Hye Jin Wang

21 total papers · 618 total citations
14 papers, 500 citations indexed

About

Hye Jin Wang is a scholar working on Surgery, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Hye Jin Wang has authored 14 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Surgery, 6 papers in Molecular Biology and 6 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Hye Jin Wang's work include Lipoproteins and Cardiovascular Health (5 papers), Cancer, Lipids, and Metabolism (3 papers) and Metabolism, Diabetes, and Cancer (3 papers). Hye Jin Wang is often cited by papers focused on Lipoproteins and Cardiovascular Health (5 papers), Cancer, Lipids, and Metabolism (3 papers) and Metabolism, Diabetes, and Cancer (3 papers). Hye Jin Wang collaborates with scholars based in South Korea, United States and Canada. Hye Jin Wang's co-authors include Eun Seok Kang, Bong Soo, Yong‐ho Lee, Byung‐Wan Lee, Gyuri Kim, Myung‐Shik Lee, Soo Hyun Kim, Hyangkyu Lee, Chul Woo Ahn and Eun Yeong Choe and has published in prestigious journals such as PLoS ONE, Scientific Reports and Transplantation.

In The Last Decade

Hye Jin Wang

14 papers receiving 493 citations

Author Peers

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

Author						Papers	Cites
Hye Jin Wang	196	161	146	133	63	14	500
Kayo Taketa	101 0.5×	203 1.3×	214 1.5×	140 1.1×	61 1.0×	14	535
Claudia Lanti	168 0.9×	98 0.6×	77 0.5×	110 0.8×	37 0.6×	10	447
Qian Zhuang	117 0.6×	164 1.0×	96 0.7×	82 0.6×	54 0.9×	26	473
Seok‐Woo Hong	165 0.8×	224 1.4×	173 1.2×	187 1.4×	61 1.0×	22	521
A. Tselepis	198 1.0×	80 0.5×	166 1.1×	132 1.0×	100 1.6×	23	540
Catriona McNeil	189 1.0×	125 0.8×	80 0.5×	137 1.0×	85 1.3×	13	474
Kumiko Shiba	264 1.3×	197 1.2×	171 1.2×	281 2.1×	50 0.8×	18	590
Alexandros Sachinidis	124 0.6×	145 0.9×	113 0.8×	231 1.7×	115 1.8×	18	594
Stefania Giuliano	225 1.1×	176 1.1×	110 0.8×	303 2.3×	34 0.5×	22	581
S. C. Riemens	150 0.8×	127 0.8×	220 1.5×	367 2.8×	97 1.5×	19	593

Countries citing papers authored by Hye Jin Wang

Since Specialization

Citations

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

Fields of papers citing papers by Hye Jin Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hye Jin Wang. 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 Hye Jin Wang. The network helps show where Hye Jin Wang may publish in the future.

Co-authorship network of co-authors of Hye Jin Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Hye Jin Wang. A scholar is included among the top collaborators of Hye Jin Wang 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 Hye Jin Wang. Hye Jin Wang 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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