Pengming Sun

2.6k total citations · 1 hit paper
134 papers, 1.9k citations indexed

About

Pengming Sun is a scholar working on Epidemiology, Molecular Biology and Obstetrics and Gynecology. According to data from OpenAlex, Pengming Sun has authored 134 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Epidemiology, 36 papers in Molecular Biology and 28 papers in Obstetrics and Gynecology. Recurrent topics in Pengming Sun's work include Cervical Cancer and HPV Research (44 papers), Endometrial and Cervical Cancer Treatments (21 papers) and Estrogen and related hormone effects (20 papers). Pengming Sun is often cited by papers focused on Cervical Cancer and HPV Research (44 papers), Endometrial and Cervical Cancer Treatments (21 papers) and Estrogen and related hormone effects (20 papers). Pengming Sun collaborates with scholars based in China, Germany and Australia. Pengming Sun's co-authors include Binhua Dong, Xiaodan Mao, Jalid Sehouli, Lihua Chen, Guanyu Ruan, Alexander Mustea, W. Lichtenegger, Lihui Wei, Wei Cang and Yu Gu and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Analytical Chemistry.

In The Last Decade

Pengming Sun

124 papers receiving 1.8k citations

Hit Papers

Lactate-Lactylation Hands between Metabolic Reprogramming... 2022 2026 2023 2024 2022 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pengming Sun China 23 727 480 402 336 275 134 1.9k
Katherine Moxley United States 26 611 0.8× 392 0.8× 375 0.9× 515 1.5× 176 0.6× 71 2.0k
Xiang Tao China 19 525 0.7× 346 0.7× 292 0.7× 197 0.6× 87 0.3× 92 1.3k
Yoo Duk Choi South Korea 28 770 1.1× 332 0.7× 353 0.9× 857 2.6× 200 0.7× 203 2.6k
Sang Yong Song South Korea 35 1.6k 2.2× 561 1.2× 1.0k 2.6× 1.2k 3.5× 382 1.4× 138 3.9k
Thomas Kalinski Germany 30 1.0k 1.4× 193 0.4× 381 0.9× 544 1.6× 316 1.1× 113 2.6k
Torill Sauer Norway 25 529 0.7× 399 0.8× 603 1.5× 851 2.5× 102 0.4× 108 2.1k
Tibor Krenács Hungary 36 1.6k 2.1× 210 0.4× 539 1.3× 828 2.5× 511 1.9× 175 3.6k
Rulong Shen United States 27 1.2k 1.7× 252 0.5× 464 1.2× 612 1.8× 335 1.2× 89 2.5k
J M Arbeit United States 14 601 0.8× 395 0.8× 368 0.9× 457 1.4× 258 0.9× 21 1.6k
Lisha Mou China 26 799 1.1× 94 0.2× 279 0.7× 121 0.4× 254 0.9× 132 1.8k

Countries citing papers authored by Pengming Sun

Since Specialization
Citations

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

Fields of papers citing papers by Pengming Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pengming Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Pengming Sun. A scholar is included among the top collaborators of Pengming 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 Pengming Sun. Pengming Sun 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.
Lu, Zhen, Binhua Dong, Tian Tian, et al.. (2025). Identifying Data-Driven Clinical Subgroups for Cervical Cancer Prevention With Machine Learning: Population-Based, External, and Diagnostic Validation Study. JMIR Public Health and Surveillance. 11. e67840–e67840. 1 indexed citations
3.
Mao, Xiaodan, Qibin Wu, Pingping Su, et al.. (2025). Antagonism of estrogen-related receptor-α inhibits mitochondrial oxidative phosphorylation and reduces M2 macrophage infiltration in endometrial cancer. Journal for ImmunoTherapy of Cancer. 13(9). e012521–e012521.
4.
5.
Ren, Yuan, Dabin Liu, Shuting Tang, et al.. (2024). Assessment of Immune Status in Patients with Mismatch Repair Deficiency Endometrial Cancer. Journal of Inflammation Research. Volume 17. 2039–2050. 1 indexed citations
6.
Chen, Yanlin, et al.. (2023). Platelet-to-Lymphocyte Ratio (PLR) as the Prognostic Factor for Recurrence/Residual Disease in HSIL Patients After LEEP. Journal of Inflammation Research. Volume 16. 1923–1936. 7 indexed citations
7.
Jian, An, et al.. (2022). Myomectomy for a Large Submucosal Fibroid at the Time of Caesarean Section. Journal of College of Physicians And Surgeons Pakistan. 32(3). 383–385.
8.
Su, Pingping, An Jian, Huifang Lei, et al.. (2022). Peripheral Blood Lymphocyte Subsets as a Risk Predictor of Patients with Endometrioid Endometrial Cancer. Journal of Inflammation Research. Volume 15. 6153–6163. 3 indexed citations
9.
Lei, Huifang, et al.. (2021). Systemic Immune-Inflammatory Index as a Predictor of Lymph Node Metastasis in Endometrial Cancer. Journal of Inflammation Research. Volume 14. 7131–7142. 33 indexed citations
10.
Tong, Yao, et al.. (2020). Coinfection of High-Risk Human Papillomavirus and Lower Genital Tract Pathogens in the Development of High-Grade Cervical Lesions. Canadian Journal of Infectious Diseases and Medical Microbiology. 2020. 1–8. 1 indexed citations
12.
Wang, Liya, Xiujie Sheng, Qiming Wang, et al.. (2020). <p>Malignant Ovarian Tumors During Pregnancy: A Multicenter Retrospective Analysis</p>. Cancer Management and Research. Volume 12. 10841–10848. 7 indexed citations
13.
Mao, Xiaodan, et al.. (2020). <p>Peripheral Blood Inflammatory-Immune Cells as a Predictor of Infertility in Women with Polycystic Ovary Syndrome</p>. Journal of Inflammation Research. Volume 13. 441–450. 33 indexed citations
14.
Tong, Yao, et al.. (2020). <p>Low Red Blood Cell Count as an Early Indicator for Myometrial Invasion in Women with Endometrioid Endometrial Carcinoma with Metabolic Syndrome</p>. Cancer Management and Research. Volume 12. 10849–10859. 5 indexed citations
15.
Mao, Xiaodan, Binhua Dong, Min Gao, et al.. (2019). <p>Dual targeting of estrogen receptor α and estrogen-related receptor α: a novel endocrine therapy for endometrial cancer</p>. OncoTargets and Therapy. Volume 12. 6757–6767. 16 indexed citations
16.
Wang, Xuechun, et al.. (2018). Effect of a synthetic inhibitor of urokinase plasminogen activator on the migration and invasion of human cervical cancer cells in vitro. Molecular Medicine Reports. 17(3). 4273–4280. 13 indexed citations
17.
Sun, Pengming, et al.. (2018). PCR-reverse dot blot human papillomavirus genotyping as a primary screening test for cervical cancer in a hospital-based cohort. Journal of Gynecologic Oncology. 30(3). e29–e29. 12 indexed citations
18.
Sun, Pengming, Xiaodan Mao, Min Gao, et al.. (2018). Novel endocrine therapeutic strategy in endometrial carcinoma targeting estrogen-related receptor &alpha; by XCT790 and siRNA. Cancer Management and Research. Volume 10. 2521–2535. 19 indexed citations
19.
Mao, Xiaodan, et al.. (2018). Clinical validation of the Cervista<sup>&reg;</sup>&nbsp;high-risk human papillomavirus test in Chinese women from Fujian province: a cross-sectional study. Therapeutics and Clinical Risk Management. Volume 14. 2243–2253. 2 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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