Runa Araya

481 total citations
9 papers, 381 citations indexed

About

Runa Araya is a scholar working on Molecular Biology, Epidemiology and Neurology. According to data from OpenAlex, Runa Araya has authored 9 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Epidemiology and 2 papers in Neurology. Recurrent topics in Runa Araya's work include Cell death mechanisms and regulation (3 papers), Autophagy in Disease and Therapy (2 papers) and DNA Repair Mechanisms (2 papers). Runa Araya is often cited by papers focused on Cell death mechanisms and regulation (3 papers), Autophagy in Disease and Therapy (2 papers) and DNA Repair Mechanisms (2 papers). Runa Araya collaborates with scholars based in Japan and United States. Runa Araya's co-authors include Yasuyuki Nomura, Takashi Uehara, Masahisa Yamada, Masako Kawano, Yuji Mishina, Gregory Scott, Manas K. Ray, Tomokazu Fukuda, Yoshihiro Komatsu and Ryo Takahashi and has published in prestigious journals such as PLoS ONE, Oncogene and FEBS Letters.

In The Last Decade

Runa Araya

9 papers receiving 374 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Runa Araya Japan	9	222	68	66	60	54	9	381
Kei Shioda Japan	14	274 1.2×	74 1.1×	35 0.5×	82 1.4×	42 0.8×	25	517
María Bjarnadóttir Sweden	8	156 0.7×	95 1.4×	34 0.5×	43 0.7×	33 0.6×	9	462
Katsuaki Miki Japan	12	293 1.3×	66 1.0×	26 0.4×	43 0.7×	20 0.4×	23	491
Mingfei Zhao China	11	168 0.8×	35 0.5×	39 0.6×	25 0.4×	31 0.6×	14	359
M. T. Dotti Italy	13	309 1.4×	62 0.9×	80 1.2×	45 0.8×	18 0.3×	38	583
Raül Tortosa Spain	13	224 1.0×	38 0.6×	87 1.3×	35 0.6×	12 0.2×	21	419
Michael C. Schneider United States	8	254 1.1×	34 0.5×	29 0.4×	146 2.4×	76 1.4×	12	503
Limeng Dai China	13	211 1.0×	34 0.5×	23 0.3×	70 1.2×	27 0.5×	36	429
Marwan Nashabat Saudi Arabia	13	229 1.0×	33 0.5×	66 1.0×	105 1.8×	21 0.4×	25	422
Nomingerel Tserentsoodol United States	13	426 1.9×	72 1.1×	25 0.4×	39 0.7×	18 0.3×	19	677

Countries citing papers authored by Runa Araya

Since Specialization

Citations

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

Fields of papers citing papers by Runa Araya

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Runa Araya

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

All Works

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9 of 9 papers shown

1.

Takasugi, Nobumasa, Runa Araya, Yuji Kamikubo, et al.. (2018). TMEM30A is a candidate interacting partner for the β-carboxyl-terminal fragment of amyloid-β precursor protein in endosomes. PLoS ONE. 13(8). e0200988–e0200988. 13 indexed citations

2.

Kitamura, Naohito, Runa Araya, Haruo Kishida, et al.. (2009). Beneficial Effects of Estrogen in a Mouse Model of Cerebrovascular Insufficiency. PLoS ONE. 4(4). e5159–e5159. 28 indexed citations

3.

Araya, Runa, Masako Kawano, Tsutomu Hashikawa, et al.. (2008). BMP signaling through BMPRIA in astrocytes is essential for proper cerebral angiogenesis and formation of the blood–brain-barrier. Molecular and Cellular Neuroscience. 38(3). 417–430. 45 indexed citations

4.

Meyerkord, Cheryl L., Yoshinori Takahashi, Runa Araya, et al.. (2008). Loss of Hus1 sensitizes cells to etoposide-induced apoptosis by regulating BH3-only proteins. Oncogene. 27(58). 7248–7259. 10 indexed citations

5.

Araya, Runa, Takanori Noguchi, Naohito Kitamura, et al.. (2006). Loss of M5 muscarinic acetylcholine receptors leads to cerebrovascular and neuronal abnormalities and cognitive deficits in mice. Neurobiology of Disease. 24(2). 334–344. 69 indexed citations

6.

Fukuda, Tomokazu, Gregory Scott, Yoshihiro Komatsu, et al.. (2006). Generation of a mouse with conditionally activated signaling through the BMP receptor, ALK2. genesis. 44(4). 159–167. 96 indexed citations

7.

Araya, Runa, Itaru Hirai, Cheryl L. Meyerkord, & Hong‐Gang Wang. (2004). Loss of RPA1 induces Chk2 phosphorylation through a caffeine‐sensitive pathway. FEBS Letters. 579(1). 157–161. 15 indexed citations

8.

Araya, Runa, Ryo Takahashi, & Yasuyuki Nomura. (2002). Yeast two-hybrid screening using constitutive-active caspase-7 as bait in the identification of PA28γ as an effector caspase substrate. Cell Death and Differentiation. 9(3). 322–328. 26 indexed citations

9.

Araya, Runa, Takashi Uehara, & Yasuyuki Nomura. (1998). Hypoxia induces apoptosis in human neuroblastoma SK‐N‐MC cells by caspase activation accompanying cytochrome c release from mitochondria. FEBS Letters. 439(1-2). 168–172. 79 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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