Na‐Ri Shin

128 total papers · 2.9k total citations
88 papers, 2.1k citations indexed

About

Na‐Ri Shin is a scholar working on Molecular Biology, Ecology and Immunology. According to data from OpenAlex, Na‐Ri Shin has authored 88 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Molecular Biology, 40 papers in Ecology and 19 papers in Immunology. Recurrent topics in Na‐Ri Shin's work include Genomics and Phylogenetic Studies (57 papers), Microbial Community Ecology and Physiology (27 papers) and Aquaculture disease management and microbiota (18 papers). Na‐Ri Shin is often cited by papers focused on Genomics and Phylogenetic Studies (57 papers), Microbial Community Ecology and Physiology (27 papers) and Aquaculture disease management and microbiota (18 papers). Na‐Ri Shin collaborates with scholars based in South Korea, United States and Philippines. Na‐Ri Shin's co-authors include Jin‐Woo Bae, Tae Woong Whon, Min‐Soo Kim, Dong‐Wook Hyun, Seong Woon Roh, Pil Soo Kim, Mi‐Ja Jung, Joon Yong Kim, Ji‐Hyun Yun and Young‐Do Nam and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Applied and Environmental Microbiology.

In The Last Decade

Na‐Ri Shin

84 papers receiving 2.1k citations

Hit Papers

Insect Gut Bacterial Dive... 2014 2026 2018 2022 2014 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Na‐Ri Shin 1.0k 597 553 184 182 88 2.1k
Mi‐Ja Jung 840 0.8× 657 1.1× 415 0.8× 230 1.3× 148 0.8× 59 1.8k
Martin Kostovčík 563 0.6× 386 0.6× 440 0.8× 166 0.9× 235 1.3× 35 1.5k
Alejandro Sánchez‐Flores 1.1k 1.1× 204 0.3× 397 0.7× 138 0.8× 251 1.4× 92 2.3k
Sean C. Daugherty 1.0k 1.0× 327 0.5× 512 0.9× 247 1.3× 331 1.8× 45 2.4k
Ji‐Hyun Yun 547 0.5× 680 1.1× 248 0.4× 237 1.3× 128 0.7× 62 1.5k
Milind S. Patole 662 0.7× 392 0.7× 217 0.4× 162 0.9× 107 0.6× 66 1.8k
Seung Chul Shin 924 0.9× 991 1.7× 434 0.8× 267 1.5× 284 1.6× 90 2.6k
Doo‐Sang Park 1.1k 1.1× 936 1.6× 469 0.8× 257 1.4× 590 3.2× 118 2.6k
Matthew P. Padula 964 0.9× 244 0.4× 586 1.1× 256 1.4× 355 2.0× 152 3.3k
Rodolpho Mattos Albano 1.2k 1.2× 211 0.4× 377 0.7× 326 1.8× 177 1.0× 136 2.8k

Countries citing papers authored by Na‐Ri Shin

Since Specialization
Citations

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

Fields of papers citing papers by Na‐Ri Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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