Akira Warashina

745 total citations
54 papers, 638 citations indexed

About

Akira Warashina is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Akira Warashina has authored 54 papers receiving a total of 638 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 36 papers in Cellular and Molecular Neuroscience and 7 papers in Physiology. Recurrent topics in Akira Warashina's work include Ion channel regulation and function (21 papers), Neuroscience and Neuropharmacology Research (17 papers) and Photoreceptor and optogenetics research (13 papers). Akira Warashina is often cited by papers focused on Ion channel regulation and function (21 papers), Neuroscience and Neuropharmacology Research (17 papers) and Photoreceptor and optogenetics research (13 papers). Akira Warashina collaborates with scholars based in Japan, United States and China. Akira Warashina's co-authors include Shozo Fujita, Masumi Inoue, Ichiji Tasaki, Naoshi Fujiwara, Keita Harada, Hidetada Matsuoka, Koki Shimoji, Takeyoshi Sata, Mei Satake and Koki Shimoji and has published in prestigious journals such as The Journal of Physiology, Brain Research and Biochemical and Biophysical Research Communications.

In The Last Decade

Akira Warashina

54 papers receiving 620 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Akira Warashina Japan 15 432 339 64 63 59 54 638
J. David Spafford Canada 20 795 1.8× 544 1.6× 53 0.8× 81 1.3× 112 1.9× 40 972
A. P. Naumov Russia 14 565 1.3× 430 1.3× 52 0.8× 34 0.5× 14 0.2× 47 720
P A Pappone United States 18 760 1.8× 409 1.2× 35 0.5× 242 3.8× 70 1.2× 25 1.0k
Koichi Nakajo Japan 17 700 1.6× 479 1.4× 63 1.0× 34 0.5× 59 1.0× 37 883
Lourdes J. Cruz United States 10 1.6k 3.6× 917 2.7× 26 0.4× 114 1.8× 34 0.6× 10 1.7k
Enrico Nasi United States 16 429 1.0× 597 1.8× 79 1.2× 19 0.3× 28 0.5× 39 731
P H O'Lague United States 16 843 2.0× 858 2.5× 21 0.3× 75 1.2× 114 1.9× 18 1.2k
Estelle Lucas-Meunier France 6 544 1.3× 403 1.2× 36 0.6× 45 0.7× 52 0.9× 6 816
Shunichi Yamagishi Japan 23 710 1.6× 608 1.8× 43 0.7× 135 2.1× 67 1.1× 65 1.2k

Countries citing papers authored by Akira Warashina

Since Specialization
Citations

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

Fields of papers citing papers by Akira Warashina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akira Warashina

This figure shows the co-authorship network connecting the top 25 collaborators of Akira Warashina. A scholar is included among the top collaborators of Akira Warashina 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 Akira Warashina. Akira Warashina 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.
Harada, Keita, Yutaka Endo, Akira Warashina, & Masumi Inoue. (2015). Catecholamine secretion by chemical hypoxia in guinea-pig, but not rat, adrenal medullary cells: Differences in mitochondria. Neuroscience. 301. 134–143. 2 indexed citations
2.
Warashina, Akira & Masumi Inoue. (2012). Ca2+ Imaging in Perfused Adrenal Medullae. Journal of UOEH. 34(2). 163–173. 8 indexed citations
3.
Harada, Keita, Hidetada Matsuoka, Takeyoshi Sata, Akira Warashina, & Masumi Inoue. (2011). Identification and Role of Muscarinic Receptor Subtypes Expressed in Rat Adrenal Medullary Cells. Journal of Pharmacological Sciences. 117(4). 253–264. 15 indexed citations
4.
Inoue, Masumi, Keita Harada, Hidetada Matsuoka, & Akira Warashina. (2010). Paracrine Role of GABA in Adrenal Chromaffin Cells. Cellular and Molecular Neurobiology. 30(8). 1217–1224. 15 indexed citations
5.
Inoue, Masumi, Keita Harada, Hidetada Matsuoka, Takeyoshi Sata, & Akira Warashina. (2008). Inhibition of TASK1‐like channels by muscarinic receptor stimulation in rat adrenal medullary cells. Journal of Neurochemistry. 106(4). 1804–1814. 46 indexed citations
6.
Warashina, Akira. (2005). Mode of mitochondrial Ca2+ clearance and its influence on secretory responses in stimulated chromaffin cells. Cell Calcium. 39(1). 35–46. 8 indexed citations
7.
Endo, Yutaka, et al.. (2004). Mechanisms for Hypoxia Detection in O2-Sensitive Cells. The Japanese Journal of Physiology. 54(2). 109–123. 7 indexed citations
8.
Tsuboi, Takashi, Toshiteru Kikuta, Akira Warashina, & Susumu Terakawa. (2001). Protein Kinase C-Dependent Supply of Secretory Granules to the Plasma Membrane. Biochemical and Biophysical Research Communications. 282(2). 621–628. 21 indexed citations
9.
Warashina, Akira. (2001). Mechanism by which wortmannin and LY294002 inhibit catecholamine secretion in the rat adrenal medullary cells. Cell Calcium. 29(4). 239–247. 13 indexed citations
10.
Warashina, Akira & Yuki Satoh. (2001). Modes of secretagogue-induced [Ca2+]i responses in individual chromaffin cells of the perfusedrat adrenal medulla. Cell Calcium. 30(6). 395–401. 9 indexed citations
11.
Warashina, Akira. (2000). Mechanism of wortmannin-induced inhibition of secretory responses in rat adrenal medullary cells. Life Sciences. 67(21). 2587–2593. 5 indexed citations
12.
Warashina, Akira. (1998). Modulations of Early and Late Secretory Processes by Activation of Protein Kinases in the Rat Adrenal Medulla. Neurosignals. 7(6). 307–320. 8 indexed citations
13.
14.
Warashina, Akira & Naoshi Fujiwara. (1995). Properties of Intracellular Calcium Stores and Their Role in Receptor-Mediated Catecholamine Secretion in Rat Adrenal Chromaffin Cells. Neurosignals. 4(4). 195–205. 9 indexed citations
15.
Yamaguchi, Kensei, et al.. (1993). Effects of Corticosteroids on Cytosolic Free Calcium Concentration of the Rat Adrenal Zona Glomerulosa Cell. Neurosignals. 2(6). 352–358. 4 indexed citations
16.
Warashina, Akira. (1992). <b>CALCIUM MOBILIZATION AND CATECHOLAMINE SECRETION IN HISTAMINE-STIMULATED RAT ADRENAL MEDULLARY CELLS </b>. Biomedical Research. 13(6). 415–421. 4 indexed citations
17.
Fujiwara, Naoshi, Takashi Abe, Hiroshi Endoh, Akira Warashina, & Koki Shimoji. (1992). Changes in intracellular pH of mouse hippocampal slices responding to hypoxia and/or glucose depletion. Brain Research. 572(1-2). 335–339. 38 indexed citations
18.
Warashina, Akira, et al.. (1988). <b>CHARACTERISTICS OF BRADYKININ-EVOKED SECRETORY RESPONSE IN THE PERFUSED RAT ADRENAL </b><b>MEDULLA </b>. Biomedical Research. 9(2). 139–145. 16 indexed citations
19.
Warashina, Akira, et al.. (1988). Binding properties of sea anemone toxins to sodium channels in the crayfish giant axon.. PubMed. 90(2). 351–9. 9 indexed citations
20.
Warashina, Akira & Shozo Fujita. (1983). Effect of sea anemone toxins on the sodium inactivation process in crayfish axons.. The Journal of General Physiology. 81(3). 305–323. 48 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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