Na-Oh Yunn

18 total papers · 434 total citations
12 papers, 290 citations indexed

About

Na-Oh Yunn is a scholar working on Molecular Biology, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Na-Oh Yunn has authored 12 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 4 papers in Surgery and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Na-Oh Yunn's work include Advanced biosensing and bioanalysis techniques (6 papers), Receptor Mechanisms and Signaling (5 papers) and Metabolism, Diabetes, and Cancer (4 papers). Na-Oh Yunn is often cited by papers focused on Advanced biosensing and bioanalysis techniques (6 papers), Receptor Mechanisms and Signaling (5 papers) and Metabolism, Diabetes, and Cancer (4 papers). Na-Oh Yunn collaborates with scholars based in South Korea, Sweden and Denmark. Na-Oh Yunn's co-authors include Sung Ho Ryu, Ara Koh, Fredrik Bäckhed, Rosie Perkins, Louise Mannerås-Holm, Peter M. Nilsson, Per‐Olof Berggren, Antonio Molinaro, J. G. Smith and Yunje Cho and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Cell Metabolism.

In The Last Decade

Na-Oh Yunn

12 papers receiving 289 citations

Author Peers

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

Author						Papers	Cites
Na-Oh Yunn	229	50	47	40	23	12	290
Heike Berthold	119 0.5×	55 1.1×	43 0.9×	39 1.0×	12 0.5×	17	317
Katelyn Smith	196 0.9×	80 1.6×	21 0.4×	14 0.3×	51 2.2×	11	320
Daniel F. Lyons	132 0.6×	35 0.7×	88 1.9×	103 2.6×	12 0.5×	16	320
Aditi Swarup	213 0.9×	33 0.7×	20 0.4×	13 0.3×	23 1.0×	13	307
Chen Qiu	215 0.9×	29 0.6×	23 0.5×	35 0.9×	20 0.9×	18	308
Katharina Bottermann	117 0.5×	37 0.7×	40 0.9×	15 0.4×	22 1.0×	15	276
Dibyendu Chakraborty	196 0.9×	52 1.0×	33 0.7×	16 0.4×	27 1.2×	16	319
Letícia Meneguello	201 0.9×	38 0.8×	21 0.4×	10 0.3×	34 1.5×	10	309
Michael E. Doche	138 0.6×	64 1.3×	57 1.2×	49 1.2×	30 1.3×	12	322
Casper K. Larsen	150 0.7×	37 0.7×	18 0.4×	15 0.4×	11 0.5×	15	283

Countries citing papers authored by Na-Oh Yunn

Since Specialization

Citations

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

Fields of papers citing papers by Na-Oh Yunn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Na-Oh Yunn. 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-Oh Yunn. The network helps show where Na-Oh Yunn may publish in the future.

Co-authorship network of co-authors of Na-Oh Yunn

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