Citations

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

Fields of papers citing papers by Akiko Nakatani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akiko Nakatani

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

All Works

9 of 9 papers shown
1.
Takahashi, Kou, Kazumasa Yamaguchi, Misa Yamada, et al.. (2010). Riluzole rapidly attenuates hyperemotional responses in olfactory bulbectomized rats, an animal model of depression. Behavioural Brain Research. 216(1). 46–52. 35 indexed citations
2.
Mizoguchi, Hiroyuki, Kazuhiro Takuma, Yukio Ito, et al.. (2007). Improvement by minocycline of methamphetamine-induced impairment of recognition memory in mice. Psychopharmacology. 196(2). 233–241. 79 indexed citations
3.
4.
Saitoh, Akiyoshi, Kazumasa Yamaguchi, Akiko Nakatani, et al.. (2007). Effects of milnacipran and fluvoxamine on hyperemotional behaviors and the loss of tryptophan hydroxylase-positive cells in olfactory bulbectomized rats. Psychopharmacology. 191(4). 857–865. 37 indexed citations
5.
Ito, Mikio, et al.. (2001). Characterization of low dose streptozotocin-induced progressive diabetes in mice. Environmental Toxicology and Pharmacology. 9(3). 71–78. 73 indexed citations
6.
Kondo, Yoichi, Akiko Nakatani, Kôji Hayashi, & Mikio Ito. (2000). Low Molecular Weight Chitosan Prevents the Progression of Low Dose Streptozotocin-Induced Slowly Progressive Diabetes Mellitus in Mice.. Biological and Pharmaceutical Bulletin. 23(12). 1458–1464. 76 indexed citations
7.
Nakatani, Akiko, et al.. (1999). Efficacy of Antithrombin Replacement Therapy in Severe Early-Onset Preeclampsia. Seminars in Thrombosis and Hemostasis. 25(5). 463–466. 17 indexed citations
8.
Ito, Mikio, et al.. (1999). New Model of Progressive Non-Insulin-Dependent Diabetes Mellitus in Mice Induced by Streptozotocin.. Biological and Pharmaceutical Bulletin. 22(9). 988–989. 62 indexed citations
9.
Nakatani, Akiko, M. Yamada, Akiko Asada, et al.. (1998). Comparison of Survival-Promoting Effects of Brain-Derived Neurotrophic Factor and Neurotrophin-3 on PC12h Cells Stably Expressing TrkB Receptor. The Journal of Biochemistry. 123(4). 707–714. 10 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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2026