Eri Hashino

3.3k total citations
62 papers, 2.5k citations indexed

About

Eri Hashino is a scholar working on Sensory Systems, Molecular Biology and Ecology. According to data from OpenAlex, Eri Hashino has authored 62 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Sensory Systems, 34 papers in Molecular Biology and 8 papers in Ecology. Recurrent topics in Eri Hashino's work include Hearing, Cochlea, Tinnitus, Genetics (40 papers), Congenital heart defects research (9 papers) and Marine animal studies overview (8 papers). Eri Hashino is often cited by papers focused on Hearing, Cochlea, Tinnitus, Genetics (40 papers), Congenital heart defects research (9 papers) and Marine animal studies overview (8 papers). Eri Hashino collaborates with scholars based in United States, Japan and France. Eri Hashino's co-authors include Karl R. Koehler, Richard Salvi, Marlene Shero, Jing Nie, Takako Kondo, Andrew M. Mikosz, R. Romand, Dharmeshkumar Patel, Andrei I. Molosh and Jeffrey R. Holt and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Eri Hashino

61 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eri Hashino United States 30 1.4k 1.3k 367 308 290 62 2.5k
Huawei Li China 29 1.8k 1.3× 1.2k 1.0× 550 1.5× 202 0.7× 168 0.6× 57 2.6k
Isabelle Roux France 33 1.3k 0.9× 2.9k 2.3× 380 1.0× 111 0.4× 392 1.4× 62 4.6k
Alain Dabdoub United States 25 1.4k 1.0× 1.7k 1.4× 363 1.0× 182 0.6× 317 1.1× 49 2.9k
Nessan Bermingham United States 9 1.0k 0.7× 1.3k 1.0× 302 0.8× 116 0.4× 334 1.2× 14 2.4k
Mark E. Warchol United States 32 2.1k 1.5× 1.2k 1.0× 356 1.0× 153 0.5× 170 0.6× 77 3.0k
Thomas Schimmang Spain 27 990 0.7× 2.1k 1.7× 305 0.8× 73 0.2× 409 1.4× 73 3.2k
Huawei Li China 28 937 0.7× 934 0.7× 221 0.6× 227 0.7× 136 0.5× 56 1.9k
Kohei Kawamoto Japan 21 1.8k 1.3× 642 0.5× 752 2.0× 243 0.8× 285 1.0× 45 2.4k
Jinwoong Bok South Korea 26 951 0.7× 1.1k 0.9× 210 0.6× 57 0.2× 203 0.7× 82 2.0k
Karl R. Koehler United States 21 715 0.5× 1.1k 0.8× 162 0.4× 459 1.5× 149 0.5× 41 2.0k

Countries citing papers authored by Eri Hashino

Since Specialization
Citations

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

Fields of papers citing papers by Eri Hashino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eri Hashino

This figure shows the co-authorship network connecting the top 25 collaborators of Eri Hashino. A scholar is included among the top collaborators of Eri Hashino 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 Eri Hashino. Eri Hashino 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.
Jafarkhani, Mahboubeh, et al.. (2025). Chemically defined and dynamic click hydrogels support hair cell differentiation in human inner ear organoids. Stem Cell Reports. 20(2). 102386–102386. 2 indexed citations
2.
Nakamura, Takashi, et al.. (2023). Defining developmental trajectories of prosensory cells in human inner ear organoids at single-cell resolution. Development. 150(12). 14 indexed citations
3.
Nie, Jing, et al.. (2022). CHD7 regulates otic lineage specification and hair cell differentiation in human inner ear organoids. Nature Communications. 13(1). 7053–7053. 31 indexed citations
4.
Hashino, Eri, et al.. (2021). Directed Differentiation of Human Pluripotent Stem Cells into Inner Ear Organoids. Methods in molecular biology. 2520. 135–150. 10 indexed citations
5.
Tang, Pei-Ciao, Jing Nie, Jiyoon Lee, et al.. (2019). Defective Tmprss3-Associated Hair Cell Degeneration in Inner Ear Organoids. Stem Cell Reports. 13(1). 147–162. 55 indexed citations
6.
Koehler, Karl R., et al.. (2017). Generation of inner ear organoids with functional hair cells from human pluripotent stem cells. PMC. 1 indexed citations
7.
Koehler, Karl R., Jing Nie, Peter Liu, et al.. (2017). Generation of inner ear organoids containing functional hair cells from human pluripotent stem cells. Nature Biotechnology. 35(6). 583–589. 237 indexed citations
8.
Liu, Xiaoping, et al.. (2016). Modulation of Wnt Signaling Enhances Inner Ear Organoid Development in 3D Culture. PLoS ONE. 11(9). e0162508–e0162508. 56 indexed citations
9.
Koehler, Karl R., et al.. (2015). Generating Inner Ear Organoids from Mouse Embryonic Stem Cells. Methods in molecular biology. 1341. 391–406. 34 indexed citations
10.
Koehler, Karl R. & Eri Hashino. (2014). 3D mouse embryonic stem cell culture for generating inner ear organoids. Nature Protocols. 9(6). 1229–1244. 118 indexed citations
11.
Romand, R., Wojciech Krężel, Mathieu Beraneck, et al.. (2013). Retinoic Acid Deficiency Impairs the Vestibular Function. Journal of Neuroscience. 33(13). 5856–5866. 24 indexed citations
12.
Kondo, Takako, Atsushi Shimomura, Karl R. Koehler, et al.. (2011). Wnt Signaling Promotes Neuronal Differentiation from Mesenchymal Stem Cells Through Activation of Tlx3. Stem Cells. 29(5). 836–846. 79 indexed citations
13.
Yang, Zhenyun, Takako Kondo, Sarah C. Nabinger, et al.. (2009). Increased c-Jun Expression and Reduced GATA2 Expression Promote Aberrant Monocytic Differentiation Induced by Activating PTPN11 Mutants. Molecular and Cellular Biology. 29(16). 4376–4393. 20 indexed citations
14.
Kondo, Takako, Patrick L. Sheets, David Zopf, et al.. (2008). Tlx3 exerts context-dependent transcriptional regulation and promotes neuronal differentiation from embryonic stem cells. Proceedings of the National Academy of Sciences. 105(15). 5780–5785. 32 indexed citations
15.
Kondo, Takako, S.A. Johnson, Mervin C. Yöder, R. Romand, & Eri Hashino. (2005). Sonic hedgehog and retinoic acid synergistically promote sensory fate specification from bone marrow-derived pluripotent stem cells. Proceedings of the National Academy of Sciences. 102(13). 4789–4794. 140 indexed citations
16.
Romand, R., et al.. (2002). The retinoic acid receptors RARα and RARγ are required for inner ear development. Mechanisms of Development. 119(2). 213–223. 34 indexed citations
17.
Sun, Hong, Eri Hashino, Dalian Ding, & Richard Salvi. (2000). Reversible and irreversible damage to cochlear afferent neurons by kainic acid excitotoxicity. The Journal of Comparative Neurology. 430(2). 172–181. 37 indexed citations
18.
Hashino, Eri & Richard Salvi. (1993). Changing spatial patterns of DNA replication in the noise-damaged chick cochlea. Journal of Cell Science. 105(1). 23–31. 60 indexed citations
19.
Salvi, Richard, et al.. (1993). Recovery of CAP threshold and amplitude in chickens following kanamycin ototoxicity. Hearing Research. 69(1-2). 15–24. 27 indexed citations
20.
Hashino, Eri & Kazuo Okanoya. (1989). Auditory sensitivity in the zebra finch (Poephila guttata castanotis).. Journal of the Acoustical Society of Japan (E). 10(1). 51–52. 18 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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