In‐Hee Lee

4.4k total citations · 1 hit paper
114 papers, 1.8k citations indexed

About

In‐Hee Lee is a scholar working on Molecular Biology, Marketing and Genetics. According to data from OpenAlex, In‐Hee Lee has authored 114 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 18 papers in Marketing and 18 papers in Genetics. Recurrent topics in In‐Hee Lee's work include Consumer Perception and Purchasing Behavior (18 papers), Diverse Topics in Contemporary Research (11 papers) and Genomics and Rare Diseases (8 papers). In‐Hee Lee is often cited by papers focused on Consumer Perception and Purchasing Behavior (18 papers), Diverse Topics in Contemporary Research (11 papers) and Genomics and Rare Diseases (8 papers). In‐Hee Lee collaborates with scholars based in South Korea, United States and Japan. In‐Hee Lee's co-authors include Sek Won Kong, Byoung-Tak Zhang, Do‐Hyun Nam, Sung‐Young Shin, Woong‐Yang Park, Dongyung Kim, Anna Lasorella, Jiguang Wang, Oliver Elliott and Yong‐Jae Shin and has published in prestigious journals such as Nucleic Acids Research, Nature Genetics and Gastroenterology.

In The Last Decade

In‐Hee Lee

97 papers receiving 1.8k citations

Hit Papers

Clonal evolution of glioblastoma under therapy 2016 2026 2019 2022 2016 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
In‐Hee Lee South Korea 19 773 528 497 252 204 114 1.8k
Yiming Li China 27 689 0.9× 581 1.1× 283 0.6× 192 0.8× 458 2.2× 87 2.7k
Kar‐Ming Fung United States 31 924 1.2× 238 0.5× 376 0.8× 359 1.4× 462 2.3× 116 3.2k
Lingchao Chen China 27 1.1k 1.4× 244 0.5× 814 1.6× 180 0.7× 122 0.6× 60 1.9k
Jianhui Chang China 26 1.3k 1.7× 238 0.5× 303 0.6× 272 1.1× 233 1.1× 76 3.8k
Xiaobing Li China 28 1.0k 1.4× 116 0.2× 258 0.5× 327 1.3× 144 0.7× 159 2.4k
Xiaoqing Yang China 34 1.8k 2.3× 189 0.4× 506 1.0× 666 2.6× 291 1.4× 136 3.2k
Younghee Lee United States 23 1.0k 1.4× 142 0.3× 369 0.7× 629 2.5× 258 1.3× 93 2.4k
Sung-Hak Kim South Korea 31 1.8k 2.4× 670 1.3× 1.1k 2.1× 988 3.9× 180 0.9× 84 3.3k
Yunchuan Wang China 28 1.0k 1.4× 366 0.7× 261 0.5× 77 0.3× 165 0.8× 83 2.5k
Gao Guo Germany 21 729 0.9× 114 0.2× 304 0.6× 244 1.0× 431 2.1× 45 1.7k

Countries citing papers authored by In‐Hee Lee

Since Specialization
Citations

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

Fields of papers citing papers by In‐Hee Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by In‐Hee Lee. 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 In‐Hee Lee. The network helps show where In‐Hee Lee may publish in the future.

Co-authorship network of co-authors of In‐Hee Lee

This figure shows the co-authorship network connecting the top 25 collaborators of In‐Hee Lee. A scholar is included among the top collaborators of In‐Hee Lee 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 In‐Hee Lee. In‐Hee Lee 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.
Lee, In‐Hee, et al.. (2025). Artificial intelligence in pediatric healthcare: current applications, potential, and implementation considerations. Clinical and Experimental Pediatrics. 68(9). 641–651.
2.
Mohammed, Akram, Sek Won Kong, In‐Hee Lee, et al.. (2024). GSDMB/ORMDL3 Rare/Common Variants Are Associated with Inhaled Corticosteroid Response among Children with Asthma. Genes. 15(4). 420–420. 2 indexed citations
3.
Lee, In‐Hee, Douglas I. Walker, Matthew Ryan Smith, et al.. (2023). Association between Neuroligin-1 polymorphism and plasma glutamine levels in individuals with autism spectrum disorder. EBioMedicine. 95. 104746–104746. 4 indexed citations
5.
Lee, In‐Hee, et al.. (2023). The Effect of Generation Z's Consumption Value on Cosmeceutical Safety and Purchasing Behavior. The Korean Society of Beauty and Art. 24(1). 27–45. 1 indexed citations
7.
Nam, Hyun, In‐Hee Lee, K. Jason, et al.. (2021). Effects of Long-Term In Vitro Expansion on Genetic Stability and Tumor Formation Capacity of Stem Cells. Stem Cell Reviews and Reports. 18(1). 241–257. 4 indexed citations
8.
Lee, In‐Hee, et al.. (2021). Uncovering the Anti-Lung-Cancer Mechanisms of the Herbal Drug FDY2004 by Network Pharmacology. Evidence-based Complementary and Alternative Medicine. 2021. 1–15. 2 indexed citations
9.
Lee, In‐Hee, et al.. (2021). WEScover: selection between clinical whole exome sequencing and gene panel testing. BMC Bioinformatics. 22(1). 259–259. 4 indexed citations
10.
Kong, Sek Won, In‐Hee Lee, Xuanshi Liu, Joel N. Hirschhorn, & Kenneth D. Mandl. (2018). Measuring coverage and accuracy of whole-exome sequencing in clinical context. Genetics in Medicine. 20(12). 1617–1626. 37 indexed citations
11.
Lee, In‐Hee. (2014). The Effect of Intensive Mobility Training on the Gait Performance of Patients with Parkinson’s Disease. The Journal of Korean Physical Therapy. 26(3). 196–201. 1 indexed citations
12.
Kong, Sek Won, In‐Hee Lee, Ignaty Leshchiner, et al.. (2014). Summarizing polygenic risks for complex diseases in a clinical whole-genome report. Genetics in Medicine. 17(7). 536–544. 30 indexed citations
13.
Lee, In‐Hee, Xiaoman Hong, Sharad C. Mathur, et al.. (2014). A detailed analysis of next generation sequencing reads of microRNA expression in Barrett’s Esophagus: absolute versus relative quantification. BMC Research Notes. 7(1). 212–212. 5 indexed citations
14.
Chae, Kwon Seok, et al.. (2010). Galleria mellonella 6-Tox Gene, Putative Immune Related Molecule in Lepidoptera. International Journal of Industrial Entomology. 21(1). 127–132. 3 indexed citations
15.
Kim, Tae‐Won, et al.. (2010). A Case of Acute Bilateral Renal Infarction Associated with Protein S Deficiency. Kidney Research and Clinical Practice. 29(5). 617–622. 1 indexed citations
16.
Lee, In‐Hee, Soo-Yong Shin, Youngmin Cho, Kyung-Ae Yang, & Byoung‐Tak Zhang. (2008). Microarray Probe Design with Multiobjective Evolutionary Algorithm. Jeongbo gwahaghoe nonmunji. so'peuteuweeo mich eung'yong. 35(8). 501–511. 1 indexed citations
17.
Kim, Seong‐Ryul, Yong‐Soo Choi, Eun‐Young Yun, et al.. (2007). Antibacterial Activity of Peptides Synthesized Based on the Bombus ignitus abaecin, A Novel Proline-Rich Antimicrobial Peptide. International Journal of Industrial Entomology. 14(2). 147–150. 1 indexed citations
18.
Park, Seung-Kyu, Sungae Cho, In‐Hee Lee, et al.. (2007). Subcutaneously administered interferon-gamma for the treatment of multidrug-resistant pulmonary tuberculosis. International Journal of Infectious Diseases. 11(5). 434–440. 26 indexed citations
19.
Kim, Donghyun, Iksoo Kim, Carolina Barillas‐Mury, et al.. (2006). Cloning and Subcellular Localization of a Serpin containing Nuclear Export Signal from the Korean malaria vector, Anopheles sinensis. Genes & Genomics. 28(4). 433–441. 3 indexed citations
20.
Lee, In‐Hee, et al.. (2000). Expression of the cry1Ac1 gene under the control of the native or the α-amylase promoters in an acrystalliferous Bacillus thuringiensis strain. International Journal of Industrial Entomology. 1(2). 37–37. 2 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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