Ryang Kim

614 total citations
9 papers, 265 citations indexed

About

Ryang Kim is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Ryang Kim has authored 9 papers receiving a total of 265 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cellular and Molecular Neuroscience, 5 papers in Cognitive Neuroscience and 4 papers in Molecular Biology. Recurrent topics in Ryang Kim's work include Neuroscience and Neuropharmacology Research (6 papers), Memory and Neural Mechanisms (4 papers) and Receptor Mechanisms and Signaling (3 papers). Ryang Kim is often cited by papers focused on Neuroscience and Neuropharmacology Research (6 papers), Memory and Neural Mechanisms (4 papers) and Receptor Mechanisms and Signaling (3 papers). Ryang Kim collaborates with scholars based in Japan, United Kingdom and South Korea. Ryang Kim's co-authors include Satoshi Kida, Haruhiko Bito, Hiroyuki Okuno, Mio Nonaka, Sayaka Takemoto‐Kimura, Takashi Kawashima, Takashi Namba, Shigeo Uchino, Shinichi Kohsaka and Rie Ishikawa and has published in prestigious journals such as Nature Communications, Neuron and Philosophical Transactions of the Royal Society B Biological Sciences.

In The Last Decade

Ryang Kim

9 papers receiving 264 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryang Kim Japan 7 161 96 79 49 43 9 265
Tomoko Isosaka Japan 9 161 1.0× 107 1.1× 90 1.1× 18 0.4× 32 0.7× 10 313
Christopher E. Vaaga United States 8 234 1.5× 79 0.8× 87 1.1× 39 0.8× 50 1.2× 11 338
Elizabeth Hanson United States 8 220 1.4× 86 0.9× 85 1.1× 45 0.9× 73 1.7× 11 309
Victor Sabanov Belgium 9 137 0.9× 101 1.1× 80 1.0× 26 0.5× 50 1.2× 10 273
Max Anstötz Germany 12 199 1.2× 65 0.7× 96 1.2× 99 2.0× 43 1.0× 23 304
Lingzhen Song China 11 121 0.8× 100 1.0× 55 0.7× 61 1.2× 31 0.7× 27 315
Kevin Ung United States 12 159 1.0× 80 0.8× 71 0.9× 51 1.0× 72 1.7× 14 350
Laura Rovira-Esteban Hungary 11 267 1.7× 65 0.7× 171 2.2× 68 1.4× 37 0.9× 12 340
Xinjun Wang China 7 186 1.2× 99 1.0× 115 1.5× 40 0.8× 45 1.0× 11 315
Elli Leppä Finland 9 278 1.7× 175 1.8× 106 1.3× 21 0.4× 40 0.9× 15 377

Countries citing papers authored by Ryang Kim

Since Specialization
Citations

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

Fields of papers citing papers by Ryang Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryang Kim

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

All Works

9 of 9 papers shown
1.
Imamura, Fumiaki, Haruki Takeuchi, Ryang Kim, et al.. (2017). Nrp2 is sufficient to instruct circuit formation of mitral-cells to mediate odour-induced attractive social responses. Nature Communications. 8(1). 15977–15977. 33 indexed citations
2.
Nonaka, Mio, et al.. (2014). Towards a better understanding of cognitive behaviors regulated by gene expression downstream of activity-dependent transcription factors. Neurobiology of Learning and Memory. 115. 21–29. 23 indexed citations
3.
Nonaka, Mio, Ryang Kim, Hotaka Fukushima, et al.. (2014). Region-Specific Activation of CRTC1-CREB Signaling Mediates Long-Term Fear Memory. Neuron. 84(1). 92–106. 77 indexed citations
4.
Ishikawa, Rie, Ryang Kim, Takashi Namba, et al.. (2014). Time‐dependent enhancement of hippocampus‐dependent memory after treatment with memantine: Implications for enhanced hippocampal adult neurogenesis. Hippocampus. 24(7). 784–793. 45 indexed citations
5.
Nonaka, Mio, Hajime Fujii, Ryang Kim, et al.. (2013). Untangling the two-way signalling route from synapses to the nucleus, and from the nucleus back to the synapses. Philosophical Transactions of the Royal Society B Biological Sciences. 369(1633). 20130150–20130150. 19 indexed citations
6.
Kim, Ryang, Hiroyuki Okuno, & Haruhiko Bito. (2012). Deciphering the molecular rules governing synaptic targeting of the memory-related protein Arc. Communicative & Integrative Biology. 5(5). 496–498. 6 indexed citations
7.
Kim, Ryang, et al.. (2011). Molecular mechanisms for the destabilization and restabilization of reactivated spatial memory in the Morris water maze. Molecular Brain. 4(1). 9–9. 58 indexed citations
8.
Kim, Ryang, Karim Nader, & Satoshi Kida. (2011). Calcineurin in the hippocampus and amygdala is required for destabilization and extinction of retrieved contextual fear memory. Neuroscience Research. 71. e376–e376. 1 indexed citations
9.
Kim, Ryang & Cha‐Yong Choi. (2006). A Linear Function for the Approximation of Accessible Surface Area of Proteins. Protein and Peptide Letters. 13(6). 549–553. 3 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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