Jongmin Sim

696 total citations
49 papers, 534 citations indexed

About

Jongmin Sim is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jongmin Sim has authored 49 papers receiving a total of 534 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 15 papers in Oncology and 12 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jongmin Sim's work include MicroRNA in disease regulation (6 papers), Cancer-related molecular mechanisms research (6 papers) and Circular RNAs in diseases (6 papers). Jongmin Sim is often cited by papers focused on MicroRNA in disease regulation (6 papers), Cancer-related molecular mechanisms research (6 papers) and Circular RNAs in diseases (6 papers). Jongmin Sim collaborates with scholars based in South Korea, Japan and United States. Jongmin Sim's co-authors include Kiseok Jang, Seung Sam Paik, Seung‐Yeon Kim, Junghoon Lee, Hyunsung Kim, Hyein Ahn, Hongseob Oh, Min Sung Chung, Su‐Jin Shin and Young‐Ha Oh and has published in prestigious journals such as Nature Communications, ACS Nano and Medicine.

In The Last Decade

Jongmin Sim

44 papers receiving 525 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jongmin Sim South Korea 15 239 122 119 75 66 49 534
Deming He China 12 119 0.5× 169 1.4× 59 0.5× 144 1.9× 86 1.3× 23 446
Haoyu Lin China 19 505 2.1× 247 2.0× 292 2.5× 30 0.4× 173 2.6× 39 851
Xiaokun Xiao United States 8 698 2.9× 54 0.4× 471 4.0× 39 0.5× 24 0.4× 10 871
Ying Xia China 12 285 1.2× 27 0.2× 260 2.2× 33 0.4× 29 0.4× 23 440
Dong–Hua Luo China 16 170 0.7× 210 1.7× 128 1.1× 158 2.1× 241 3.7× 47 737
Robert H. Whitson United States 14 379 1.6× 74 0.6× 64 0.5× 24 0.3× 24 0.4× 32 610
Zhiyuan Jiang China 13 241 1.0× 142 1.2× 129 1.1× 68 0.9× 95 1.4× 40 499
Chang‐Xin Shi United States 13 208 0.9× 120 1.0× 21 0.2× 30 0.4× 11 0.2× 30 468
Jianguo Xu China 15 105 0.4× 55 0.5× 37 0.3× 62 0.8× 64 1.0× 62 557
Cun Wang China 13 239 1.0× 258 2.1× 110 0.9× 118 1.6× 95 1.4× 30 653

Countries citing papers authored by Jongmin Sim

Since Specialization
Citations

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

Fields of papers citing papers by Jongmin Sim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jongmin Sim

This figure shows the co-authorship network connecting the top 25 collaborators of Jongmin Sim. A scholar is included among the top collaborators of Jongmin Sim 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 Jongmin Sim. Jongmin Sim 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.
Sauer, Paul, Mikael Holm, Lucas Ferguson, et al.. (2026). Context-dependent translation inhibition as a cancer therapeutic modality. Nature Communications. 17(1).
2.
3.
Jang, Hochung, Daeho Park, Yoon Sook Ko, et al.. (2025). Oral PTP1B siRNA Delivery Using Milk-Derived Extracellular Vesicles for Alleviation of Acute Kidney Injury. ACS Nano. 19(46). 40085–40099.
4.
5.
Ahn, Sangjeong, et al.. (2023). A robust model training strategy using hard negative mining in a weakly labeled dataset for lymphatic invasion in gastric cancer. The Journal of Pathology Clinical Research. 10(1). e355–e355. 3 indexed citations
6.
Bang, Seongsik, Jongmin Sim, Hosub Park, et al.. (2022). Decreased Expression of Cell Adhesion Molecule 4 in Gastric Adenocarcinoma and Its Prognostic Implications. Diagnostics. 12(4). 941–941. 2 indexed citations
7.
Sim, Jongmin, Ji Young You, Eun-Shin Lee, et al.. (2022). Omission of chemotherapy for hormone receptor-positive and human epidermal growth factor receptor 2-negative breast cancer: patterns of treatment and outcomes from the Korean Breast Cancer Society Registry. Annals of Surgical Treatment and Research. 103(6). 313–313. 1 indexed citations
8.
Park, Hosub, et al.. (2022). CD47 Expression Predicts Unfavorable Prognosis in Clear Cell Renal Cell Carcinoma after Curative Resection. Diagnostics. 12(10). 2291–2291. 3 indexed citations
9.
Lee, Kyo Won, Jongmin Sim, Junseok Jeon, et al.. (2022). Recoverability of Diabetic Nephropathy of Donor Kidney After Kidney Transplantation. Transplant International. 35. 10714–10714. 3 indexed citations
10.
Kim, Hyunsung, Jongmin Sim, Seongsik Bang, et al.. (2021). Correlation of CD47 Expression with Adverse Clinicopathologic Features and an Unfavorable Prognosis in Colorectal Adenocarcinoma. Diagnostics. 11(4). 668–668. 10 indexed citations
11.
Kim, Hyunsung, Seongsik Bang, Ha Young Park, et al.. (2021). Low-Level Expression of MTUS1 Is Associated with Poor Survival in Patients with Lung Adenocarcinoma. Diagnostics. 11(7). 1250–1250. 5 indexed citations
12.
Sim, Jongmin, et al.. (2019). MicroRNA-374a Expression as a Prognostic Biomarker in Lung Adenocarcinoma. Journal of Pathology and Translational Medicine. 53(6). 354–360. 6 indexed citations
13.
Sim, Jongmin, Hyunjin Kim, Jiyeon Hyeon, Yoon‐La Choi, & Joungho Han. (2018). Anaplastic lymphoma kinase (ALK)-expressing Lung Adenocarcinoma with Combined Neuroendocrine Component or Neuroendocrine Transformation: Implications for Neuroendocrine Transformation and Response to ALK-tyrosine Kinase Inhibitors. Journal of Korean Medical Science. 33(15). e123–e123. 5 indexed citations
14.
Kim, Hyunsung, Jongmin Sim, Hyein Ahn, et al.. (2018). Single-stranded DNA binding protein 2 expression is associated with patient survival in hepatocellular carcinoma. BMC Cancer. 18(1). 1244–1244. 7 indexed citations
15.
Sim, Jongmin, Do‐Hyun Nam, Yuil Kim, et al.. (2018). Comparison of 1p and 19q status of glioblastoma by whole exome sequencing, array-comparative genomic hybridization, and fluorescence in situ hybridization. Medical Oncology. 35(5). 60–60. 16 indexed citations
16.
Kim, Hyunsung, Hyein Ahn, Jongmin Sim, et al.. (2016). Clinicopathologic Correlations of E-cadherin and Prrx-1 Expression Loss in Hepatocellular Carcinoma. Journal of Pathology and Translational Medicine. 50(5). 327–336. 3 indexed citations
17.
Ahn, Hyein, et al.. (2014). Lymphoepithelioma-like Carcinoma of the Renal Pelvis: A Case Report and Review of the Literature. The Korean Journal of Pathology. 48(6). 458–461. 6 indexed citations
18.
Jang, Kiseok, Hyein Ahn, Jongmin Sim, et al.. (2013). Loss of microRNA-200a expression correlates with tumor progression in breast cancer. Translational research. 163(3). 242–251. 31 indexed citations
19.
Sim, Jongmin, et al.. (2013). Cytomegalovirus enteritis with jejunal perforation in a patient with endometrial adenocarcinoma. World Journal of Clinical Cases. 1(7). 220–220. 3 indexed citations
20.
Jang, Si‐Hyong, Kyueng‐Whan Min, Jongmin Sim, et al.. (2012). Clinicopathological significance of CADM4 expression, and its correlation with expression of E-cadherin and Ki-67 in colorectal adenocarcinomas. Journal of Clinical Pathology. 65(10). 902–906. 14 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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