Seungjin Na

39 total papers · 1.0k total citations
31 papers, 716 citations indexed

About

Seungjin Na is a scholar working on Molecular Biology, Spectroscopy and Organic Chemistry. According to data from OpenAlex, Seungjin Na has authored 31 papers receiving a total of 716 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 22 papers in Spectroscopy and 1 paper in Organic Chemistry. Recurrent topics in Seungjin Na's work include Advanced Proteomics Techniques and Applications (21 papers), Mass Spectrometry Techniques and Applications (17 papers) and Metabolomics and Mass Spectrometry Studies (10 papers). Seungjin Na is often cited by papers focused on Advanced Proteomics Techniques and Applications (21 papers), Mass Spectrometry Techniques and Applications (17 papers) and Metabolomics and Mass Spectrometry Studies (10 papers). Seungjin Na collaborates with scholars based in South Korea, United States and Singapore. Seungjin Na's co-authors include Eunok Paek, Nuno Bandeira, Kong‐Joo Lee, Jaeho Jeong, Jaeho Jeong, Cheolju Lee, Hwa‐Young Kim, Vineet Bafna, Seong Won and Sunghee Woo and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.

In The Last Decade

Seungjin Na

30 papers receiving 706 citations

Author Peers

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

Author						Papers	Cites
Seungjin Na	591	401	48	44	35	31	716
Evelyn Rampler	608 1.0×	364 0.9×	69 1.4×	44 1.0×	38 1.1×	33	852
Mirko Glinski	528 0.9×	238 0.6×	34 0.7×	46 1.0×	17 0.5×	22	768
Tom Bretschneider	468 0.8×	157 0.4×	45 0.9×	46 1.0×	21 0.6×	36	851
Wade Hines	510 0.9×	374 0.9×	22 0.5×	31 0.7×	64 1.8×	16	742
Tatsuru Sasagawa	611 1.0×	248 0.6×	55 1.1×	61 1.4×	22 0.6×	19	905
William A. LaMarr	430 0.7×	236 0.6×	36 0.8×	63 1.4×	26 0.7×	27	793
Jason C. Rogalski	423 0.7×	132 0.3×	32 0.7×	28 0.6×	22 0.6×	29	641
Tsung‐Heng Tsai	490 0.8×	215 0.5×	43 0.9×	43 1.0×	13 0.4×	26	772
Brian G. Lawhorn	439 0.7×	281 0.7×	32 0.7×	30 0.7×	26 0.7×	22	817
Leah M. Miller	657 1.1×	336 0.8×	50 1.0×	88 2.0×	18 0.5×	16	892

Countries citing papers authored by Seungjin Na

Since Specialization

Citations

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

Fields of papers citing papers by Seungjin Na

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seungjin Na

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