Yunro Chung

1.5k total citations
57 papers, 1.1k citations indexed

About

Yunro Chung is a scholar working on Molecular Biology, Orthodontics and Epidemiology. According to data from OpenAlex, Yunro Chung has authored 57 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Orthodontics and 8 papers in Epidemiology. Recurrent topics in Yunro Chung's work include Dental materials and restorations (8 papers), SARS-CoV-2 and COVID-19 Research (6 papers) and Dental Implant Techniques and Outcomes (5 papers). Yunro Chung is often cited by papers focused on Dental materials and restorations (8 papers), SARS-CoV-2 and COVID-19 Research (6 papers) and Dental Implant Techniques and Outcomes (5 papers). Yunro Chung collaborates with scholars based in United States, Brazil and South Korea. Yunro Chung's co-authors include Yuseok Moon, James J. Pestka, Hui-Ren Zhou, Ricardo Walter, Taewoo Lee, Ronald J. Falk, Caroline J. Poulton, Susan L. Hogan, Patrick H. Nachman and Vimal K. Derebail and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Yunro Chung

48 papers receiving 1.1k citations

Peers

Yunro Chung
Comparison fields: 5 of 118
  • Plant Science 362
  • Pulmonary and Respiratory Medicine 195
  • Orthodontics 177
  • Molecular Biology 147
  • Nephrology 121
Replace Jane Sansom with:
Jane Sansom United Kingdom
C.‐C. Tsai Taiwan
Sang-Ho Lee South Korea
John Butcher United Kingdom
Kumar Chandan Srivastava India
Cássio Luiz Coutinho Almeida-da-Silva United States
Takao Hirofuji Japan
Kirsti Kari Finland
Katsuyuki Kozai Japan
J. Sánchez‐Pérez Spain
Jane Sansom United Kingdom View profile →
Citations per field, relative to Yunro Chung
Yunro Chung · 1×
Citations per year, relative to Yunro Chung
Yunro Chung · 1×

Countries citing papers authored by Yunro Chung

Since Specialization
Citations

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

Fields of papers citing papers by Yunro Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunro Chung

This figure shows the co-authorship network connecting the top 25 collaborators of Yunro Chung. A scholar is included among the top collaborators of Yunro 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 Yunro Chung. Yunro Chung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 1
4 0
5 0
6 3
7 9
8 4
9 5
10 1
11 4
12 26
13 4
14 24
15 11
16 8
17 56
18 20
19 30
20 417

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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