Hyun Jin Sun

784 total citations
19 papers, 647 citations indexed

About

Hyun Jin Sun is a scholar working on Molecular Biology, Oncology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Hyun Jin Sun has authored 19 papers receiving a total of 647 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 10 papers in Oncology and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Hyun Jin Sun's work include Bone health and treatments (5 papers), Bone Metabolism and Diseases (5 papers) and Wnt/β-catenin signaling in development and cancer (4 papers). Hyun Jin Sun is often cited by papers focused on Bone health and treatments (5 papers), Bone Metabolism and Diseases (5 papers) and Wnt/β-catenin signaling in development and cancer (4 papers). Hyun Jin Sun collaborates with scholars based in South Korea, Japan and Puerto Rico. Hyun Jin Sun's co-authors include Sun Wook Cho, Chan Soo Shin, Sang Wan Kim, Seong Yeon Kim, Young Joo Park, Hyung Jin Choi, Jin Woo Lee, Jae‐Yeon Yang, Young A Kim and Hwa Young Cho and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Scientific Reports and Clinical Cancer Research.

In The Last Decade

Hyun Jin Sun

19 papers receiving 638 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hyun Jin Sun South Korea 14 371 207 142 81 80 19 647
Rachel M. Locklin United Kingdom 14 540 1.5× 295 1.4× 115 0.8× 63 0.8× 167 2.1× 20 896
Peggy Benisch Germany 6 251 0.7× 87 0.4× 140 1.0× 56 0.7× 74 0.9× 7 444
Krishna M. Sinha United States 13 736 2.0× 163 0.8× 88 0.6× 162 2.0× 65 0.8× 26 1.0k
Keigo Hanada Japan 8 294 0.8× 121 0.6× 203 1.4× 28 0.3× 59 0.7× 13 819
Richa Khatri United States 9 285 0.8× 113 0.5× 141 1.0× 284 3.5× 64 0.8× 10 667
Bénédicte Brounais France 7 347 0.9× 223 1.1× 110 0.8× 47 0.6× 73 0.9× 11 714
Leslie Kurtzberg United States 11 437 1.2× 149 0.7× 65 0.5× 50 0.6× 22 0.3× 14 780
Adel Ersek United Kingdom 8 242 0.7× 102 0.5× 120 0.8× 45 0.6× 74 0.9× 15 514
Konosuke Nakayama Japan 9 337 0.9× 204 1.0× 33 0.2× 33 0.4× 141 1.8× 13 625
Valerie A. Siclari United States 9 341 0.9× 281 1.4× 51 0.4× 120 1.5× 64 0.8× 10 658

Countries citing papers authored by Hyun Jin Sun

Since Specialization
Citations

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

Fields of papers citing papers by Hyun Jin Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hyun Jin Sun. 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 Hyun Jin Sun. The network helps show where Hyun Jin Sun may publish in the future.

Co-authorship network of co-authors of Hyun Jin Sun

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

All Works

19 of 19 papers shown
1.
Song, Min‐Kyoung, Hyun Jin Sun, & Sun Wook Cho. (2022). Conditioned medium of amniotic fluid‐derived stromal cells exerts a bone anabolic effect by enhancing progenitor population and angiogenesis. Journal of Tissue Engineering and Regenerative Medicine. 16(10). 923–933. 1 indexed citations
2.
3.
Lee, Kyung-Hun, Kyoung Jin Lee, Tae‐Yong Kim, et al.. (2020). Circulating Osteocalcin-Positive Cells as a Novel Diagnostic Biomarker for Bone Metastasis in Breast Cancer Patients. Journal of Bone and Mineral Research. 35(10). 1838–1849. 17 indexed citations
4.
Kim, Min Joo, Hyun Jin Sun, Young Shin Song, et al.. (2019). CXCL16 positively correlated with M2-macrophage infiltration, enhanced angiogenesis, and poor prognosis in thyroid cancer. Scientific Reports. 9(1). 13288–13288. 59 indexed citations
5.
Song, Young Shin, Min Joo Kim, Hyun Jin Sun, et al.. (2018). Aberrant Thyroid-Stimulating Hormone Receptor Signaling Increases VEGF-A and CXCL8 Secretion of Thyroid Cancer Cells, Contributing to Angiogenesis and Tumor Growth. Clinical Cancer Research. 25(1). 414–425. 34 indexed citations
6.
Sun, Hyun Jin, Young Shin Song, Sun Wook Cho, & Young Joo Park. (2017). Enhancement of Osteogenic Differentiation by Combination Treatment with 5-azacytidine and Thyroid-Stimulating Hormone in Human Osteoblast Cells. 10(2). 71–71. 1 indexed citations
7.
Song, Young Shin, Eun Young Kim, Hyun Jin Sun, et al.. (2016). Abstract B61: Effects of metformin on papillary thyroid cancer apoptosis and autophagy. Molecular Cancer Research. 14(1_Supplement). B61–B61. 2 indexed citations
8.
Cho, Sun Wook, Young A Kim, Hyun Jin Sun, et al.. (2015). CXCL16 signaling mediated macrophage effects on tumor invasion of papillary thyroid carcinoma. Endocrine Related Cancer. 23(2). 113–124. 44 indexed citations
9.
Cho, Sun Wook, Ka Hee Yi, Hyun Jin Sun, et al.. (2014). Therapeutic potential of metformin in papillary thyroid cancer in vitro and in vivo. Molecular and Cellular Endocrinology. 393(1-2). 24–29. 42 indexed citations
10.
Cho, Sun Wook, Young A Kim, Hyun Jin Sun, et al.. (2014). Therapeutic Potential of Dickkopf-1 in Wild-Type BRAF Papillary Thyroid Cancer via Regulation of β-Catenin/E-cadherin Signaling. The Journal of Clinical Endocrinology & Metabolism. 99(9). E1641–E1649. 13 indexed citations
11.
Cho, Sun Wook, Hyun Jin Sun, Jae-Yeon Yang, et al.. (2012). Human Adipose Tissue-Derived Stromal Cell Therapy Prevents Bone Loss in Ovariectomized Nude Mouse. Tissue Engineering Part A. 18(9-10). 1067–1078. 40 indexed citations
12.
Cho, Sun Wook, Jae-Yeon Yang, Hyung Jin Choi, et al.. (2011). Osteoblast-targeted overexpression of PPARγ inhibited bone mass gain in male mice and accelerated ovariectomy-induced bone loss in female mice. Journal of Bone and Mineral Research. 26(8). 1939–1952. 44 indexed citations
13.
14.
Oh, Sangmi, Sun Wook Cho, Jae-Yeon Yang, et al.. (2010). Discovery of a novel benzopyranyl compound as a potent in vitro and in vivo osteogenic agent. MedChemComm. 2(1). 76–80. 14 indexed citations
15.
Cho, Sun Wook, Hyun Jin Sun, Jae‐Yeon Yang, et al.. (2009). Transplantation of Mesenchymal Stem Cells Overexpressing RANK-Fc or CXCR4 Prevents Bone Loss in Ovariectomized Mice. Molecular Therapy. 17(11). 1979–1987. 75 indexed citations
16.
Cho, Sun Wook, Jae‐Yeon Yang, Hyun Jin Sun, et al.. (2009). Wnt inhibitory factor (WIF)-1 inhibits osteoblastic differentiation in mouse embryonic mesenchymal cells. Bone. 44(6). 1069–1077. 47 indexed citations
17.
Cho, Sun Wook, Hyun Jin Sun, Jae‐Yeon Yang, et al.. (2008). Differential effects of secreted frizzled-related proteins (sFRPs) on osteoblastic differentiation of mouse mesenchymal cells and apoptosis of osteoblasts. Biochemical and Biophysical Research Communications. 367(2). 399–405. 46 indexed citations
18.
Sun, Hyun Jin, et al.. (2006). A proteomic analysis during serial subculture and osteogenic differentiation of human mesenchymal stem cell. Journal of Orthopaedic Research®. 24(11). 2059–2071. 71 indexed citations
19.

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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Breakdown of academic impact, for papers by Rachel M. Locklin Breakdown of academic impact, for papers by Peggy Benisch Breakdown of academic impact, for papers by Krishna M. Sinha Breakdown of academic impact, for papers by Keigo Hanada Breakdown of academic impact, for papers by Richa Khatri Breakdown of academic impact, for papers by Bénédicte Brounais Breakdown of academic impact, for papers by Leslie Kurtzberg Breakdown of academic impact, for papers by Adel Ersek Breakdown of academic impact, for papers by Konosuke Nakayama Breakdown of academic impact, for papers by Valerie A. Siclari
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