Tae‐Un Han

962 total citations
18 papers, 587 citations indexed

About

Tae‐Un Han is a scholar working on Rheumatology, Cell Biology and Clinical Psychology. According to data from OpenAlex, Tae‐Un Han has authored 18 papers receiving a total of 587 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Rheumatology, 4 papers in Cell Biology and 3 papers in Clinical Psychology. Recurrent topics in Tae‐Un Han's work include Stuttering Research and Treatment (3 papers), Cellular transport and secretion (3 papers) and Lysosomal Storage Disorders Research (3 papers). Tae‐Un Han is often cited by papers focused on Stuttering Research and Treatment (3 papers), Cellular transport and secretion (3 papers) and Lysosomal Storage Disorders Research (3 papers). Tae‐Un Han collaborates with scholars based in United States, South Korea and Canada. Tae‐Un Han's co-authors include Changwon Kang, Sang‐Cheol Bae, Ellen Sidransky, So‐Young Bang, Michael G. Blennerhassett, Goberdhan P. Dimri, Sandra Lourenssen, Mo Kang, Raymond H. Kim and NH Park and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Current Biology and International Journal of Molecular Sciences.

In The Last Decade

Tae‐Un Han

18 papers receiving 579 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tae‐Un Han United States 13 209 97 77 76 74 18 587
Changsoo Kang South Korea 15 209 1.0× 147 1.5× 75 1.0× 48 0.6× 70 0.9× 27 747
Katherine Lachlan United Kingdom 19 869 4.2× 49 0.5× 122 1.6× 104 1.4× 48 0.6× 45 1.4k
Jessica Becker Germany 15 305 1.5× 82 0.8× 114 1.5× 24 0.3× 67 0.9× 24 729
Riyana Babul‐Hirji Canada 15 785 3.8× 58 0.6× 40 0.5× 76 1.0× 23 0.3× 31 1.2k
David C. Graves United States 8 293 1.4× 186 1.9× 63 0.8× 64 0.8× 51 0.7× 15 721
Kyle Retterer United States 24 681 3.3× 27 0.3× 79 1.0× 44 0.6× 46 0.6× 37 1.4k
David B. Everman United States 20 657 3.1× 73 0.8× 51 0.7× 25 0.3× 42 0.6× 39 1.1k
Roberta La Piana Canada 19 475 2.3× 107 1.1× 31 0.4× 36 0.5× 243 3.3× 62 1.1k
Jane Y. Song United States 13 542 2.6× 33 0.3× 38 0.5× 31 0.4× 25 0.3× 21 778
Laia Rodríguez‐Revenga Spain 23 873 4.2× 44 0.5× 71 0.9× 69 0.9× 29 0.4× 87 1.9k

Countries citing papers authored by Tae‐Un Han

Since Specialization
Citations

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

Fields of papers citing papers by Tae‐Un Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tae‐Un Han. 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 Tae‐Un Han. The network helps show where Tae‐Un Han may publish in the future.

Co-authorship network of co-authors of Tae‐Un Han

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

All Works

18 of 18 papers shown
1.
Wincovitch, Stephen, et al.. (2024). A Comparative Biochemical and Pathological Evaluation of Brain Samples from Knock-In Murine Models of Gaucher Disease. International Journal of Molecular Sciences. 25(3). 1827–1827. 5 indexed citations
2.
Chen, Tiffany, et al.. (2024). Advancements in Viral Gene Therapy for Gaucher Disease. Genes. 15(3). 364–364. 12 indexed citations
3.
Carrington, Blake, et al.. (2022). A robust pipeline for efficient knock-in of point mutations and epitope tags in zebrafish using fluorescent PCR based screening. BMC Genomics. 23(1). 810–810. 7 indexed citations
4.
Han, Tae‐Un, et al.. (2020). Small Molecule Chaperones for the Treatment of Gaucher Disease and GBA1-Associated Parkinson Disease. Frontiers in Cell and Developmental Biology. 8. 271–271. 43 indexed citations
5.
Han, Tae‐Un, et al.. (2019). HumanGNPTABstuttering mutations engineered into mice cause vocalization deficits and astrocyte pathology in the corpus callosum. Proceedings of the National Academy of Sciences. 116(35). 17515–17524. 37 indexed citations
6.
Pace, Raffaella De, Miguel Skirzewski, Markus Daμμe, et al.. (2018). Altered distribution of ATG9A and accumulation of axonal aggregates in neurons from a mouse model of AP-4 deficiency syndrome. PLoS Genetics. 14(4). e1007363–e1007363. 86 indexed citations
7.
Barnes, Terra D., David F. Wozniak, Joanne Gutierrez, et al.. (2016). A Mutation Associated with Stuttering Alters Mouse Pup Ultrasonic Vocalizations. Current Biology. 26(8). 1009–1018. 34 indexed citations
8.
Han, Tae‐Un, et al.. (2016). Long Non-Coding RNA: An Emerging Paradigm of Pancreatic Cancer. Current Molecular Medicine. 16(8). 702–709. 14 indexed citations
9.
Han, Tae‐Un, et al.. (2015). Intestinal smooth muscle phenotype determines enteric neuronal survival via GDNF expression. Neuroscience. 290. 357–368. 23 indexed citations
10.
Han, Tae‐Un, Hye‐Soon Lee, Changwon Kang, & Sang‐Cheol Bae. (2015). Association of joint erosion withSLC22A4gene polymorphisms inconsistently associated with rheumatoid arthritis susceptibility. Autoimmunity. 48(5). 313–317. 5 indexed citations
11.
Han, Tae‐Un, John Park, Danilo Moretti‐Ferreira, et al.. (2014). A study of the role of the FOXP2 and CNTNAP2 genes in persistent developmental stuttering. Neurobiology of Disease. 69. 23–31. 12 indexed citations
12.
Han, Tae‐Un, Soo‐Kyung Cho, Taehyeung Kim, et al.. (2012). Association of an activity‐enhancing variant of IRAK1 and an MECP2–IRAK1 haplotype with increased susceptibility to rheumatoid arthritis. Arthritis & Rheumatism. 65(3). 590–598. 29 indexed citations
13.
Nair, Dileep G., Tae‐Un Han, Sandra Lourenssen, & Michael G. Blennerhassett. (2011). Proliferation modulates intestinal smooth muscle phenotype in vitro and in colitis in vivo. American Journal of Physiology-Gastrointestinal and Liver Physiology. 300(5). G903–G913. 35 indexed citations
14.
15.
Han, Tae‐Un, So‐Young Bang, Changwon Kang, & Sang‐Cheol Bae. (2009). TRAF1 polymorphisms associated with rheumatoid arthritis susceptibility in Asians and in Caucasians. Arthritis & Rheumatism. 60(9). 2577–2584. 42 indexed citations
16.
Cho, Soo‐Kyung, Tae‐Un Han, Kwang-Woo Kim, et al.. (2009). CD244 is not associated with susceptibility to rheumatoid arthritis and systemic lupus erythematosus in a Korean population. Arthritis & Rheumatism. 60(10). 3153–3154. 4 indexed citations
17.
Cha, Seongwon, Chan‐Bum Choi, Tae‐Un Han, et al.. (2007). Association of Anti–Cyclic citrullinated peptide antibody levels with PADI4 haplotypes in early rheumatoid arthritis and with shared epitope alleles in very late rheumatoid arthritis. Arthritis & Rheumatism. 56(5). 1454–1463. 38 indexed citations
18.
Kang, Mo, Raymond H. Kim, Sung Joon Kim, et al.. (2006). Elevated Bmi-1 expression is associated with dysplastic cell transformation during oral carcinogenesis and is required for cancer cell replication and survival. British Journal of Cancer. 96(1). 126–133. 131 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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2026