Sang-Ho Yoon

1.3k total citations
14 papers, 457 citations indexed

About

Sang-Ho Yoon is a scholar working on Immunology, Molecular Biology and Pharmacology. According to data from OpenAlex, Sang-Ho Yoon has authored 14 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology, 3 papers in Molecular Biology and 3 papers in Pharmacology. Recurrent topics in Sang-Ho Yoon's work include Healthcare and Venom Research (3 papers), Spacecraft Design and Technology (3 papers) and Invertebrate Immune Response Mechanisms (3 papers). Sang-Ho Yoon is often cited by papers focused on Healthcare and Venom Research (3 papers), Spacecraft Design and Technology (3 papers) and Invertebrate Immune Response Mechanisms (3 papers). Sang-Ho Yoon collaborates with scholars based in South Korea, United States and North Korea. Sang-Ho Yoon's co-authors include Jin‐Wu Nam, Jiwon Shim, Bumsik Cho, Sudhir Gopal Tattikota, Norbert Perrimon, Bohyeon Yu, Shannan Ho Sui, Aram Comjean, Michael J. Steinbaugh and Víctor Barrera and has published in prestigious journals such as Nature Communications, Genome Research and PLoS Genetics.

In The Last Decade

Sang-Ho Yoon

14 papers receiving 449 citations

Peers

Sang-Ho Yoon
Indira Paddibhatla United States
Muhammad Nadeem Abbas China
Xu‐Sheng Liu China
Xinlei Gao United States
Muhammad Nadeem Abbas China
Dewen You China
Michelle M. Lissner United States
Xiangyu Zhang China
Chunyang Liang United States
Kleita Michaelidou Greece
Indira Paddibhatla United States
Sang-Ho Yoon
Citations per year, relative to Sang-Ho Yoon Sang-Ho Yoon (= 1×) peers Indira Paddibhatla

Countries citing papers authored by Sang-Ho Yoon

Since Specialization
Citations

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

Fields of papers citing papers by Sang-Ho Yoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sang-Ho Yoon. 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 Sang-Ho Yoon. The network helps show where Sang-Ho Yoon may publish in the future.

Co-authorship network of co-authors of Sang-Ho Yoon

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

All Works

14 of 14 papers shown
1.
Yoon, Sang-Ho & Jin‐Wu Nam. (2023). Clustering malignant cell states using universally variable genes. Briefings in Bioinformatics. 25(1). 1 indexed citations
2.
Yoon, Sang-Ho, et al.. (2023). Molecular traces of Drosophila hemocytes reveal transcriptomic conservation with vertebrate myeloid cells. PLoS Genetics. 19(12). e1011077–e1011077. 8 indexed citations
3.
Yoon, Sang-Ho, Seowon Choi, Suk Woo Nam, Kyoung Bun Lee, & Jin‐Wu Nam. (2021). Preoperative immune landscape predisposes adverse outcomes in hepatocellular carcinoma patients with liver transplantation. npj Precision Oncology. 5(1). 27–27. 13 indexed citations
4.
Yoon, Sang-Ho, et al.. (2021). Tumor immune microenvironment lncRNAs. Briefings in Bioinformatics. 23(1). 140 indexed citations
5.
Tattikota, Sudhir Gopal, Bumsik Cho, Yifang Liu, et al.. (2020). A single-cell survey of Drosophila blood. eLife. 9. 125 indexed citations
6.
Cho, Bumsik, Sang-Ho Yoon, Daewon Lee, et al.. (2020). Single-cell transcriptome maps of myeloid blood cell lineages in Drosophila. Nature Communications. 11(1). 4483–4483. 93 indexed citations
7.
Yu, Bohyeon, Sang-Ho Yoon, & Jin‐Wu Nam. (2017). High-confidence coding and noncoding transcriptome maps. Genome Research. 27(6). 1050–1062. 38 indexed citations
8.
Yoon, Sang-Ho, et al.. (2016). Transcriptomic analysis of isolated single primordial and primary follicle using RNA-Seq in human. Fertility and Sterility. 106(3). e184–e184. 1 indexed citations
9.
Choi, Min-Sun, et al.. (2015). Analysis of the Result of Korean Medicine Treatment for Female Subfertility Using Herbal Medicine, Acupuncture and Moxibustion Treatment. Journal of Korean Medicine. 36(2). 1–7. 7 indexed citations
10.
Choi, Min-Sun, et al.. (2010). Effect of Herbal Decoction for Sitz Bath on Dermoepidermal Recovery to Wound Tissue in Rats. The Journal of Korean Obstetrics and Gynecology. 23(1). 30–41. 5 indexed citations
11.
Kim, Dong‐Il, Min-Sun Choi, Seung-Deok Lee, et al.. (2007). A Clinical Trial to Assess the Efficacy of Acupuncture on Hot Flashes in Postmenopausal Women. 28(4). 74–85. 14 indexed citations
12.
Yoon, Sang-Ho, et al.. (2002). Radiation hardened high efficiency silicon space solar cell. 24. 1358–1362. 4 indexed citations
13.
Turner, G. W., et al.. (1996). Development of back junction point contact photovoltaic cells and arrays for space. 227–230. 2 indexed citations
14.
Yoon, Sang-Ho, et al.. (1996). Thin, lightweight, 18% efficient space silicon solar cell and array. 2. 259–262. 6 indexed citations

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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