Eun Suk Hwang

13 total papers · 573 total citations
11 papers, 496 citations indexed

About

Eun Suk Hwang is a scholar working on Oncology, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Eun Suk Hwang has authored 11 papers receiving a total of 496 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 6 papers in Molecular Biology and 5 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Eun Suk Hwang's work include Cytokine Signaling Pathways and Interactions (5 papers), Cancer-related Molecular Pathways (4 papers) and Thyroid Cancer Diagnosis and Treatment (4 papers). Eun Suk Hwang is often cited by papers focused on Cytokine Signaling Pathways and Interactions (5 papers), Cancer-related Molecular Pathways (4 papers) and Thyroid Cancer Diagnosis and Treatment (4 papers). Eun Suk Hwang collaborates with scholars based in South Korea, United States and Puerto Rico. Eun Suk Hwang's co-authors include Hyo Kyun Chung, Minho Shong, Jae Mi Suh, Jung Hwan Hwang, Hohyun Kim, Jung Hun Song, Jin‐Man Kim, Dong Wook Kim, Ki Cheol Park and Heung Kyu Ro and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Eun Suk Hwang

11 papers receiving 483 citations

Author Peers

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

Author						Papers	Cites
Eun Suk Hwang	260	213	134	113	60	11	496
Kathryn A. Tunny	211 0.8×	129 0.6×	194 1.4×	115 1.0×	69 1.1×	8	527
Mitsufumi Wada	264 1.0×	155 0.7×	187 1.4×	64 0.6×	78 1.3×	10	465
Maria Chiara Anania	257 1.0×	141 0.7×	90 0.7×	96 0.8×	108 1.8×	15	555
Sandy Laue	190 0.7×	94 0.4×	159 1.2×	106 0.9×	65 1.1×	12	451
Stefania Santopietro	481 1.9×	147 0.7×	123 0.9×	40 0.4×	136 2.3×	9	612
Dany Gauthier	215 0.8×	86 0.4×	62 0.5×	75 0.7×	98 1.6×	15	595
Naila Chughtai	328 1.3×	343 1.6×	46 0.3×	106 0.9×	106 1.8×	9	557
Robert Hägerkvist	335 1.3×	98 0.5×	49 0.4×	95 0.8×	58 1.0×	9	536
June B. Santon	375 1.4×	196 0.9×	78 0.6×	53 0.5×	38 0.6×	9	563
Karl Hartmut Richter	371 1.4×	148 0.7×	58 0.4×	121 1.1×	116 1.9×	15	593

Countries citing papers authored by Eun Suk Hwang

Since Specialization

Citations

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

Fields of papers citing papers by Eun Suk Hwang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eun Suk Hwang

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