Hung‐Ya Tu

47 total papers · 541 total citations
22 papers, 340 citations indexed

About

Hung‐Ya Tu is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Hung‐Ya Tu has authored 22 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 13 papers in Cellular and Molecular Neuroscience and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Hung‐Ya Tu's work include Retinal Development and Disorders (16 papers), Neuroscience and Neural Engineering (8 papers) and Photoreceptor and optogenetics research (8 papers). Hung‐Ya Tu is often cited by papers focused on Retinal Development and Disorders (16 papers), Neuroscience and Neural Engineering (8 papers) and Photoreceptor and optogenetics research (8 papers). Hung‐Ya Tu collaborates with scholars based in Japan, Taiwan and United States. Hung‐Ya Tu's co-authors include Masayo Takahashi, Michiko Mandai, Take Matsuyama, Suguru Yamasaki, Tomoyo Hashiguchi, Atsushi Kuwahara, Akiyoshi Kishino, Takehito Watanabe, Mototsugu Eiraku and Tōru Kimura and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Biochemical and Biophysical Research Communications and Journal of Affective Disorders.

In The Last Decade

Hung‐Ya Tu

19 papers receiving 332 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Hung‐Ya Tu	318	222	62	48	15	22	340
Kiyoharu J. Miyagishima	292 0.9×	137 0.6×	83 1.3×	37 0.8×	18 1.2×	21	367
Momo Fujii	306 1.0×	195 0.9×	52 0.8×	28 0.6×	12 0.8×	10	338
Nozie D. Aghaizu	277 0.9×	157 0.7×	46 0.7×	42 0.9×	23 1.5×	9	325
Bin Lin	296 0.9×	199 0.9×	53 0.9×	50 1.0×	13 0.9×	11	358
Chenying Guo	220 0.7×	136 0.6×	73 1.2×	35 0.7×	19 1.3×	15	328
Dorit Raz-Prag	218 0.7×	186 0.8×	99 1.6×	28 0.6×	8 0.5×	14	376
Xinlan Lei	316 1.0×	99 0.4×	74 1.2×	39 0.8×	38 2.5×	16	360
Koji Nishiguchi	215 0.7×	83 0.4×	72 1.2×	25 0.5×	16 1.1×	22	305
Anna B. Graca	225 0.7×	90 0.4×	103 1.7×	37 0.8×	14 0.9×	9	295
David M. Chacko	316 1.0×	148 0.7×	104 1.7×	91 1.9×	24 1.6×	12	397

Countries citing papers authored by Hung‐Ya Tu

Since Specialization

Citations

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

Fields of papers citing papers by Hung‐Ya Tu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hung‐Ya Tu. 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 Hung‐Ya Tu. The network helps show where Hung‐Ya Tu may publish in the future.

Co-authorship network of co-authors of Hung‐Ya Tu

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

All Works

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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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