Seil Jang

19 total papers · 516 total citations
10 papers, 301 citations indexed

About

Seil Jang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Oncology. According to data from OpenAlex, Seil Jang has authored 10 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 2 papers in Oncology. Recurrent topics in Seil Jang's work include Neuroscience and Neuropharmacology Research (4 papers), Ion channel regulation and function (3 papers) and Lipid Membrane Structure and Behavior (3 papers). Seil Jang is often cited by papers focused on Neuroscience and Neuropharmacology Research (4 papers), Ion channel regulation and function (3 papers) and Lipid Membrane Structure and Behavior (3 papers). Seil Jang collaborates with scholars based in South Korea, United States and Germany. Seil Jang's co-authors include Eunjoon Kim, Jessica M. Fawcett‐Patel, María Dolores Martin‐de‐Saavedra, Peter Penzes, Katherine J. Kopeikina, Elior Peles, Anthony Bach, Olga Varea, Britta Schürmann and Seungnam Han and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and The EMBO Journal.

In The Last Decade

Seil Jang

10 papers receiving 299 citations

Author Peers

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

Author						Papers	Cites
Seil Jang	183	122	77	67	65	10	301
Andrew D. Nelson	138 0.8×	133 1.1×	53 0.7×	77 1.1×	54 0.8×	11	315
Sean A. Merrill	184 1.0×	130 1.1×	69 0.9×	48 0.7×	43 0.7×	8	303
Sridhara Chakravarthy	146 0.8×	161 1.3×	42 0.5×	45 0.7×	75 1.2×	10	331
Amila Zuko	214 1.2×	81 0.7×	48 0.6×	106 1.6×	58 0.9×	10	317
Wendy S. Chen	186 1.0×	155 1.3×	26 0.3×	47 0.7×	62 1.0×	12	324
Alessandro Ciccarelli	171 0.9×	118 1.0×	41 0.5×	52 0.8×	34 0.5×	13	344
Gerald Bothe	191 1.0×	96 0.8×	32 0.4×	63 0.9×	47 0.7×	7	333
Tyrone DeSpenza	156 0.9×	77 0.6×	26 0.3×	79 1.2×	49 0.8×	13	292
Olga Varea	190 1.0×	100 0.8×	53 0.7×	133 2.0×	51 0.8×	6	357
Juan José Casañas	265 1.4×	114 0.9×	66 0.9×	37 0.6×	21 0.3×	9	350

Countries citing papers authored by Seil Jang

Since Specialization

Citations

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

Fields of papers citing papers by Seil Jang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seil Jang

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