Yunseon Choi

461 citations
48 papers · 302 indexed · h-index 10
Topics
Semantic Web and Ontologies (6 papers)Colorectal Cancer Surgical Treatments (5 papers)Lung Cancer Diagnosis and Treatment (4 papers)

In The Last Decade

Yunseon Choi

44 papers receiving 300 citations

Peers

Yunseon Choi
Comparison fields: 5 of 84
  • Oncology 97
  • Surgery 77
  • Molecular Biology 74
  • Pulmonary and Respiratory Medicine 56
  • Cancer Research 43
Replace Ruud van Stiphout with:
Ruud van Stiphout Netherlands
Shi‐Ting Huang China
Veronika Voronova United States
Xue Meng China
Thomas H. Douglas United States
A Stone United Kingdom
Kevin Rogacki United States
Guoxian Guan China
Jinlan He China
Thomas M. Wheeler United States
Yunseon Choi relative to Ruud van Stiphout Netherlands Ruud van Stiphout's profile →
Citations per field
00.5×1.5×1.9×
Ruud van Stiphout · 1×
Citations per year

Countries citing papers authored by Yunseon Choi

Since Specialization
Citations

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

Fields of papers citing papers by Yunseon Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunseon Choi

This figure shows the co-authorship network connecting the top 25 collaborators of Yunseon Choi. A scholar is included among the top collaborators of Yunseon Choi 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 Yunseon Choi. Yunseon Choi 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
#WorkIndexed citations
1 2
2 2
3 1
4 1
5 1
6 5
7 0
8 22
9 2
10 8
11 9
12 1
13 13
14 7
15 15
16 29
17 2
18
Implications of Social Tagging for Digital Libraries
1
19
Axiomatizing FRBR : An Exercise in the Formal Ontology of Cultural Objects
3
20 9

About Yunseon Choi

Yunseon Choi is a scholar working on Communication, Oncology and Information Systems, having authored 48 papers that have together received 302 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (6 papers), Colorectal Cancer Surgical Treatments (5 papers) and Lung Cancer Diagnosis and Treatment (4 papers). The work is most often cited by research in Oncology (97 citations), Radiation (30 citations) and Cancer Research (43 citations). Yunseon Choi has collaborated with scholars based in South Korea, United States and Australia. Frequent co-authors include Yun‐Han Lee, Su Jung Shim, Jihye Cha, Nam Kyu Kim, Ki Chang Nam, Jinsil Seong, Ki Chang Keum, Woong Sub Koom, Sunmi Jo and Tae Hyun Kim. Their work appears in journals such as SHILAP Revista de lepidopterología, Biochemical and Biophysical Research Communications and Frontiers in Endocrinology.

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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