Xiong Jin

1.7k total citations
42 papers, 1.1k citations indexed

About

Xiong Jin is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Xiong Jin has authored 42 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 15 papers in Genetics and 14 papers in Cancer Research. Recurrent topics in Xiong Jin's work include Glioma Diagnosis and Treatment (14 papers), MicroRNA in disease regulation (8 papers) and Cancer Cells and Metastasis (7 papers). Xiong Jin is often cited by papers focused on Glioma Diagnosis and Treatment (14 papers), MicroRNA in disease regulation (8 papers) and Cancer Cells and Metastasis (7 papers). Xiong Jin collaborates with scholars based in South Korea, China and United States. Xiong Jin's co-authors include Hyunggee Kim, Xun Jin, Jun-Kyum Kim, Seok Won Ham, Jinlong Yin, Hee-Young Jeon, Samuel J. Beck, Sung-Hak Kim, Ji-Eun Jung and Seon Yong Lee and has published in prestigious journals such as Circulation, Nature Communications and PLoS ONE.

In The Last Decade

Xiong Jin

40 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiong Jin South Korea 20 630 299 275 241 148 42 1.1k
Andrea Mohr Ireland 21 839 1.3× 318 1.1× 214 0.8× 205 0.9× 214 1.4× 30 1.2k
Abha Saxena India 15 754 1.2× 282 0.9× 341 1.2× 292 1.2× 96 0.6× 32 1.3k
Shilpee Dutt India 21 902 1.4× 295 1.0× 199 0.7× 154 0.6× 269 1.8× 48 1.5k
Samuel K. McBrayer United States 18 778 1.2× 196 0.7× 484 1.8× 229 1.0× 116 0.8× 44 1.2k
Bo Pang China 15 521 0.8× 295 1.0× 280 1.0× 127 0.5× 220 1.5× 50 1.0k
Gabriella Proietti Italy 12 276 0.4× 149 0.5× 187 0.7× 230 1.0× 96 0.6× 14 738
Jennifer A. Wilshire United States 7 788 1.3× 512 1.7× 416 1.5× 342 1.4× 271 1.8× 7 1.4k
Sylvia Kaden Germany 16 755 1.2× 319 1.1× 173 0.6× 160 0.7× 379 2.6× 23 1.6k
Weidong Xiong United States 20 837 1.3× 365 1.2× 161 0.6× 184 0.8× 492 3.3× 39 1.6k
Michelle M. Williams United States 21 799 1.3× 294 1.0× 221 0.8× 69 0.3× 213 1.4× 41 1.5k

Countries citing papers authored by Xiong Jin

Since Specialization
Citations

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

Fields of papers citing papers by Xiong Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiong Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Xiong Jin. A scholar is included among the top collaborators of Xiong Jin 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 Xiong Jin. Xiong Jin 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.
Jing, Hong Bo, Meichen Liu, Xiong Jin, et al.. (2024). P4HB maintains Wnt-dependent stemness in glioblastoma stem cells as a precision therapeutic target and serum marker. Oncogenesis. 13(1). 42–42. 2 indexed citations
2.
Yin, Jinlong, Yoona Seo, Xiong Jin, et al.. (2023). Cross-talk between PARN and EGFR–STAT3 Signaling Facilitates Self-Renewal and Proliferation of Glioblastoma Stem Cells. Cancer Research. 83(22). 3693–3709. 14 indexed citations
3.
Niu, Rui, et al.. (2022). The MAP3K1/c-JUN signaling axis regulates glioblastoma stem cell invasion and tumor progression. Biochemical and Biophysical Research Communications. 612. 188–195. 6 indexed citations
4.
Kim, Jung‐Hyun, Woo Jin Kim, Xiong Jin, et al.. (2021). Human pluripotent stem cell-derived alveolar organoids for modeling pulmonary fibrosis and drug testing. Cell Death Discovery. 7(1). 48–48. 57 indexed citations
5.
Lee, Jaehun, Xiong Jin, Joon‐Chul Kim, et al.. (2021). Truncated Milk Fat Globule-EGF-like Factor 8 Ameliorates Liver Fibrosis via Inhibition of Integrin-TGFβ Receptor Interaction. Biomedicines. 9(11). 1529–1529. 1 indexed citations
6.
Kim, Dong‐Kyu, Xiong Jin, Han‐Jin Park, et al.. (2020). Human Embryonic Stem Cell-Derived Wilson’s Disease Model for Screening Drug Efficacy. Cells. 9(4). 872–872. 13 indexed citations
7.
Ham, Seok Won, Jun-Kyum Kim, Hee-Young Jeon, et al.. (2019). Korean Red ginseng extract inhibits glioblastoma propagation by blocking the Wnt signaling pathway. Journal of Ethnopharmacology. 236. 393–400. 25 indexed citations
8.
Ham, Seok Won, Hee-Young Jeon, Xiong Jin, et al.. (2018). TP53 gain-of-function mutation promotes inflammation in glioblastoma. Cell Death and Differentiation. 26(3). 409–425. 150 indexed citations
9.
Jin, Xiong, Xun Jin, Leo J.Y. Kim, et al.. (2017). Inhibition of ID1–BMPR2 Intrinsic Signaling Sensitizes Glioma Stem Cells to Differentiation Therapy. Clinical Cancer Research. 24(2). 383–394. 28 indexed citations
10.
Jeon, Hee-Young, Seok Won Ham, Seon Yong Lee, et al.. (2017). BRM270, a Compound from Natural Plant Extracts, Inhibits Glioblastoma Stem Cell Properties and Glioblastoma Recurrence. Journal of Medicinal Food. 20(9). 838–845. 10 indexed citations
11.
Eun, Kiyoung, Hye-Min Jeon, Seon Yong Lee, et al.. (2017). A cell-autonomous positive-signaling circuit associated with the PDGF-NO-ID4-regulatory axis in glioblastoma cells. Biochemical and Biophysical Research Communications. 486(2). 564–570. 10 indexed citations
12.
Jin, Xun, Hye-Min Jeon, Xiong Jin, et al.. (2016). The ID1-CULLIN3 Axis Regulates Intracellular SHH and WNT Signaling in Glioblastoma Stem Cells. Cell Reports. 16(6). 1629–1641. 46 indexed citations
13.
Xu, Wei, et al.. (2016). Effect of retinoic acid on aquaporin 3 expression in keratinocytes. Genetics and Molecular Research. 15(1). 15016951–15016951. 13 indexed citations
14.
Ahn, Young-Hwan, Keu Sung Lee, Joo Hun Park, et al.. (2015). Independent Risk Factors for Mortality in Patients with Chronic Obstructive Pulmonary Disease Who Undergo Comprehensive Cardiac Evaluations. Respiration. 90(3). 199–205. 13 indexed citations
15.
Hitomi, Masahiro, Xun Jin, Samuel J. Beck, et al.. (2015). The LIM-only transcription factor LMO2 determines tumorigenic and angiogenic traits in glioma stem cells. Cell Death and Differentiation. 22(9). 1517–1525. 41 indexed citations
16.
Choi, Seung Ah, Ji Yeoun Lee, Sung Eun Kwon, et al.. (2015). Human Adipose Tissue-Derived Mesenchymal Stem Cells Target Brain Tumor-Initiating Cells. PLoS ONE. 10(6). e0129292–e0129292. 30 indexed citations
17.
18.
Huang, Xing, et al.. (2012). Prognostic value of TP/PD-ECGF and thrombocytosis in gastric carcinoma. European Journal of Surgical Oncology. 38(7). 568–573. 22 indexed citations
19.
Yoo, Lina I., Jin-Seung Park, Koo Chul Kwon, et al.. (2012). Fluorescent viral nanoparticles with stable in vitro and in vivo activity. Biomaterials. 33(26). 6194–6200. 25 indexed citations
20.
Beck, Samuel J., Xun Jin, Jinlong Yin, et al.. (2011). Identification of a peptide that interacts with Nestin protein expressed in brain cancer stem cells. Biomaterials. 32(33). 8518–8528. 35 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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