Shin‐Young Na

17 total papers · 932 total citations
14 papers, 736 citations indexed

About

Shin‐Young Na is a scholar working on Immunology, Neurology and Oncology. According to data from OpenAlex, Shin‐Young Na has authored 14 papers receiving a total of 736 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology, 5 papers in Neurology and 3 papers in Oncology. Recurrent topics in Shin‐Young Na's work include T-cell and B-cell Immunology (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Immune Cell Function and Interaction (5 papers). Shin‐Young Na is often cited by papers focused on T-cell and B-cell Immunology (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Immune Cell Function and Interaction (5 papers). Shin‐Young Na collaborates with scholars based in Germany, United States and United Kingdom. Shin‐Young Na's co-authors include Roland Veltkamp, Éva Mracskó, Arthur Liesz, Thomas Hünig, Ehsan Javidi, Tatjana Eigenbrod, Peter P. Nawroth, Huan Yang, Mustafa Akhisaroğlu and Thomas Fleming and has published in prestigious journals such as Journal of Neuroscience, Immunity and The Journal of Immunology.

In The Last Decade

Shin‐Young Na

14 papers receiving 732 citations

Author Peers

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

Author Last Decade Papers Cites
Shin‐Young Na 344 305 179 165 150 14 736
Benjamin Hassid 302 0.9× 200 0.7× 195 1.1× 120 0.7× 197 1.3× 18 813
Denise Harhausen 357 1.0× 321 1.1× 209 1.2× 141 0.9× 81 0.5× 13 713
Henrike Bauer 496 1.4× 238 0.8× 177 1.0× 70 0.4× 141 0.9× 12 696
Yukiya Suzuki 186 0.5× 122 0.4× 183 1.0× 141 0.9× 130 0.9× 16 649
Weichen Shi 204 0.6× 146 0.5× 528 2.9× 53 0.3× 78 0.5× 12 797
Moses Zhang 281 0.8× 272 0.9× 332 1.9× 116 0.7× 57 0.4× 15 650
Andrew S. Mendiola 321 0.9× 183 0.6× 229 1.3× 35 0.2× 57 0.4× 16 708
Lijing Kang 253 0.7× 322 1.1× 324 1.8× 80 0.5× 109 0.7× 14 717
Yasuhiro Kumai 258 0.8× 152 0.5× 117 0.7× 81 0.5× 168 1.1× 17 695
Roslyn A. Taylor 448 1.3× 257 0.8× 173 1.0× 287 1.7× 150 1.0× 10 735

Countries citing papers authored by Shin‐Young Na

Since Specialization
Citations

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

Fields of papers citing papers by Shin‐Young Na

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shin‐Young Na. 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 Shin‐Young Na. The network helps show where Shin‐Young Na may publish in the future.

Co-authorship network of co-authors of Shin‐Young Na

This figure shows the co-authorship network connecting the top 25 collaborators of Shin‐Young Na. A scholar is included among the top collaborators of Shin‐Young Na 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 Shin‐Young Na. Shin‐Young Na 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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2026