Min‐Er Zhong

444 total citations
27 papers, 269 citations indexed

About

Min‐Er Zhong is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine. According to data from OpenAlex, Min‐Er Zhong has authored 27 papers receiving a total of 269 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Oncology, 10 papers in Pulmonary and Respiratory Medicine and 9 papers in Pathology and Forensic Medicine. Recurrent topics in Min‐Er Zhong's work include Colorectal Cancer Surgical Treatments (11 papers), Genetic factors in colorectal cancer (9 papers) and Colorectal Cancer Treatments and Studies (6 papers). Min‐Er Zhong is often cited by papers focused on Colorectal Cancer Surgical Treatments (11 papers), Genetic factors in colorectal cancer (9 papers) and Colorectal Cancer Treatments and Studies (6 papers). Min‐Er Zhong collaborates with scholars based in China and Hong Kong. Min‐Er Zhong's co-authors include Lai Xu, Yanyu Chen, Wei Ge, Bin Wu, Bin Wu, Huizhong Qiu, Guannan Zhang, Ze-Ping Huang, Feng Gao and Yi Xiao and has published in prestigious journals such as Journal of Clinical Oncology, Scientific Reports and World Journal of Gastroenterology.

In The Last Decade

Min‐Er Zhong

25 papers receiving 267 citations

Peers

Min‐Er Zhong
Thomas Denize United States
Niko Kemi Finland
Trudy N. Jonges Netherlands
Jinlan He China
Alexandra H. Besser United States
Guolin Ye China
Thomas Denize United States
Min‐Er Zhong
Citations per year, relative to Min‐Er Zhong Min‐Er Zhong (= 1×) peers Thomas Denize

Countries citing papers authored by Min‐Er Zhong

Since Specialization
Citations

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

Fields of papers citing papers by Min‐Er Zhong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Min‐Er Zhong. 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‐Er Zhong. The network helps show where Min‐Er Zhong may publish in the future.

Co-authorship network of co-authors of Min‐Er Zhong

This figure shows the co-authorship network connecting the top 25 collaborators of Min‐Er Zhong. A scholar is included among the top collaborators of Min‐Er Zhong 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‐Er Zhong. Min‐Er Zhong 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.
Wang, Wei, Min‐Er Zhong, Dejun Fan, et al.. (2023). An immune, stroma, and epithelial–mesenchymal transition‐related signature for predicting recurrence and chemotherapy benefit in stage II–III colorectal cancer. Cancer Medicine. 12(7). 8924–8936. 2 indexed citations
2.
Rong, Yuming, Min‐Er Zhong, Jun Liu, et al.. (2023). IGSF6 is a novel biomarker to evaluate immune infiltration in mismatch repair-proficient colorectal cancer. Scientific Reports. 13(1). 20368–20368. 3 indexed citations
3.
Zhong, Min‐Er, Yanyu Chen, Meng Pan, et al.. (2023). Proteomic profiling and functional characterization of serum-derived extracellular vesicles in the mucinous and non-mucinous colon adenocarcinoma. Journal of Cancer Research and Clinical Oncology. 149(11). 9285–9300. 1 indexed citations
4.
Zhong, Min‐Er, Xin Duan, Mayidili Nijiati, et al.. (2022). CT-based radiogenomic analysis dissects intratumor heterogeneity and predicts prognosis of colorectal cancer: a multi-institutional retrospective study. Journal of Translational Medicine. 20(1). 574–574. 13 indexed citations
5.
Cai, Qian, Yize Mao, Siqi Dai, et al.. (2022). The growth pattern of liver metastases on MRI predicts early recurrence in patients with colorectal cancer: a multicenter study. European Radiology. 32(11). 7872–7882. 4 indexed citations
6.
Zhong, Min‐Er, Ze-Ping Huang, Xun Wang, et al.. (2022). A Transcription Factor Signature Can Identify the CMS4 Subtype and Stratify the Prognostic Risk of Colorectal Cancer. Frontiers in Oncology. 12. 902974–902974. 5 indexed citations
7.
Gao, Feng, Minhao Hu, Min‐Er Zhong, et al.. (2022). Segmentation only uses sparse annotations: Unified weakly and semi-supervised learning in medical images. Medical Image Analysis. 80. 102515–102515. 22 indexed citations
8.
Wang, Wei, Min‐Er Zhong, Dejun Fan, et al.. (2022). DNA Repair–Related Gene Signature in Predicting Prognosis of Colorectal Cancer Patients. Frontiers in Genetics. 13. 872238–872238. 7 indexed citations
9.
Li, Yuezhe, Min‐Er Zhong, Ze-Ping Huang, et al.. (2022). Multi-Size Deep Learning Based Preoperative Computed Tomography Signature for Prognosis Prediction of Colorectal Cancer. Frontiers in Genetics. 13. 880093–880093. 7 indexed citations
10.
Duan, Xin, Wei Wang, Ze-Ping Huang, et al.. (2021). A Metabolism-Related Radiomics Signature for Predicting the Prognosis of Colorectal Cancer. Frontiers in Molecular Biosciences. 7. 613918–613918. 19 indexed citations
12.
Zhong, Min‐Er, Yanyu Chen, Guannan Zhang, et al.. (2019). LncRNA H19 regulates PI3K–Akt signal pathway by functioning as a ceRNA and predicts poor prognosis in colorectal cancer: integrative analysis of dysregulated ncRNA-associated ceRNA network. Cancer Cell International. 19(1). 148–148. 58 indexed citations
13.
Zhong, Min‐Er, Yanyu Chen, Yi Xiao, et al.. (2019). Serum extracellular vesicles contain SPARC and LRG1 as biomarkers of colon cancer and differ by tumour primary location. EBioMedicine. 50. 211–223. 58 indexed citations
14.
Zhai, Jiliang, Min‐Er Zhong, Jianxiong Shen, Haining Tan, & Zheng Li. (2019). Kyphoscoliosis with Klippel-Trenaunay syndrome: a case report and literature review. BMC Musculoskeletal Disorders. 20(1). 10–10. 7 indexed citations
15.
Wu, Xin, et al.. (2018). Loop ostomy following laparoscopic low anterior resection for rectal cancer after neoadjuvant chemoradiotherapy. European journal of medical research. 23(1). 24–24. 15 indexed citations
16.
Zhong, Min‐Er, Bin Wu, Lai Xu, et al.. (2017). Comparison of clinicopathologic features and survival between patients with right-sided and left-sided stage III colon cancer. Translational Cancer Research. 6(1). 254–260. 2 indexed citations
17.
Wu, Bin, Yan You, Lai Xu, et al.. (2017). A novel heterozygous germline deletion in MSH2 gene in a five generation Chinese family with Lynch syndrome. Oncotarget. 8(33). 55194–55203. 6 indexed citations
18.
Wu, Bin & Min‐Er Zhong. (2016). Technique of laparoscopic-assisted total proctocolectomy and ileal pouch anal anastomosis. Annals of Laparoscopic and Endoscopic Surgery. 1(5). 13–13.
19.
Zhong, Min‐Er, et al.. (2016). Primary malignant fibrous histiocytoma of the colon: A case report and review of the literature. Molecular and Clinical Oncology. 4(6). 1006–1008. 5 indexed citations
20.
Zhong, Min‐Er. (2016). Laparoscopic restorative proctocolectomy with ileal pouch-anal anastomosis for Peutz-Jeghers syndrome with synchronous rectal cancer. World Journal of Gastroenterology. 22(22). 5293–5293. 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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