Mingjun Zheng

1.4k total citations · 1 hit paper
46 papers, 907 citations indexed

About

Mingjun Zheng is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Mingjun Zheng has authored 46 papers receiving a total of 907 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 22 papers in Cancer Research and 13 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Mingjun Zheng's work include Cancer-related molecular mechanisms research (14 papers), Ferroptosis and cancer prognosis (12 papers) and RNA modifications and cancer (9 papers). Mingjun Zheng is often cited by papers focused on Cancer-related molecular mechanisms research (14 papers), Ferroptosis and cancer prognosis (12 papers) and RNA modifications and cancer (9 papers). Mingjun Zheng collaborates with scholars based in China, Germany and United States. Mingjun Zheng's co-authors include Bei Lin, Rui Gou, Yuexin Hu, Juanjuan Liu, Xin Nie, Lingling Gao, Ouxuan Liu, Guohua Yan, Jinmin Zhao and Hanji Huang and has published in prestigious journals such as International Journal of Molecular Sciences, Geological Society of America Bulletin and Biochemical Pharmacology.

In The Last Decade

Mingjun Zheng

46 papers receiving 901 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Anti-inflammatory and immunomodulatory effects of the extracellular vesicles derived from human umbilical cord mesenchymal stem cells on osteoarthritis via M2 macrophages

2022 154 citations Guohua Yan, Hanji Huang et al. Journal of Nanobiotechnology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mingjun Zheng China	17	573	386	225	196	121	46	907
Marco A. Di Grappa Canada	12	567 1.0×	290 0.8×	174 0.8×	615 3.1×	102 0.8×	14	1.1k
М. В. Немцова Russia	15	556 1.0×	266 0.7×	105 0.5×	183 0.9×	69 0.6×	93	885
Angela Celetti Italy	27	1.0k 1.8×	221 0.6×	260 1.2×	561 2.9×	115 1.0×	44	1.5k
Jaime Ferrer-Lozano Spain	13	478 0.8×	299 0.8×	187 0.8×	366 1.9×	42 0.3×	27	876
Yuanbin Ru United States	15	846 1.5×	524 1.4×	175 0.8×	357 1.8×	76 0.6×	17	1.3k
Ana Cristina Vargas Australia	17	637 1.1×	472 1.2×	254 1.1×	376 1.9×	68 0.6×	36	1.1k
Eric D. Young United States	18	376 0.7×	184 0.5×	408 1.8×	276 1.4×	55 0.5×	33	943
Qingfu Zhang China	22	816 1.4×	531 1.4×	376 1.7×	377 1.9×	128 1.1×	63	1.4k
Liyan Xue China	17	507 0.9×	211 0.5×	305 1.4×	263 1.3×	52 0.4×	50	922
Chuifeng Fan China	20	694 1.2×	238 0.6×	331 1.5×	366 1.9×	97 0.8×	77	1.2k

Countries citing papers authored by Mingjun Zheng

Since Specialization

Citations

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

Fields of papers citing papers by Mingjun Zheng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingjun Zheng

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

All Works

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20 of 20 papers shown

Zheng, Mingjun, Mirjana Kessler, Udo Jeschke, et al.. (2025). Necroptosis-Related Gene Signature Predicts Prognosis in Patients with Advanced Ovarian Cancer. Cancers. 17(2). 271–271. 1 indexed citations

Sun, Xiang, et al.. (2024). Classification of volcanogenic massive sulfide deposits in North Qilian, China: Evidenced from lithostratigraphy and geodynamic setting. Ore Geology Reviews. 173. 106228–106228. 2 indexed citations

Nie, Xin, Lingling Gao, Mingjun Zheng, et al.. (2024). ST14 interacts with TMEFF1 and is a predictor of poor prognosis in ovarian cancer. BMC Cancer. 24(1). 330–330. 2 indexed citations

Huang, Hanji, Mingjun Zheng, Xiong Qin, et al.. (2023). Hsa_circ_0007031 promotes the proliferation and migration of osteosarcoma cells by sponging miR-196a-5p to regulate the HOXB6. Biochemical Pharmacology. 214. 115667–115667. 8 indexed citations

Zheng, Mingjun, Yuexin Hu, Ouxuan Liu, et al.. (2023). Oxidative Stress Response Biomarkers of Ovarian Cancer Based on Single-Cell and Bulk RNA Sequencing. Oxidative Medicine and Cellular Longevity. 2023. 1–22. 16 indexed citations

Yan, Guohua, Hanji Huang, Mingjun Zheng, et al.. (2022). Anti-inflammatory and immunomodulatory effects of the extracellular vesicles derived from human umbilical cord mesenchymal stem cells on osteoarthritis via M2 macrophages. Journal of Nanobiotechnology. 20(1). 38–38. 154 indexed citations breakdown →

Nie, Xin, Mingjun Zheng, Lingling Gao, et al.. (2022). Interaction between TMEFF1 and AHNAK proteins in ovarian cancer cells: Implications for clinical prognosis. International Immunopharmacology. 107. 108726–108726. 4 indexed citations

Nie, Xin, Dawo Liu, Mingjun Zheng, et al.. (2022). HERPUD1 promotes ovarian cancer cell survival by sustaining autophagy and inhibit apoptosis via PI3K/AKT/mTOR and p38 MAPK signaling pathways. BMC Cancer. 22(1). 1338–1338. 14 indexed citations

Vattai, Aurelia, Elisa Schmoeckel, Till Kaltofen, et al.. (2021). Trace Amine-Associated Receptor 1 (TAAR1) Is a Positive Prognosticator for Epithelial Ovarian Cancer. International Journal of Molecular Sciences. 22(16). 8479–8479. 7 indexed citations

10.

Zheng, Mingjun, Junyu Long, Anca Chelariu-Raicu, et al.. (2021). Identification of a Novel Tumor Microenvironment Prognostic Signature for Advanced-Stage Serous Ovarian Cancer. Cancers. 13(13). 3343–3343. 19 indexed citations

11.

Hu, Yuexin, Mingjun Zheng, Shuang Wang, et al.. (2021). Identification of a five-gene signature of the RGS gene family with prognostic value in ovarian cancer. Genomics. 113(4). 2134–2144. 43 indexed citations

12.

Mayr, Doris, Clemens Scherer, Anca Chelariu-Raicu, et al.. (2021). Actin Beta-Like 2 as a New Mediator of Proliferation and Migration in Epithelial Ovarian Cancer. Frontiers in Oncology. 11. 713026–713026. 6 indexed citations

13.

Gou, Rui, Yuexin Hu, Ouxuan Liu, et al.. (2021). PGK1 Is a Key Target for Anti-Glycolytic Therapy of Ovarian Cancer: Based on the Comprehensive Analysis of Glycolysis-Related Genes. Frontiers in Oncology. 11. 682461–682461. 24 indexed citations

14.

Zheng, Mingjun, Anna Hester, Bastian Czogalla, et al.. (2020). Development and Validation of a Novel 11-Gene Prognostic Model for Serous Ovarian Carcinomas Based on Lipid Metabolism Expression Profile. International Journal of Molecular Sciences. 21(23). 9169–9169. 34 indexed citations

15.

Zheng, Mingjun, Yuexin Hu, Rui Gou, et al.. (2020). Identification of immune‐enhanced molecular subtype associated with BRCA1 mutations, immune checkpoints and clinical outcome in ovarian carcinoma. Journal of Cellular and Molecular Medicine. 24(5). 2819–2831. 22 indexed citations

16.

Zheng, Mingjun, Yuexin Hu, Rui Gou, et al.. (2020). Identification three LncRNA prognostic signature of ovarian cancer based on genome-wide copy number variation. Biomedicine & Pharmacotherapy. 124. 109810–109810. 46 indexed citations

17.

Gao, Lingling, Xin Nie, Mingjun Zheng, et al.. (2019). TMEFF2 is a novel prognosis signature and target for endometrial carcinoma. Life Sciences. 243. 116910–116910. 9 indexed citations

18.

Wang, Jing, Mingjun Zheng, Liancheng Zhu, et al.. (2019). Low BCL9 expression inhibited ovarian epithelial malignant tumor progression by decreasing proliferation, migration, and increasing apoptosis to cancer cells. Cancer Cell International. 19(1). 330–330. 9 indexed citations

19.

Zheng, Mingjun, Rui Gou, Wenchao Zhang, et al.. (2018). Screening of prognostic biomarkers for endometrial carcinoma based on a ceRNA network. PeerJ. 6. e6091–e6091. 10 indexed citations

20.

Zheng, Mingjun, Jing Wang, Huimin Wang, et al.. (2018). Decreased expression of peroxiredoxin1 inhibits proliferation, invasion, and metastasis of ovarian cancer cell. OncoTargets and Therapy. Volume 11. 7745–7761. 15 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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