Hie Lim Kim

1.9k total citations
20 papers, 446 citations indexed

About

Hie Lim Kim is a scholar working on Genetics, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Hie Lim Kim has authored 20 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Genetics, 11 papers in Molecular Biology and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Hie Lim Kim's work include Genomics and Phylogenetic Studies (6 papers), Genomics and Rare Diseases (4 papers) and Genetic Associations and Epidemiology (3 papers). Hie Lim Kim is often cited by papers focused on Genomics and Phylogenetic Studies (6 papers), Genomics and Rare Diseases (4 papers) and Genetic Associations and Epidemiology (3 papers). Hie Lim Kim collaborates with scholars based in Singapore, United States and Japan. Hie Lim Kim's co-authors include Yoko Satta, Stephan C. Schuster, Aakrosh Ratan, Kyuyoung Song, Seong-Gene Lee, Naoyuki Takahata, Webb Miller, George H. Perry, Álvaro Montenegro and Fumihito Akishinonomiya and has published in prestigious journals such as Nature Communications, PLoS ONE and Genetics.

In The Last Decade

Hie Lim Kim

19 papers receiving 432 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hie Lim Kim Singapore 12 169 128 63 59 37 20 446
Rebeca Atencia United States 12 170 1.0× 121 0.9× 30 0.5× 22 0.4× 29 0.8× 31 472
Ruoxi Fan China 7 420 2.5× 147 1.1× 13 0.2× 19 0.3× 17 0.5× 8 558
Liu Yan-hu China 12 332 2.0× 203 1.6× 23 0.4× 15 0.3× 32 0.9× 24 591
Ulf Gyllensten Sweden 5 228 1.3× 343 2.7× 17 0.3× 8 0.1× 38 1.0× 8 572
Chih-Ting Yang Taiwan 4 283 1.7× 436 3.4× 26 0.4× 12 0.2× 11 0.3× 7 699
Stefania Vai Italy 12 236 1.4× 153 1.2× 14 0.2× 8 0.1× 35 0.9× 43 550
William Beggs United States 11 462 2.7× 296 2.3× 29 0.5× 4 0.1× 47 1.3× 18 823
Alessandra Modi Italy 9 196 1.2× 136 1.1× 13 0.2× 7 0.1× 37 1.0× 28 448
Jennifer Madeoy United States 10 576 3.4× 441 3.4× 27 0.4× 19 0.3× 70 1.9× 11 923
Choongwon Jeong South Korea 16 662 3.9× 180 1.4× 22 0.3× 12 0.2× 27 0.7× 35 1.0k

Countries citing papers authored by Hie Lim Kim

Since Specialization
Citations

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

Fields of papers citing papers by Hie Lim Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hie Lim Kim. 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 Hie Lim Kim. The network helps show where Hie Lim Kim may publish in the future.

Co-authorship network of co-authors of Hie Lim Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Hie Lim Kim. A scholar is included among the top collaborators of Hie Lim Kim 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 Hie Lim Kim. Hie Lim Kim 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.
Kim, Hie Lim, et al.. (2025). HLA alleles and dengue susceptibility across populations in the era of climate change: a comprehensive review. Frontiers in Immunology. 16. 1473475–1473475.
2.
Kim, Hie Lim, Tanghua Li, Timothy A. Shaw, et al.. (2023). Prehistoric human migration between Sundaland and South Asia was driven by sea-level rise. Communications Biology. 6(1). 150–150. 12 indexed citations
3.
Gusareva, Elena S., et al.. (2023). Population-specific positive selection on low CR1 expression in malaria-endemic regions. PLoS ONE. 18(1). e0280282–e0280282. 1 indexed citations
5.
Uchida, Akira, Hie Lim Kim, Rikky W. Purbojati, et al.. (2020). Complete genome of Enterobacter sichuanensis strain SGAir0282 isolated from air in Singapore. Gut Pathogens. 12(1). 12–12. 4 indexed citations
6.
Yoo, Seong‐Keun, Hie Lim Kim, Sungjae Kim, et al.. (2019). NARD: whole-genome reference panel of 1779 Northeast Asians improves imputation accuracy of rare and low-frequency variants. Genome Medicine. 11(1). 64–64. 27 indexed citations
7.
Carpi, Giovanna, Andrew Kitchen, Hie Lim Kim, et al.. (2016). Mitogenomes reveal diversity of the European Lyme borreliosis vector Ixodes ricinus in Italy. Molecular Phylogenetics and Evolution. 101. 194–202. 29 indexed citations
8.
Kim, Hie Lim, Aakrosh Ratan, George H. Perry, et al.. (2014). Khoisan hunter-gatherers have been the largest population throughout most of modern-human demographic history. Nature Communications. 5(1). 5692–5692. 57 indexed citations
9.
Kim, Hie Lim & Stephan C. Schuster. (2013). Poor Man’s 1000 Genome Project: Recent Human Population Expansion Confounds the Detection of Disease Alleles in 7,098 Complete Mitochondrial Genomes. Frontiers in Genetics. 4. 13–13. 5 indexed citations
10.
Bedoya-Reina, Oscar C., Aakrosh Ratan, Richard Burhans, et al.. (2013). Galaxy tools to study genome diversity. GigaScience. 2(1). 17–17. 17 indexed citations
11.
Kim, Hie Lim, Takeshi Igawa, Satoko Kaneko, et al.. (2012). Genomic Structure and Evolution of Multigene Families: “Flowers” on the Human Genome. PubMed. 2012. 1–11. 4 indexed citations
12.
Gupta, Ravi, Aakrosh Ratan, Changanamkandath Rajesh, et al.. (2012). Sequencing and analysis of a South Asian-Indian personal genome. BMC Genomics. 13(1). 440–440. 24 indexed citations
13.
Song, Giltae, Cathy Riemer, Benjamin Dickins, et al.. (2012). Revealing Mammalian Evolutionary Relationships by Comparative Analysis of Gene Clusters. Genome Biology and Evolution. 4(4). 586–601. 7 indexed citations
14.
Song, Giltae, Chih-Hao Hsu, Cathy Riemer, et al.. (2011). Conversion events in gene clusters. BMC Evolutionary Biology. 11(1). 226–226. 11 indexed citations
15.
Sawai, Hiromi, Hie Lim Kim, Sayaka Suzuki, et al.. (2010). The Origin and Genetic Variation of Domestic Chickens with Special Reference to Junglefowls Gallus g. gallus and G. varius. PLoS ONE. 5(5). e10639–e10639. 74 indexed citations
16.
Kim, Hie Lim, et al.. (2010). Divergence, demography and gene loss along the human lineage. Philosophical Transactions of the Royal Society B Biological Sciences. 365(1552). 2451–2457. 14 indexed citations
17.
Kim, Hie Lim & Yoko Satta. (2008). Population Genetic Analysis of the N-Acylsphingosine Amidohydrolase Gene Associated With Mental Activity in Humans. Genetics. 178(3). 1505–1515. 13 indexed citations
18.
Kaneko, Satoko, et al.. (2007). Evolutionary History of Sex-Linked Mammalian Amelogenin Genes. Cells Tissues Organs. 186(1). 49–59. 13 indexed citations
19.
Lee, Seong-Gene, Young Hoon Joo, Byungsu Kim, et al.. (2005). Association of Ala72Ser polymorphism with COMT enzyme activity and the risk of schizophrenia in Koreans. Human Genetics. 116(4). 319–328. 70 indexed citations
20.
Lee, Seong-Gene, Hong Mo Moon, Hyun Jung Kim, et al.. (2004). Analysis of mannose-binding lectin 2 (MBL2) genotype and the serum protein levels in the Korean population. Molecular Immunology. 42(8). 969–977. 55 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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