Tomoko Makishima

2.3k total citations
37 papers, 1.3k citations indexed

About

Tomoko Makishima is a scholar working on Sensory Systems, Molecular Biology and Neurology. According to data from OpenAlex, Tomoko Makishima has authored 37 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Sensory Systems, 13 papers in Molecular Biology and 8 papers in Neurology. Recurrent topics in Tomoko Makishima's work include Hearing, Cochlea, Tinnitus, Genetics (14 papers), Vestibular and auditory disorders (8 papers) and Viral Infections and Outbreaks Research (7 papers). Tomoko Makishima is often cited by papers focused on Hearing, Cochlea, Tinnitus, Genetics (14 papers), Vestibular and auditory disorders (8 papers) and Viral Infections and Outbreaks Research (7 papers). Tomoko Makishima collaborates with scholars based in United States, Japan and Nigeria. Tomoko Makishima's co-authors include Andrew J. Griffith, Valentina Labay, Kiyoto Kurima, Doris K. Wu, Charles C. Della Santina, Jeffrey R. Holt, Gwenaëlle S. G. Géléoc, Yukako Asai, Yoshiyuki Kawashima and Andrea Lelli and has published in prestigious journals such as Journal of Clinical Investigation, SHILAP Revista de lepidopterología and Biochemistry.

In The Last Decade

Tomoko Makishima

35 papers receiving 1.3k citations

Peers

Countries citing papers authored by Tomoko Makishima

Since Specialization

Citations

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

Fields of papers citing papers by Tomoko Makishima

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomoko Makishima

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Pathological Insights into Lassa Virus-Induced Vestibular Dysfunction in Mice: Histopathological Analysis of the Inner Ear Vestibular Apparatus 2024 ·The Journal of Infectious Diseases ·(unknown), (unknown), (unknown), Atsushi Tamura, Nadezhda E. Yun, Takaaki Koma, Junki Maruyama, Slobodan Paessler, Tomoko Makishima	0
2	Analysis of sensorineural hearing loss in patients attending an otolaryngology clinic in North Central Nigeria 2023 ·SHILAP Revista de lepidopterología ·(unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Slobodan Paessler, Tomoko Makishima, Nathan Y. Shehu	0
3	Epidemiological review of confirmed Lassa fever cases during 2016–2018, in Plateau State, North Central Nigeria 2022 ·SHILAP Revista de lepidopterología ·(unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Ayanfe Omololu, (unknown), (unknown), Tomoko Makishima, Slobodan Paessler, Nathan Y. Shehu	6
4	Sex differences in the auditory functions of rodents 2021 ·Hearing Research ·(unknown), Shinji Urata, Rebecca S. Cook, Tomoko Makishima	22
5	Auditory function analysis in immunodeficient STAT1 knock-out mice: Considerations for viral infection models 2020 ·Neuroscience Letters ·Tomoharu Suzuki, Junki Maruyama, Rebecca S. Cook, Shinji Urata, Slobodan Paessler, Tomoko Makishima	3
6	Current small animal models for LASV hearing loss 2019 ·Current Opinion in Virology ·(unknown), Junki Maruyama, Nathan Y. Shehu, Tomoko Makishima, Slobodan Paessler	5
7	The role of GABAB receptors in the vestibular oculomotor system in mice 2016 ·Behavioural Brain Research ·Naoki Shimizu, Scott J. Wood, Keisuke Kushiro, Adrian A. Perachio, Tomoko Makishima	2
8	Phialemonium infection complicating chronic suppurative otitis media 2014 ·Medical Mycology Case Reports ·(unknown), Tal Marom, Tomoko Makishima	3
9	Dynamic characteristics of otolith ocular response during counter rotation about dual yaw axes in mice 2014 ·Neuroscience ·Naoki Shimizu, Scott J. Wood, Keisuke Kushiro, Shuichi Yanai, A. A. Perachio, Tomoko Makishima	5
10	Otolaryngologic markers for the early diagnosis of Turner syndrome 2009 ·International Journal of Pediatric Otorhinolaryngology ·Tomoko Makishima, Kelly King, Carmen C. Brewer, Christopher Zalewski, John A. Butman, Vladimir K. Bakalov, Carolyn A. Bondy, Andrew J. Griffith	21
11	A novel mutation at the DFNA36 hearing loss locus reveals a critical function and potential genotype–phenotype correlation for amino acid‐572 of TMC1 2007 ·Clinical Genetics ·(unknown), Tomoko Makishima, TB Friedman, AJ Griffith	42
12	Nonsyndromic hearing loss DFNA10 and a novel mutation of EYA4: Evidence for correlation of normal cardiac phenotype with truncating mutations of the Eya domain 2007 ·American Journal of Medical Genetics Part A ·Tomoko Makishima, Anne C. Madeo, Carmen C. Brewer, Christopher Zalewski, John A. Butman, Vandana Sachdev, Andrew E. Arai, (unknown), Douglas R. Rosing, Andrew J. Griffith	34
13	Identities, frequencies and origins of TMC1 mutations causing DFNB7/B11 deafness in Pakistan 2007 ·Clinical Genetics ·(unknown), Ryan P. McNamara, Tomoko Makishima, Tayyab Husnaın, (unknown), (unknown), (unknown), TB Friedman, Sheikh Riazuddin, AJ Griffith	55
14	Col11a1andcol11a2mRNA expression in the developing mouse Cochlea: Implications for the correlation of hearing loss phenotype with mutant type XI collagen genotype 2004 ·Acta Oto-Laryngologica ·Karl B. Shpargel, Tomoko Makishima, Andrew J. Griffith	27
15	Early Onset and Rapid Progression of Dominant Nonsyndromic DFNA36 Hearing Loss 2004 ·Otology & Neurotology ·Tomoko Makishima, Kiyoto Kurima, Carmen C. Brewer, Andrew J. Griffith	27
16	Deafness Due to Degeneration of Cochlear Neurons in Caspase-3-Deficient Mice 2001 ·Biochemical and Biophysical Research Communications ·Hirofumi Morishita, Tomoko Makishima, (unknown), (unknown), Neil Segil, Katsuhiko Takahashi, Akio Kuraoka, Takashi Nakagawa, Junichi Nabekura, Keiko Nakayama, Kei-ichi Nakayama, (unknown), (unknown)	27
17	A Subunit of the Mammalian Oligosaccharyltransferase, DADI, Interacts with Mcl-1, one of the bcl-2 Protein Family 2000 ·The Journal of Biochemistry ·Tomoko Makishima, Michihiro Yoshimi, (unknown), Nobuyuki Hara, T. Nishimoto	43
18	The highly conserved DAD1 protein involved in apoptosis is required for N‐linked glycosylation 1997 ·Genes to Cells ·Tomoko Makishima, Torahiko Nakashima, (unknown), Kohtaro Fukushima, Hiroshi Iida, Masao Sakaguchi, Yukio Ikehara, Sohtaro Komiyama, (unknown)	49
19	dad-1, A Putative Programmed Cell Death Suppressor Gene in Rice 1997 ·Plant and Cell Physiology ·Yoshikazu Tanaka, Tomoko Makishima, (unknown), Yuki Ichinose, Takuya Shiraishi, T. Nishimoto, Takechiyo Yamada	51
20	An Arabidopsis thaliana cDNA complementing a hamster apoptosis suppressor mutant 1997 ·The Plant Journal ·Patrick Gallois, Tomoko Makishima, Valérie Hecht, (unknown), Michèle Laudié, Takeharu Nishimoto, Richard Cooke	93

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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