Sun‐Mi Park

2.1k total citations
89 papers, 1.4k citations indexed

About

Sun‐Mi Park is a scholar working on Molecular Biology, Artificial Intelligence and Oncology. According to data from OpenAlex, Sun‐Mi Park has authored 89 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 15 papers in Artificial Intelligence and 14 papers in Oncology. Recurrent topics in Sun‐Mi Park's work include Coding theory and cryptography (15 papers), Cryptography and Residue Arithmetic (12 papers) and Thyroid Cancer Diagnosis and Treatment (8 papers). Sun‐Mi Park is often cited by papers focused on Coding theory and cryptography (15 papers), Cryptography and Residue Arithmetic (12 papers) and Thyroid Cancer Diagnosis and Treatment (8 papers). Sun‐Mi Park collaborates with scholars based in South Korea, United States and Japan. Sun‐Mi Park's co-authors include Sheue-yann Cheng, Michael G. Kharas, Ernst Lengyel, Marcus E. Peter, Xuguang Zhu, Mark C. Willingham, Andrea E. Murmann, Marion Zillhardt, Benjamin Boyerinas and Christina S. Leslie and has published in prestigious journals such as Nature Communications, The Journal of Experimental Medicine and Genes & Development.

In The Last Decade

Sun‐Mi Park

83 papers receiving 1.4k citations

Peers

Sun‐Mi Park
Comparison fields: 5 of 123
  • Molecular Biology 738
  • Oncology 319
  • Cancer Research 314
  • Endocrinology, Diabetes and Metabolism 186
  • Immunology 145
Replace Armel Hervé Nwabo Kamdje with:
Armel Hervé Nwabo Kamdje Cameroon
Huan Deng China
Qianchuan He United States
Shipra Agrawal United States
Helen Boyd United Kingdom
Fujun Li China
Clare C. Davies United Kingdom
Shuqi Mao China
Karol L. Thompson United States
Xiaodong Xie China
Armel Hervé Nwabo Kamdje Cameroon View profile →
Citations per field, relative to Sun‐Mi Park
Sun‐Mi Park · 1×
Citations per year, relative to Sun‐Mi Park
Sun‐Mi Park · 1×

Countries citing papers authored by Sun‐Mi Park

Since Specialization
Citations

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

Fields of papers citing papers by Sun‐Mi Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sun‐Mi Park. 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 Sun‐Mi Park. The network helps show where Sun‐Mi Park may publish in the future.

Co-authorship network of co-authors of Sun‐Mi Park

This figure shows the co-authorship network connecting the top 25 collaborators of Sun‐Mi Park. A scholar is included among the top collaborators of Sun‐Mi Park 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 Sun‐Mi Park. Sun‐Mi Park 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 13
5 12
6 2
7 3
8 5
9 51
10 36
11 35
12 20
13 110
14 41
15 19
16 37
17
The miR-200 family determines the epithelial phenotype of cancer cells by targeting the E-cadherin repressors
5
18
Effect of Ethephon, Paclobutrazol, and Uniconazole on Growth and Flowering of Potted Yarrow, Achillea millefolium ‘Cerise Queen’
0
19 32
20 1

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026