Yoonjeong Cha

884 citations
11 papers · 487 indexed · 1 hit paper · h-index 6
Topics
Computational Drug Discovery Methods (4 papers)Genetic Neurodegenerative Diseases (3 papers)SARS-CoV-2 and COVID-19 Research (2 papers)
Journals
SHILAP Revista de lepidopterologíaNeurologyHuman Molecular Genetics

In The Last Decade

Yoonjeong Cha

11 papers receiving 479 citations

Hit Papers

Drug repurposing from the perspective of pharmaceutical c...2017202620202023201750100150200250

Peers

Yoonjeong Cha
Comparison fields: 5 of 96
  • Molecular Biology 246
  • Cellular and Molecular Neuroscience 107
  • Computational Theory and Mathematics 106
  • Infectious Diseases 77
  • Neurology 59
Replace José Manuel Mas with:
José Manuel Mas Spain
Ya He China
I. Grossman Israel
Ambrish Saxena Germany
Frank S Ong United States
Sangeeta Raje United States
Junhao Li China
Jodie L. Guy United Kingdom
Jessica M. Strasser United States
Ted M. Lakowski Canada
Yoonjeong Cha relative to José Manuel Mas Spain José Manuel Mas's profile →
Citations per field
00.5×5.1×
José Manuel Mas · 1×
Citations per year

Countries citing papers authored by Yoonjeong Cha

Since Specialization
Citations

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

Fields of papers citing papers by Yoonjeong Cha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoonjeong Cha

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 2
2 11
3 63
4 1
5 2
6 35
7 4
8 1
9
Drug repurposing from the perspective of pharmaceutical companiesbreakdown →
269
10 34
11 65

About Yoonjeong Cha

Yoonjeong Cha is a scholar working on Computational Theory and Mathematics, Biophysics and Cellular and Molecular Neuroscience, having authored 11 papers that have together received 487 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (4 papers), Genetic Neurodegenerative Diseases (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Computational Theory and Mathematics (106 citations), Biological Psychiatry (15 citations) and Health Informatics (8 citations). Yoonjeong Cha has collaborated with scholars based in Israel, United States and Singapore. Frequent co-authors include Rebecca Kusko, Ian J. Reynolds, Benjamin Zeskind, Spyros Papapetropoulos, Gregory Koytiger, Deepak Kumar, Jeffrey Ross, I. Grossman, Michael R. Hayden and Sarah Kolitz. Their work appears in journals such as SHILAP Revista de lepidopterología, Neurology and Human Molecular Genetics.

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