Eun Sook Chung

20 total papers · 433 total citations
16 papers, 365 citations indexed

About

Eun Sook Chung is a scholar working on Molecular Biology, Neurology and Pharmacology. According to data from OpenAlex, Eun Sook Chung has authored 16 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Neurology and 4 papers in Pharmacology. Recurrent topics in Eun Sook Chung's work include Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Healthcare and Venom Research (3 papers) and Pain Mechanisms and Treatments (2 papers). Eun Sook Chung is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Healthcare and Venom Research (3 papers) and Pain Mechanisms and Treatments (2 papers). Eun Sook Chung collaborates with scholars based in South Korea, United States and Russia. Eun Sook Chung's co-authors include Hyunsu Bae, Gihyun Lee, Hyunseong Kim, Byung Kwan Jin, Eugene Bok, Hyung Hwan Baik, Soojin Park, Minsook Ye, Young Cheul Chung and Hwan‐Suck Chung and has published in prestigious journals such as The Journal of Immunology, Brain Research and Biochemical and Biophysical Research Communications.

In The Last Decade

Eun Sook Chung

15 papers receiving 358 citations

Author Peers

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

Author						Papers	Cites
Eun Sook Chung	117	96	84	82	75	16	365
Mohammad Haddadi	71 0.6×	27 0.3×	101 1.2×	51 0.6×	36 0.5×	32	343
Marson Putra	56 0.5×	74 0.8×	89 1.1×	96 1.2×	18 0.2×	15	349
Ah-Reum Doo	124 1.1×	33 0.3×	65 0.8×	29 0.4×	114 1.5×	9	340
Badriya Al-Rahbi	78 0.7×	97 1.0×	59 0.7×	31 0.4×	13 0.2×	14	384
Yan Sun	38 0.3×	43 0.4×	137 1.6×	58 0.7×	24 0.3×	22	392
Robert S. Cross	80 0.7×	21 0.2×	125 1.5×	121 1.5×	39 0.5×	18	402
Juan I. Romero	56 0.5×	32 0.3×	127 1.5×	23 0.3×	31 0.4×	20	396
Esraa A. Kandil	50 0.4×	46 0.5×	134 1.6×	12 0.1×	81 1.1×	16	352
Geum-Sil Cho	44 0.4×	129 1.3×	133 1.6×	37 0.5×	37 0.5×	14	384
Nancy Scardua Binda	36 0.3×	24 0.3×	157 1.9×	24 0.3×	18 0.2×	25	342

Countries citing papers authored by Eun Sook Chung

Since Specialization

Citations

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

Fields of papers citing papers by Eun Sook Chung

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eun Sook Chung. 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 Eun Sook Chung. The network helps show where Eun Sook Chung may publish in the future.

Co-authorship network of co-authors of Eun Sook Chung

This figure shows the co-authorship network connecting the top 25 collaborators of Eun Sook Chung. A scholar is included among the top collaborators of Eun Sook Chung 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 Eun Sook Chung. Eun Sook Chung 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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