Hee‐Jeong Yang

42 total papers · 1.1k total citations
29 papers, 649 citations indexed

About

Hee‐Jeong Yang is a scholar working on Infectious Diseases, Food Science and Endocrinology. According to data from OpenAlex, Hee‐Jeong Yang has authored 29 papers receiving a total of 649 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Infectious Diseases, 8 papers in Food Science and 6 papers in Endocrinology. Recurrent topics in Hee‐Jeong Yang's work include Salmonella and Campylobacter epidemiology (8 papers), Escherichia coli research studies (5 papers) and Tuberculosis Research and Epidemiology (4 papers). Hee‐Jeong Yang is often cited by papers focused on Salmonella and Campylobacter epidemiology (8 papers), Escherichia coli research studies (5 papers) and Tuberculosis Research and Epidemiology (4 papers). Hee‐Jeong Yang collaborates with scholars based in United States, South Korea and Chile. Hee‐Jeong Yang's co-authors include Helene Andrews‐Polymenis, Carlos A. Santiviago, Lydia M. Bogomolnaya, Andreas J. Bäumler, Inés Contreras, Carlos J. Blondel, Michael McClelland, Seockheon Lee, Steffen Porwollik and Yun‐Chul Chung and has published in prestigious journals such as Nature Communications, PLoS ONE and The Journal of Infectious Diseases.

In The Last Decade

Hee‐Jeong Yang

27 papers receiving 635 citations

Author Peers

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

Author						Papers	Cites
Hee‐Jeong Yang	249	214	204	179	93	29	649
Sandra Van Puyvelde	286 1.1×	228 1.1×	129 0.6×	245 1.4×	113 1.2×	25	757
Lydia M. Bogomolnaya	242 1.0×	219 1.0×	122 0.6×	343 1.9×	103 1.1×	42	793
P. B. Smith	129 0.5×	248 1.2×	155 0.8×	224 1.3×	105 1.1×	41	761
D Monget	186 0.7×	213 1.0×	87 0.4×	258 1.4×	54 0.6×	22	709
Tetsuya Harada	212 0.9×	233 1.1×	265 1.3×	114 0.6×	76 0.8×	42	639
Weipeng Guo	285 1.1×	149 0.7×	166 0.8×	176 1.0×	110 1.2×	43	783
Alejandro A. Hidalgo	189 0.8×	132 0.6×	76 0.4×	237 1.3×	90 1.0×	37	704
Ahmed S. Khairalla	179 0.7×	117 0.5×	128 0.6×	245 1.4×	147 1.6×	26	791
Vijaya Kumar Deekshit	138 0.6×	152 0.7×	171 0.8×	165 0.9×	76 0.8×	42	680
Erminia La Camera	175 0.7×	118 0.6×	138 0.7×	151 0.8×	59 0.6×	24	597

Countries citing papers authored by Hee‐Jeong Yang

Since Specialization

Citations

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

Fields of papers citing papers by Hee‐Jeong Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hee‐Jeong Yang. 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 Hee‐Jeong Yang. The network helps show where Hee‐Jeong Yang may publish in the future.

Co-authorship network of co-authors of Hee‐Jeong Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Hee‐Jeong Yang. A scholar is included among the top collaborators of Hee‐Jeong Yang 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 Hee‐Jeong Yang. Hee‐Jeong Yang 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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