Seunghee Cha

3.7k total citations
80 papers, 2.7k citations indexed

About

Seunghee Cha is a scholar working on Physiology, Genetics and Molecular Biology. According to data from OpenAlex, Seunghee Cha has authored 80 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Physiology, 21 papers in Genetics and 16 papers in Molecular Biology. Recurrent topics in Seunghee Cha's work include Salivary Gland Disorders and Functions (55 papers), Diabetes and associated disorders (20 papers) and Systemic Lupus Erythematosus Research (10 papers). Seunghee Cha is often cited by papers focused on Salivary Gland Disorders and Functions (55 papers), Diabetes and associated disorders (20 papers) and Systemic Lupus Erythematosus Research (10 papers). Seunghee Cha collaborates with scholars based in United States, South Korea and Egypt. Seunghee Cha's co-authors include Kaleb M. Pauley, Edward K. L. Chan, Ammon B. Peck, Michael G. Humphreys‐Beher, A. B. Peck, Adrienne E. Gauna, Young‐Seok Park, Jason Brayer, Joseph Katz and Juehua Gao and has published in prestigious journals such as PLoS ONE, Diabetes and Scientific Reports.

In The Last Decade

Seunghee Cha

78 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seunghee Cha United States 28 1.3k 805 666 476 443 80 2.7k
Guang‐Yan Yu China 35 600 0.5× 913 1.1× 158 0.2× 456 1.0× 83 0.2× 234 4.0k
Kanemitsu Shirasuna Japan 35 352 0.3× 1.2k 1.5× 288 0.4× 539 1.1× 178 0.4× 142 3.2k
Qisheng Tu United States 33 418 0.3× 1.7k 2.1× 150 0.2× 500 1.1× 223 0.5× 61 2.9k
Mari Ainola Finland 24 194 0.2× 564 0.7× 349 0.5× 380 0.8× 69 0.2× 57 2.2k
Masanori Koide Japan 28 149 0.1× 1.5k 1.9× 385 0.6× 305 0.6× 156 0.4× 58 2.7k
Junji Xu China 21 251 0.2× 547 0.7× 343 0.5× 163 0.3× 116 0.3× 64 1.6k
Teresa Odorisio Italy 27 250 0.2× 1.3k 1.7× 820 1.2× 312 0.7× 350 0.8× 44 3.5k
Efthimia K. Basdra Greece 32 229 0.2× 1.6k 2.0× 148 0.2× 375 0.8× 552 1.2× 89 3.1k
Chunliang Xu United States 19 377 0.3× 1000 1.2× 969 1.5× 277 0.6× 140 0.3× 29 3.1k
Tetsuhiko Tachikawa Japan 27 204 0.2× 899 1.1× 157 0.2× 263 0.6× 161 0.4× 126 2.4k

Countries citing papers authored by Seunghee Cha

Since Specialization
Citations

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

Fields of papers citing papers by Seunghee Cha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seunghee Cha. 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 Seunghee Cha. The network helps show where Seunghee Cha may publish in the future.

Co-authorship network of co-authors of Seunghee Cha

This figure shows the co-authorship network connecting the top 25 collaborators of Seunghee Cha. A scholar is included among the top collaborators of Seunghee Cha 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 Seunghee Cha. Seunghee Cha 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
2.
Park, Youngran, Namseok Lee, Jae‐Seon Lee, et al.. (2025). SLIRP amplifies antiviral signaling via positive feedback regulation and contributes to autoimmune diseases. Cell Reports. 44(5). 115588–115588. 1 indexed citations
3.
Kim, Myung‐Chul, Rehae Miller, Raquel Alvarado, et al.. (2025). Diminished SUV3 expression and its functional implications in the IFN-enriched monocyte subset of childhood Sjögren’s disease. Lara D. Veeken. 64(7). 4393–4403.
4.
Zhou, Jing, et al.. (2024). Altered characteristics of regulatory T cells in target tissues of Sjögren’s syndrome in murine models. Molecular Immunology. 174. 47–56. 2 indexed citations
5.
Kim, Myung‐Chul, Umasankar De, Nicholas Borcherding, et al.. (2024). Single-cell transcriptomics unveil profiles and interplay of immune subsets in rare autoimmune childhood Sjögren’s disease. Communications Biology. 7(1). 481–481. 4 indexed citations
6.
Zhuang, Haoyang, Seunghee Cha, Edward K. L. Chan, et al.. (2024). Evidence that autoantibody production may be driven by acute Epstein-Barr virus infection in Sjögren's disease. Annals of the Rheumatic Diseases. 84(3). 467–479. 3 indexed citations
8.
Katz, Joseph, et al.. (2022). A lower prevalence of malignant lymphoma in Sjögren's syndrome patients: A cross‐sectional study. Oral Diseases. 29(8). 3313–3324. 6 indexed citations
9.
Jasmer, Kimberly J., Kevin Muñoz Forti, Lucas T. Woods, Seunghee Cha, & Gary A. Weisman. (2022). Therapeutic potential for P2Y2 receptor antagonism. Purinergic Signalling. 19(2). 401–420. 9 indexed citations
10.
Cha, Seunghee, et al.. (2021). Localization and characterization of human papillomavirus‐16 in oral squamous cell carcinoma. Oral Diseases. 29(2). 436–444. 3 indexed citations
11.
Ha, You‐Jung, Yong Seok Choi, Eun Ha Kang, et al.. (2018). Increased expression of interferon-λ in minor salivary glands of patients with primary Sjögren's syndrome and its synergic effect with interferon-α on salivary gland epithelial cells.. PubMed. 36 Suppl 112(3). 31–40. 18 indexed citations
12.
Koh, Jin, et al.. (2017). Uncovering stem cell differentiation factors for salivary gland regeneration by quantitative analysis of differential proteomes. PLoS ONE. 12(2). e0169677–e0169677. 7 indexed citations
13.
Zuo, Jianping, Kevin Choi, Annie L. Chan, et al.. (2016). Muscarinic type 3 receptor autoantibodies are associated with anti-SSA/Ro autoantibodies in Sjögren's syndrome. Journal of Immunological Methods. 437. 28–36. 18 indexed citations
14.
Cha, Seunghee, et al.. (2015). Regenerative Applications Using Tooth Derived Stem Cells in Other Than Tooth Regeneration: A Literature Review. Stem Cells International. 2016(1). 9305986–9305986. 54 indexed citations
15.
Lee, Byung Ha, et al.. (2011). Animal Models in Autoimmune Diseases: Lessons Learned from Mouse Models for Sjögren’s Syndrome. Clinical Reviews in Allergy & Immunology. 42(1). 35–44. 40 indexed citations
16.
Cha, Seunghee, et al.. (2011). Loss of PKCδ results in characteristics of Sjögren’s syndrome including salivary gland dysfunction. Oral Diseases. 17(6). 601–609. 8 indexed citations
17.
Katz, Joseph, et al.. (2009). RAGE expression and NF‐κB activation attenuated by extracellular domain of RAGE in human salivary gland cell line. Journal of Cellular Physiology. 221(2). 430–434. 19 indexed citations
18.
Cha, Seunghee, Marjan A. Versnel, Françoise Homo‐Delarche, et al.. (2001). Abnormal Organogenesis in Salivary Gland Development May Initiate Adult Onset of Autoimmune Exocrinopathy. PubMed. 18(3). 143–160. 44 indexed citations
19.
Brayer, Jason, Seunghee Cha, Hiroyuki Nagashima, et al.. (2001). IL‐4‐Dependent Effector Phase in Autoimmune Exocrinopathy as Defined by the NOD.IL‐4‐Gene Knockout Mouse Model of Sjögren's Syndrome. Scandinavian Journal of Immunology. 54(1-2). 133–140. 75 indexed citations
20.
Nguyen, Kim, Jason Brayer, Seunghee Cha, et al.. (2000). Evidence for antimuscarinic acetylcholine receptor antibody-mediated secretory dysfunction in NOD mice. Arthritis & Rheumatism. 43(10). 2297–2306. 101 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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