Hae‐Jin Hu

717 total citations
24 papers, 438 citations indexed

About

Hae‐Jin Hu is a scholar working on Molecular Biology, Genetics and Physiology. According to data from OpenAlex, Hae‐Jin Hu has authored 24 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 9 papers in Genetics and 4 papers in Physiology. Recurrent topics in Hae‐Jin Hu's work include Genomic variations and chromosomal abnormalities (6 papers), Machine Learning in Bioinformatics (3 papers) and Prenatal Screening and Diagnostics (3 papers). Hae‐Jin Hu is often cited by papers focused on Genomic variations and chromosomal abnormalities (6 papers), Machine Learning in Bioinformatics (3 papers) and Prenatal Screening and Diagnostics (3 papers). Hae‐Jin Hu collaborates with scholars based in South Korea, United States and China. Hae‐Jin Hu's co-authors include Yeun‐Jun Chung, Seon‐Hee Yim, Sin‐Gi Park, Jae‐Heon Kang, Kyung‐Hee Park, Seung-Hak Cho, Sang Ick Park, Han Byul Jang, Min-Kyu Choi and Ji Hong Kim and has published in prestigious journals such as Bioinformatics, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

Hae‐Jin Hu

24 papers receiving 433 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hae‐Jin Hu South Korea	10	254	144	91	49	45	24	438
Marcin Słomka Poland	13	194 0.8×	119 0.8×	40 0.4×	38 0.8×	29 0.6×	29	414
Shu‐Min Kao Taiwan	12	196 0.8×	80 0.6×	101 1.1×	31 0.6×	9 0.2×	25	535
Réka Szigeti United States	14	357 1.4×	205 1.4×	72 0.8×	78 1.6×	37 0.8×	33	621
Youping He United States	14	148 0.6×	58 0.4×	53 0.6×	42 0.9×	32 0.7×	17	534
Lucina Bobadilla‐Morales Mexico	12	175 0.7×	108 0.8×	25 0.3×	18 0.4×	25 0.6×	55	485
Yunxuan Jiang United States	9	144 0.6×	151 1.0×	98 1.1×	72 1.5×	24 0.5×	16	418
Alex Adams United Kingdom	15	403 1.6×	253 1.8×	24 0.3×	123 2.5×	33 0.7×	50	689
Franziska Dengler Germany	11	134 0.5×	55 0.4×	62 0.7×	21 0.4×	69 1.5×	35	408
Qing Zheng China	11	162 0.6×	118 0.8×	33 0.4×	58 1.2×	41 0.9×	21	342

Countries citing papers authored by Hae‐Jin Hu

Since Specialization

Citations

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

Fields of papers citing papers by Hae‐Jin Hu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hae‐Jin Hu. 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 Hae‐Jin Hu. The network helps show where Hae‐Jin Hu may publish in the future.

Co-authorship network of co-authors of Hae‐Jin Hu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Kim, Nam Hee, Hye Sun Choi, Moon Young Lee, et al.. (2024). The Effects of Fermented Rice Drink With Lactiplantibacillus plantarum JSA22 in Overweight Irritable Bowel Syndrome Patients: A Randomized, Double-blind, Placebo-controlled Study. Journal of Neurogastroenterology and Motility. 30(2). 194–207. 1 indexed citations

Hu, Hae‐Jin, et al.. (2024). Discovery of Pathogenic Variants Associated with Idiopathic Recurrent Pregnancy Loss Using Whole-Exome Sequencing. International Journal of Molecular Sciences. 25(10). 5447–5447. 4 indexed citations

Hu, Hae‐Jin, et al.. (2023). Safety tests and clinical research on buccal and nasal microneedle swabs for genomic analysis. Frontiers in Bioengineering and Biotechnology. 11. 1296832–1296832. 1 indexed citations

Baek, Changyoon, et al.. (2022). Differences in the gut microbiome composition of Korean children and adult samples based on different DNA isolation kits. PLoS ONE. 17(3). e0264291–e0264291. 6 indexed citations

Na, Woonsung, et al.. (2022). Development of a Microneedle Swab for Acquisition of Genomic DNA From Buccal Cells. Frontiers in Bioengineering and Biotechnology. 10. 829648–829648. 8 indexed citations

Lee, Jeong Min, Hyun Ju Lee, Mi‐Jin Oh, et al.. (2018). Development of HLA-A, -B and -DR Typing Method Using Next-Generation Sequencing. The Korean Journal of Blood Transfusion. 29(3). 310–319. 1 indexed citations

Hu, Hae‐Jin, Sin‐Gi Park, Han Byul Jang, et al.. (2015). Obesity Alters the Microbial Community Profile in Korean Adolescents. PLoS ONE. 10(7). e0134333–e0134333. 133 indexed citations

Yoon, Hyoung Kyu, Hae‐Jin Hu, Chin Kook Rhee, et al.. (2014). Polymorphisms inPDE4Dare Associated with a Risk of COPD in Non-Emphysematous Koreans. COPD Journal of Chronic Obstructive Pulmonary Disease. 11(6). 652–658. 10 indexed citations

Hu, Hae‐Jin, Seon‐Hee Yim, Seung‐Hyun Jung, et al.. (2014). New Variants Including ARG1 Polymorphisms Associated with C-Reactive Protein Levels Identified by Genome-Wide Association and Pathway Analysis. PLoS ONE. 9(4). e95866–e95866. 21 indexed citations

10.

Jun, JeHoon, Yun Sung Cho, Hae‐Jin Hu, et al.. (2014). Whole genome sequence and analysis of the Marwari horse breed and its genetic origin. BMC Genomics. 15(S9). S4–S4. 27 indexed citations

11.

Kim, Ji Hong, Seung‐Hyun Jung, Joon Seol Bae, et al.. (2013). Deletion Variants of RABGAP1L, 10q21.3, and C4 Are Associated With the Risk of Systemic Lupus Erythematosus in Korean Women. Arthritis & Rheumatism. 65(4). 1055–1063. 31 indexed citations

12.

Kim, Ji Hong, Hae‐Jin Hu, Seon‐Hee Yim, et al.. (2012). CNVRuler: a copy number variation-based case–control association analysis tool. Bioinformatics. 28(13). 1790–1792. 69 indexed citations

13.

Yim, Seon‐Hee, Yeun‐Jun Chung, Eun‐Heui Jin, et al.. (2010). The potential role of VPREB1 gene copy number variation in susceptibility to rheumatoid arthritis. Molecular Immunology. 48(11). 1338–1343. 23 indexed citations

14.

Jung, Seung‐Hyun, Seon‐Hee Yim, Hae‐Jin Hu, et al.. (2010). Copy number alterations and expression profiles of candidate genes in a pulmonary inflammatory myofibroblastic tumor. Lung Cancer. 70(2). 152–157. 3 indexed citations

15.

Choi, Hye-Sun, Seon‐Hee Yim, Haidong Xu, et al.. (2010). Tropomyosin3 overexpression and a potential link to epithelial-mesenchymal transition in human hepatocellular carcinoma. BMC Cancer. 10(1). 122–122. 45 indexed citations

16.

Hu, Hae‐Jin, Sung‐Ho Goh, & Yeon-Su Lee. (2010). Association pattern mining of intron retention events in human based on hybrid learning machine. Genes & Genetic Systems. 85(6). 383–394. 2 indexed citations

17.

Hu, Hae‐Jin, et al.. (2007). To Be or Not to Be: Predicting Soluble SecAs as Membrane Proteins. IEEE Transactions on NanoBioscience. 6(2). 168–179. 15 indexed citations

18.

Pan, Yi & Hae‐Jin Hu. (2007). Design of comprehensible learning machine systems for protein structure prediction. 1 indexed citations

19.

Chen, Bernard, et al.. (2006). Rule Clustering and Super-rule Generation for Transmembrane Segments Prediction. 4. 224–227. 2 indexed citations

20.

Altun, Gülşah, Hae‐Jin Hu, Dumitru Brinza, et al.. (2006). Hybrid SVM kernels for protein secondary structure prediction. 20. 762–765. 4 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.

Explore authors with similar magnitude of impact