Tae‐Ryong Riew

42 total papers · 526 total citations
31 papers, 369 citations indexed

About

Tae‐Ryong Riew is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cell Biology. According to data from OpenAlex, Tae‐Ryong Riew has authored 31 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cellular and Molecular Neuroscience, 13 papers in Molecular Biology and 6 papers in Cell Biology. Recurrent topics in Tae‐Ryong Riew's work include Neurogenesis and neuroplasticity mechanisms (6 papers), Neuroscience and Neuropharmacology Research (5 papers) and Axon Guidance and Neuronal Signaling (4 papers). Tae‐Ryong Riew is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (6 papers), Neuroscience and Neuropharmacology Research (5 papers) and Axon Guidance and Neuronal Signaling (4 papers). Tae‐Ryong Riew collaborates with scholars based in South Korea. Tae‐Ryong Riew's co-authors include Mun‐Yong Lee, Hong Lim Kim, Yoo‐Jin Shin, Joohee Park, In‐Beom Kim, Gyu Hyun Kim, Jooyoung Jung, Joo Young, Uhtaek Oh and Jeong‐Heon Choi and has published in prestigious journals such as Neuron, PLoS ONE and Scientific Reports.

In The Last Decade

Tae‐Ryong Riew

30 papers receiving 368 citations

Author Peers

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

Author						Papers	Cites
Tae‐Ryong Riew	175	92	78	73	38	31	369
Xiao Ren	148 0.8×	89 1.0×	124 1.6×	71 1.0×	36 0.9×	25	378
S. Bl�mcke	109 0.6×	128 1.4×	83 1.1×	62 0.8×	29 0.8×	24	396
Ava Nasrolahi	159 0.9×	66 0.7×	52 0.7×	48 0.7×	61 1.6×	27	363
Claire Benetollo	120 0.7×	106 1.2×	29 0.4×	46 0.6×	46 1.2×	18	391
Michio Sano	104 0.6×	161 1.8×	79 1.0×	56 0.8×	67 1.8×	15	335
Kyoko Iinuma	121 0.7×	74 0.8×	150 1.9×	64 0.9×	103 2.7×	23	370
Chinthasagar Bastian	164 0.9×	91 1.0×	66 0.8×	107 1.5×	36 0.9×	16	344
Yanmin Song	199 1.1×	48 0.5×	65 0.8×	36 0.5×	52 1.4×	30	423
José Carlos Gómez Sánchez	146 0.8×	44 0.5×	42 0.5×	66 0.9×	71 1.9×	28	392
Tamaki Iwase	142 0.8×	163 1.8×	121 1.6×	30 0.4×	86 2.3×	19	415

Countries citing papers authored by Tae‐Ryong Riew

Since Specialization

Citations

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

Fields of papers citing papers by Tae‐Ryong Riew

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tae‐Ryong Riew. 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 Tae‐Ryong Riew. The network helps show where Tae‐Ryong Riew may publish in the future.

Co-authorship network of co-authors of Tae‐Ryong Riew

This figure shows the co-authorship network connecting the top 25 collaborators of Tae‐Ryong Riew. A scholar is included among the top collaborators of Tae‐Ryong Riew 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 Tae‐Ryong Riew. Tae‐Ryong Riew 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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