Hideaki Abe

1.7k total citations
58 papers, 1.2k citations indexed

About

Hideaki Abe is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Hideaki Abe has authored 58 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 15 papers in Immunology and 13 papers in Oncology. Recurrent topics in Hideaki Abe's work include PARP inhibition in cancer therapy (10 papers), Toxin Mechanisms and Immunotoxins (8 papers) and Glioma Diagnosis and Treatment (5 papers). Hideaki Abe is often cited by papers focused on PARP inhibition in cancer therapy (10 papers), Toxin Mechanisms and Immunotoxins (8 papers) and Glioma Diagnosis and Treatment (5 papers). Hideaki Abe collaborates with scholars based in Japan, New Zealand and United States. Hideaki Abe's co-authors include Norihiro Okada, Kazuhiko Ohshima, Mutsuo Goto, Isao Munechika, Hidehiro Kato, Hiroshi Yasue, Mitsuru Shimamura, Toshiya Kishiro, Sei-ichi Tanuma and Miho Inoue‐Murayama and has published in prestigious journals such as Nature, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Hideaki Abe

56 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hideaki Abe Japan 18 521 233 210 203 187 58 1.2k
Toshinori Endo Japan 16 997 1.9× 257 1.1× 128 0.6× 106 0.5× 200 1.1× 42 1.6k
Gabriel Gutiérrez Spain 23 999 1.9× 175 0.8× 107 0.5× 196 1.0× 306 1.6× 65 1.7k
R. Daniel Kortschak Australia 18 1.1k 2.1× 257 1.1× 137 0.7× 105 0.5× 427 2.3× 33 1.6k
Cristina Chiva Spain 24 1.1k 2.1× 122 0.5× 152 0.7× 143 0.7× 181 1.0× 47 1.8k
Richard P. Metz United States 23 571 1.1× 249 1.1× 77 0.4× 299 1.5× 165 0.9× 56 1.4k
Oommen V. Oommen India 22 492 0.9× 352 1.5× 242 1.2× 49 0.2× 140 0.7× 79 1.9k
Frank M. Clarke Australia 18 748 1.4× 77 0.3× 226 1.1× 100 0.5× 43 0.2× 32 1.7k
Gonzalo Millán-Zambrano Spain 14 2.1k 4.1× 291 1.2× 138 0.7× 141 0.7× 207 1.1× 19 2.7k
Karol Szafranski Germany 25 1.3k 2.4× 216 0.9× 122 0.6× 43 0.2× 251 1.3× 65 1.9k
Helena Ćetković Croatia 18 547 1.0× 94 0.4× 148 0.7× 168 0.8× 42 0.2× 60 975

Countries citing papers authored by Hideaki Abe

Since Specialization
Citations

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

Fields of papers citing papers by Hideaki Abe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hideaki Abe

This figure shows the co-authorship network connecting the top 25 collaborators of Hideaki Abe. A scholar is included among the top collaborators of Hideaki Abe 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 Hideaki Abe. Hideaki Abe 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
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Dussex, Nicolás, Verena E. Kutschera, R. Axel W. Wiberg, et al.. (2020). A genome‐wide investigation of adaptive signatures in protein‐coding genes related to tool behaviour in New Caledonian and Hawaiian crows. Molecular Ecology. 30(4). 973–986. 6 indexed citations
4.
Abe, Hideaki, Manabu Natsumeda, Masayasu Okada, et al.. (2020). MGMT Expression Contributes to Temozolomide Resistance in H3K27M-Mutant Diffuse Midline Gliomas. Frontiers in Oncology. 9. 1568–1568. 30 indexed citations
5.
Nakajima, Shingo, Akira Sato, Hideaki Abe, et al.. (2020). Trimebutine attenuates high mobility group box 1–receptor for advanced glycation end-products inflammatory signaling pathways. Biochemical and Biophysical Research Communications. 533(4). 1155–1161. 9 indexed citations
6.
Yoshimori, Atsushi, et al.. (2019). Structural insights into the active site of poly(ADP-ribose) glycohydrolase using docking modes of 6-hydroxy-3H-xanthen-3-one derivative inhibitors. Bioorganic & Medicinal Chemistry. 28(3). 115249–115249. 3 indexed citations
7.
Tanuma, Sei-ichi, et al.. (2019). Targeting poly(ADP-ribose) glycohydrolase to draw apoptosis codes in cancer. Biochemical Pharmacology. 167. 163–172. 14 indexed citations
8.
Natsumeda, Manabu, Hironaka Igarashi, Hideaki Abe, et al.. (2017). Reliable diagnosis of IDH-mutant glioblastoma by 2-hydroxyglutarate detection: a study by 3-T magnetic resonance spectroscopy. Neurosurgical Review. 41(2). 641–647. 20 indexed citations
9.
Yoshimori, Atsushi, Satoshi Takahashi, Tetsuya Yamamoto, et al.. (2017). Structural insight into the active site of mushroom tyrosinase using phenylbenzoic acid derivatives. Bioorganic & Medicinal Chemistry Letters. 27(13). 2868–2872. 13 indexed citations
10.
Abe, Hideaki & Neil J. Gemmell. (2014). Abundance, arrangement, and function of sequence motifs in the chicken promoters. BMC Genomics. 15(1). 900–900. 17 indexed citations
11.
Abe, Hideaki, Kenji Nagao, Akihiro Nakamura, & Miho Inoue‐Murayama. (2013). Differences in responses to repeated fear-relevant stimuli between Nagoya and White Leghorn chicks. Behavioural Processes. 99. 95–99. 22 indexed citations
12.
Abe, Hideaki, Shin‐ichi Ito, & Miho Inoue‐Murayama. (2011). Polymorphisms in the Extracellular Region of Dopamine Receptor D4 Within and Among Avian Orders. Journal of Molecular Evolution. 72(3). 253–264. 11 indexed citations
13.
Abe, Hideaki, et al.. (2011). Genetic variation in the C-terminal domain of arginine vasotocin receptor in avian species. Gene. 494(2). 174–180. 3 indexed citations
14.
Abe, Hideaki, Azusa Hayano, & Miho Inoue‐Murayama. (2011). Forensic species identification of large macaws using DNA barcodes and microsatellite profiles. Molecular Biology Reports. 39(1). 693–699. 14 indexed citations
15.
Okita, Naoyuki, et al.. (2010). Bacterial production of recombinant human poly(ADP-ribose) glycohydrolase. Protein Expression and Purification. 75(2). 230–235. 2 indexed citations
16.
Okita, Naoyuki, et al.. (2010). Discovery of novel poly(ADP-ribose) glycohydrolase inhibitors by a quantitative assay system using dot-blot with anti-poly(ADP-ribose). Biochemical and Biophysical Research Communications. 392(4). 485–489. 16 indexed citations
17.
Abe, Hideaki, Masaaki Shibata, & Yoshinori Otsuki. (2006). Caspase cascade of Fas-mediated apoptosis in human normal endometrium and endometrial carcinoma cells. Molecular Human Reproduction. 12(9). 535–541. 23 indexed citations
18.
Shibata, Masaaki, Yoshihiro Miwa, Minoru Miyashita, et al.. (2005). Electrogene transfer of an Epstein–Barr virus‐based plasmid replicon vector containing the diphtheria toxin A gene suppresses mammary carcinoma growth in SCID mice. Cancer Science. 96(7). 434–440. 9 indexed citations
19.
Nikaido, Masato, et al.. (2001). Evolution of CHR-2 SINEs in cetartiodactyl genomes: possible evidence for the monophyletic origin of toothed whales. Mammalian Genome. 12(12). 909–915. 33 indexed citations
20.
Tanaka, Masakazu, et al.. (1999). Human T‐cell Leukemia Virus Type 1 Can Infect a Wide Variety of Cells in Mice. Japanese Journal of Cancer Research. 90(1). 48–54. 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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