Soon-Do Cha

About

Soon-Do Cha is a scholar working on Molecular Biology, Obstetrics and Gynecology and Epidemiology. According to data from OpenAlex, Soon-Do Cha has authored 15 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Obstetrics and Gynecology and 3 papers in Epidemiology. Recurrent topics in Soon-Do Cha’s work include Uterine Myomas and Treatments (3 papers), Ovarian cancer diagnosis and treatment (2 papers) and Endometriosis Research and Treatment (2 papers). Soon-Do Cha is often cited by papers focused on Uterine Myomas and Treatments (3 papers), Ovarian cancer diagnosis and treatment (2 papers) and Endometriosis Research and Treatment (2 papers). Soon-Do Cha collaborates with scholars based in South Korea and United States. Soon-Do Cha's co-authors include Chi‐Heum Cho, Sang‐Hoon Kwon, Insoo Bae, So‐Jin Shin, Sabarish Ramachandran, Seong‐Il Suh, Won‐Ki Baek, Gunho Lee, Dae‐Kyu Song and Rosa Chung and has published in prestigious journals such as AJP Cell Physiology, Cancer Letters and Gynecologic Oncology.

In The Last Decade

Co-authorship network of co-authors of Soon-Do Cha i

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Fields of papers citing papers by Soon-Do Cha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Soon-Do Cha

Since Specialization

Citations

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

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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