Min Jong Song

1.9k total citations
67 papers, 1.4k citations indexed

About

Min Jong Song is a scholar working on Surgery, Pharmacology and Obstetrics and Gynecology. According to data from OpenAlex, Min Jong Song has authored 67 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Surgery, 13 papers in Pharmacology and 13 papers in Obstetrics and Gynecology. Recurrent topics in Min Jong Song's work include Healthcare and Venom Research (13 papers), Bee Products Chemical Analysis (10 papers) and Endometrial and Cervical Cancer Treatments (8 papers). Min Jong Song is often cited by papers focused on Healthcare and Venom Research (13 papers), Bee Products Chemical Analysis (10 papers) and Endometrial and Cervical Cancer Treatments (8 papers). Min Jong Song collaborates with scholars based in South Korea, United States and Sweden. Min Jong Song's co-authors include Jin Tae Hong, Sang‐Bae Han, Ho Sueb Song, Mi Hee Park, Mats Hellström, Arvind Manikantan Padma, Miran Jo, Mats Brännström, Dong Ju Son and Jang Heub Kim and has published in prestigious journals such as International Journal of Molecular Sciences, Critical Care Medicine and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

Min Jong Song

62 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Min Jong Song South Korea 21 454 326 305 298 198 67 1.4k
Krystyna Olczyk Poland 19 150 0.3× 390 1.2× 137 0.4× 383 1.3× 85 0.4× 126 1.6k
Jai‐Hong Cheng Taiwan 21 154 0.3× 61 0.2× 349 1.1× 308 1.0× 45 0.2× 79 1.3k
Norie Arai Japan 22 167 0.4× 329 1.0× 119 0.4× 464 1.6× 459 2.3× 41 1.7k
Mônica Alves Neves Diniz Ferreira Brazil 16 96 0.2× 134 0.4× 111 0.4× 192 0.6× 98 0.5× 37 733
Amir Fattahi Iran 23 42 0.1× 23 0.1× 129 0.4× 547 1.8× 397 2.0× 93 1.7k
Dandan Wang China 24 37 0.1× 50 0.2× 69 0.2× 982 3.3× 389 2.0× 105 1.7k
Reza Mahdian Iran 22 51 0.1× 19 0.1× 116 0.4× 839 2.8× 234 1.2× 111 1.7k
Yun Huang China 22 40 0.1× 89 0.3× 168 0.6× 718 2.4× 170 0.9× 78 1.5k

Countries citing papers authored by Min Jong Song

Since Specialization
Citations

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

Fields of papers citing papers by Min Jong Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Min Jong Song. 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 Min Jong Song. The network helps show where Min Jong Song may publish in the future.

Co-authorship network of co-authors of Min Jong Song

This figure shows the co-authorship network connecting the top 25 collaborators of Min Jong Song. A scholar is included among the top collaborators of Min Jong Song 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 Min Jong Song. Min Jong Song 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.
Han, Eun Ji, Jun Hyuk Son, Mihai Oltean, et al.. (2025). Predicting the Outcome of Lymphovenous Anastomosis for Lower Extremity Lymphedema through Lymphoscintigraphy. International Journal of Medical Sciences. 22(13). 3174–3181.
2.
3.
Song, Min Jong, Dae Hun Kim, Su‐Young Kim, Noeul Kang, & Byung Woo Jhun. (2024). Comparison of the sputum microbiome between patients with stable nontuberculous mycobacterial pulmonary disease and patients requiring treatment. BMC Microbiology. 24(1). 172–172. 6 indexed citations
4.
5.
Lee, Y.-J., Dong Hun Lee, Yong Sun Lee, et al.. (2019). Anti-inflammatory effect of bee venom in phthalic anhydride-induced atopic dermatitis animal model. Inflammopharmacology. 28(1). 253–263. 16 indexed citations
6.
Lee, Keun Ho, Yong Seok Lee, In Cheul Jeung, Min Jong Song, & Eun Kyung Park. (2018). Laparoendoscopic single-site myomectomy using combined suture technique versus conventional laparoscopic myomectomy: a comparison of surgical outcomes. Clinical and Experimental Obstetrics & Gynecology. 45(2). 198–203. 1 indexed citations
7.
Lee, Doyeon, Chul Ju Hwang, Mi Hee Park, et al.. (2017). KRICT-9 inhibits neuroinflammation, amyloidogenesis and memory loss in Alzheimer’s disease models. Oncotarget. 8(40). 68654–68667. 8 indexed citations
8.
Jeung, In Cheul, et al.. (2017). Laparoendoscopic Single-Site Total Laparoscopic Hysterectomy: Clinical Factors that Affect Operative Times and Techniques to Overcome Difficulties. Journal of Minimally Invasive Gynecology. 24(4). 617–625. 5 indexed citations
9.
Lee, Dong Hun, Ji Eun Hong, Ji Eun Hong, et al.. (2015). Interleukin‐32β ameliorates metabolic disorder and liver damage in mice fed high‐fat diet. Obesity. 23(3). 615–622. 20 indexed citations
10.
Lee, Hye Lim, Tae Myoung Kim, Yu Yeon Jung, et al.. (2015). Bee venom inhibits growth of human cervical tumors in mice. Oncotarget. 6(9). 7280–7292. 11 indexed citations
11.
Gu, Sun Mi, Mi Hee Park, Chul Ju Hwang, et al.. (2015). Bee venom ameliorates lipopolysaccharide-induced memory loss by preventing NF-kappaB pathway. Journal of Neuroinflammation. 12(1). 124–124. 59 indexed citations
12.
Choi, Kyung Un, Chul Ju Hwang, Mi Park, et al.. (2014). Cancer Cell Growth Inhibitory Effect of Bee Venom via Increase of Death Receptor 3 Expression and Inactivation of NF-kappa B in NSCLC Cells. Toxins. 6(8). 2210–2228. 55 indexed citations
13.
Kim, Jung‐Hyun, Sang Min Lee, Mi Hee Park, et al.. (2013). Co-culture with NK-92MI cells enhanced the anti-cancer effect of bee venom on NSCLC cells by inactivation of NF-κB. Archives of Pharmacal Research. 37(3). 379–389. 12 indexed citations
14.
Lee, Chung Won, Sung Jong Lee, Eun Kyung Park, et al.. (2012). Anti-tumor activity of melittin in ovarian cancer cell lines. 98. 367–367. 1 indexed citations
15.
Lee, Yong Seok, Chung Won Lee, Min Jong Song, et al.. (2011). Cell‐mediated immune response to human papillomavirus 16 E7 peptide pools in patients with cervical neoplasia. Acta Obstetricia Et Gynecologica Scandinavica. 90(12). 1350–1356. 6 indexed citations
16.
Song, Min Jong, Min Cho, Dong Cheul Moon, et al.. (2011). Interleukin‐32 enhances cytotoxic effect of natural killer cells to cancer cells via activation of death receptor 3. Immunology. 135(1). 63–72. 49 indexed citations
17.
Jo, Miran, Mi Hee Park, Ho Sueb Song, et al.. (2011). Anti-cancer effect of bee venom toxin and melittin in ovarian cancer cells through induction of death receptors and inhibition of JAK2/STAT3 pathway. Toxicology and Applied Pharmacology. 258(1). 72–81. 204 indexed citations
18.
Lee, Hwajeong, Myung Sook Choi, Dong Ju Son, et al.. (2008). JNK pathway is involved in the inhibition of inflammatory target gene expression and NF-kappaB activation by melittin. Journal of Inflammation. 5(1). 7–7. 89 indexed citations
19.
Song, Min Jong, et al.. (2007). A case of uterine inversion resulted from prolapse of huge pedunculated uterine submucosal leiomyoma. Obstetrics & Gynecology Science. 50(2). 380–383. 1 indexed citations
20.
Bae, Ji Yun, et al.. (2005). The effect of colpoperineoplasty on female sexual function. Obstetrics & Gynecology Science. 48(6). 1513–1520. 1 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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