Young‐Ran Ha

476 total citations
23 papers, 381 citations indexed

About

Young‐Ran Ha is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Infectious Diseases. According to data from OpenAlex, Young‐Ran Ha has authored 23 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Public Health, Environmental and Occupational Health and 4 papers in Infectious Diseases. Recurrent topics in Young‐Ran Ha's work include Mosquito-borne diseases and control (7 papers), Blood properties and coagulation (3 papers) and Legionella and Acanthamoeba research (3 papers). Young‐Ran Ha is often cited by papers focused on Mosquito-borne diseases and control (7 papers), Blood properties and coagulation (3 papers) and Legionella and Acanthamoeba research (3 papers). Young‐Ran Ha collaborates with scholars based in South Korea and United States. Young‐Ran Ha's co-authors include Yang Jun Kang, Sang-Joon Lee, Dong Sup Yoon, Min-Young Kim, Dong-Il Chung, Hyun-Hee Kong, Hak Sun Yu, Sang Joon Lee, Sang-Joon Lee and Eunseop Yeom and has published in prestigious journals such as Analytical Chemistry, Scientific Reports and International Journal of Cancer.

In The Last Decade

Young‐Ran Ha

23 papers receiving 369 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Young‐Ran Ha South Korea 12 104 77 77 72 60 23 381
Abel Jarell United States 12 155 1.5× 135 1.8× 46 0.6× 10 0.1× 10 0.2× 35 541
Eva Shrestha United States 5 211 2.0× 95 1.2× 20 0.3× 102 1.4× 29 0.5× 7 425
M Seveso Italy 13 227 2.2× 17 0.2× 27 0.4× 28 0.4× 16 0.3× 33 578
Kirill Tsyganov Australia 10 176 1.7× 51 0.7× 71 0.9× 48 0.7× 4 0.1× 16 472
Kaushik Ghosh India 10 127 1.2× 29 0.4× 43 0.6× 43 0.6× 17 0.3× 49 484
Longkun Zhu United States 11 123 1.2× 17 0.2× 57 0.7× 28 0.4× 9 0.1× 12 347
W. Scott Harkonen United States 6 135 1.3× 46 0.6× 36 0.5× 113 1.6× 7 0.1× 8 620
Yanjuan Jia China 11 115 1.1× 56 0.7× 21 0.3× 28 0.4× 11 0.2× 21 381
Doranda Perdomo France 9 175 1.7× 12 0.2× 41 0.5× 330 4.6× 8 0.1× 11 542
Mai Tanaka Japan 13 146 1.4× 126 1.6× 23 0.3× 34 0.5× 22 0.4× 44 495

Countries citing papers authored by Young‐Ran Ha

Since Specialization
Citations

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

Fields of papers citing papers by Young‐Ran Ha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Young‐Ran Ha. 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 Young‐Ran Ha. The network helps show where Young‐Ran Ha may publish in the future.

Co-authorship network of co-authors of Young‐Ran Ha

This figure shows the co-authorship network connecting the top 25 collaborators of Young‐Ran Ha. A scholar is included among the top collaborators of Young‐Ran Ha 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 Young‐Ran Ha. Young‐Ran Ha 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
1.
Ha, Young‐Ran, Hyun Jeong Kim, Jae‐Sung Park, & Yoon‐Seok Chung. (2023). Genomic surveillance of genes encoding the SARS-CoV-2 spike protein to monitor for emerging variants on Jeju Island, Republic of Korea. Frontiers in Microbiology. 14. 1170766–1170766. 1 indexed citations
2.
3.
Ha, Young‐Ran, et al.. (2020). The effects of antibiotics on the reproductive physiology targeting ovaries in the Asian tiger mosquito, Aedes albopictus. Entomological Research. 51(2). 65–73. 5 indexed citations
4.
Ha, Young‐Ran, Jeongeun Ryu, Eunseop Yeom, & Sang Joon Lee. (2017). Comparison of the tracheal systems of Anopheles sinensis and Aedes togoi larvae using synchrotron X‐ray microscopic computed tomography (respiratory system of mosquito larvae using SR‐μCT). Microscopy Research and Technique. 80(9). 985–993. 4 indexed citations
5.
Ha, Young‐Ran, Eunseop Yeom, Jeongeun Ryu, & Sang-Joon Lee. (2017). Three-dimensional structures of the tracheal systems of Anopheles sinensis and Aedes togoi pupae. Scientific Reports. 7(1). 44490–44490. 14 indexed citations
6.
Chang, Kyu‐Sik, Young‐Ran Ha, Eun Kyeong Jeong, et al.. (2017). Monitoring and Control of Aedes albopictus, a Vector of Zika Virus, Near Residences of Imported Zika Virus Patients during 2016 in South Korea. American Journal of Tropical Medicine and Hygiene. 98(1). 166–172. 10 indexed citations
7.
Lee, Sang Joon, et al.. (2016). Peculiar liquid-feeding and pathogen transmission behavior of Aedes togoi and comparison with Anopheles sinensis. Scientific Reports. 6(1). 20464–20464. 5 indexed citations
8.
Kang, Yang Jun, Young‐Ran Ha, & Sang-Joon Lee. (2016). High-Throughput and Label-Free Blood-on-a-Chip for Malaria Diagnosis. Analytical Chemistry. 88(5). 2912–2922. 28 indexed citations
9.
Byeon, Hyeokjun, Young‐Ran Ha, & Sang Joon Lee. (2015). Holographic analysis on deformation and restoration of malaria-infected red blood cells by antimalarial drug. Journal of Biomedical Optics. 20(11). 115003–115003. 6 indexed citations
10.
11.
Ha, Young‐Ran, et al.. (2014). Detection of Heparin in the Salivary Gland and Midgut of Aedes togoi. Korean Journal of Parasitology. 52(2). 183–188. 19 indexed citations
12.
Kang, Yang Jun, Young‐Ran Ha, & Sang Joon Lee. (2014). Microfluidic-based measurement of erythrocyte sedimentation rate for biophysical assessment of blood in an in vivo malaria-infected mouse. Biomicrofluidics. 8(4). 44114–44114. 26 indexed citations
13.
Seo, Eunseok, Kyung Won Seo, Young‐Ran Ha, et al.. (2014). Biophysiochemical properties of endothelial cells cultured on bio-inspired collagen films. BMC Biotechnology. 14(1). 61–61. 10 indexed citations
14.
Ha, Young‐Ran, et al.. (2013). Effect of laminin 332 on motility and invasion in bladder cancer. The Kaohsiung Journal of Medical Sciences. 29(8). 422–429. 17 indexed citations
15.
Kim, Hyoung Kyu, Se Won Kang, Seung Hun Jeong, et al.. (2012). Identification of potential target genes of cardioprotection against ischemia–reperfusion injury by express sequence tags analysis in rat hearts. Journal of Cardiology. 60(2). 98–110. 22 indexed citations
16.
Han, Young‐Min, Jieun Yun, Chang Woo Lee, et al.. (2011). Phosphatase of regenerating liver‐3 promotes migration and invasion by upregulating matrix metalloproteinases‐7 in human colorectal cancer cells. International Journal of Cancer. 131(3). E190–203. 31 indexed citations
17.
Lee, Sang‐Chul, et al.. (2006). Cognition Associated with Dystrophin Deletion in Duchenne Muscular Dystrophy. Annals of Rehabilitation Medicine. 30(3). 225–229. 1 indexed citations
18.
Kim, Hyo-Kyung, Young‐Ran Ha, Hak Sun Yu, Hyun-Hee Kong, & Dong-Il Chung. (2003). Purification and characterization of a 33 kDa serine protease from Acanthamoeba lugdunensis KA/E2 isolated from a Korean keratitis patient. Korean Journal of Parasitology. 41(4). 189–189. 22 indexed citations
19.
Kim, Min-Young, et al.. (2000). Exercise therapy effect on natural killer cell cytotoxic activity in stomach cancer patients after curative surgery. Archives of Physical Medicine and Rehabilitation. 81(6). 777–779. 75 indexed citations
20.
Kim, Minyoung, et al.. (2000). Exercise therapy effect on natural killer cell cytotoxic activity in stomach cancer patients after curative surgery. Archives of Physical Medicine and Rehabilitation. 81(6). 777–779. 3 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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