Zemin Zhang is a scholar working on Molecular Biology, Cancer Research and Oncology.
According to data from OpenAlex, Zemin Zhang has authored 140 papers receiving a total of 23.9k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Molecular Biology, 35 papers in Cancer Research and 31 papers in Oncology. Recurrent topics in Zemin Zhang's work include Cancer Genomics and Diagnostics (23 papers), Single-cell and spatial transcriptomics (22 papers) and Cancer Immunotherapy and Biomarkers (18 papers). Zemin Zhang is often cited by papers focused on Cancer Genomics and Diagnostics (23 papers), Single-cell and spatial transcriptomics (22 papers) and Cancer Immunotherapy and Biomarkers (18 papers). Zemin Zhang collaborates with scholars based in China, United States and Singapore. Zemin Zhang's co-authors include Chenwei Li, Cheng Li, Boxi Kang, Zefang Tang, Yuanyuan Zhang, Ge Gao, Tianxiang Chen, Xueda Hu, Xianwen Ren and Qiming Zhang and has published in prestigious journals such as Nature, Science and Cell.
In The Last Decade
Zemin Zhang
138 papers
receiving
23.7k citations
Hit Papers
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.
GEPIA: a web server for cancer and normal gene expression profiling and interactive analyses
20177.1k citationsZefang Tang, Chenwei Li et al.Nucleic Acids Researchprofile →
GEPIA2: an enhanced web server for large-scale expression profiling and interactive analysis
20193.1k citationsZefang Tang, Boxi Kang et al.Nucleic Acids Researchprofile →
The history and advances in cancer immunotherapy: understanding the characteristics of tumor-infiltrating immune cells and their therapeutic implications
This map shows the geographic impact of Zemin Zhang'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 Zemin Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zemin Zhang more than expected).
This network shows the impact of papers produced by Zemin Zhang. 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 Zemin Zhang. The network helps show where Zemin Zhang may publish in the future.
Co-authorship network of co-authors of Zemin Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Zemin Zhang.
A scholar is included among the top collaborators of Zemin Zhang 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 Zemin Zhang. Zemin Zhang is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Zeng, Ruizhen, Zemin Zhang, XI Zhang-ying, et al.. (2006). Identification of Multiple Alleles at the Wx Locus and Development of Single Segment Substitution Lines for the Alleles in Rice. 13(1). 9–14.7 indexed citations
Zhang, Zemin. (2003). Analysis of Introgressed Segments in Near-isogenic Lines for F_1 Pollen Sterility in Rice (Oryza sativa).1 indexed citations
20.
Li, Wentao, Ruizhen Zeng, Zemin Zhang, & Guiquan Zhang. (2002). Mapping of S-b locus for F_(1) pollen sterility in cultivated rice using PCR based markers. Zhiwu xuebao. 44(4). 463–467.25 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.