Zhengchun Kang

515 total citations
11 papers, 358 citations indexed

About

Zhengchun Kang is a scholar working on Oncology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Zhengchun Kang has authored 11 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 5 papers in Molecular Biology and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Zhengchun Kang's work include Cancer Immunotherapy and Biomarkers (4 papers), Immune cells in cancer (3 papers) and Ferroptosis and cancer prognosis (3 papers). Zhengchun Kang is often cited by papers focused on Cancer Immunotherapy and Biomarkers (4 papers), Immune cells in cancer (3 papers) and Ferroptosis and cancer prognosis (3 papers). Zhengchun Kang collaborates with scholars based in China. Zhengchun Kang's co-authors include Wenjun Chang, Teming Zhang, Ning Ding, Feng Lin, Lele Ye, Gangqiang Guo, Zhonglin Ni, Junjie Wang, Xinyu Shi and Kong‐Nan Zhao and has published in prestigious journals such as Frontiers in Immunology, Human Immunology and Cancer Medicine.

In The Last Decade

Zhengchun Kang

11 papers receiving 355 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhengchun Kang China 6 176 163 133 109 95 11 358
Teming Zhang China 6 160 0.9× 110 0.7× 135 1.0× 114 1.0× 89 0.9× 10 324
Kezhuo Yu China 3 278 1.6× 306 1.9× 240 1.8× 80 0.7× 108 1.1× 3 547
Yufei Bo China 4 195 1.1× 193 1.2× 141 1.1× 61 0.6× 76 0.8× 7 397
Yuji Hirami Japan 10 222 1.3× 145 0.9× 96 0.7× 162 1.5× 74 0.8× 21 405
Mohamed Abu Nada Qatar 10 281 1.6× 254 1.6× 137 1.0× 68 0.6× 66 0.7× 23 447
P. Scullin United Kingdom 4 153 0.9× 118 0.7× 105 0.8× 107 1.0× 92 1.0× 7 336
Henrik Aamodt Norway 5 180 1.0× 186 1.1× 117 0.9× 101 0.9× 77 0.8× 7 347
Wenxian You China 7 130 0.7× 74 0.5× 167 1.3× 110 1.0× 111 1.2× 10 329
Hanji Fang China 13 310 1.8× 278 1.7× 151 1.1× 123 1.1× 88 0.9× 20 509
Mingyi Ju China 11 143 0.8× 101 0.6× 301 2.3× 170 1.6× 150 1.6× 17 439

Countries citing papers authored by Zhengchun Kang

Since Specialization
Citations

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

Fields of papers citing papers by Zhengchun Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhengchun Kang

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

All Works

11 of 11 papers shown
1.
Miao, Naijun, Zhengchun Kang, Wenyan Yu, et al.. (2025). Mitochondrial reactive oxygen species promote cancer metastasis and tumor microenvironment immunosuppression through gasdermin D. Cell Death Discovery. 11(1). 219–219. 4 indexed citations
2.
Kang, Zhengchun, et al.. (2023). Immune-related gene-based model predicts the survival of colorectal carcinoma and reflected various biological statuses. Frontiers in Molecular Biosciences. 10. 1277933–1277933. 2 indexed citations
3.
Pu, Jie, et al.. (2023). SH3BP1 Regulates Melanoma Progression Through Race1/Wace2 Signaling Pathway. Clinical Medicine Insights Oncology. 17. 1373289035–1373289035. 3 indexed citations
4.
Kang, Zhengchun, et al.. (2022). ZNF516 suppresses stem cell-like characteristics by regulating the transcription of Sox2 in colorectal cancer. PubMed Central. 1 indexed citations
5.
Tan, Xiaojie, Shaoling Zheng, Wenbin Liu, et al.. (2021). Effect of APOBEC3A functional polymorphism on renal cell carcinoma is influenced by tumor necrosis factor-α and transcriptional repressor ETS1.. PubMed. 11(9). 4347–4363. 6 indexed citations
6.
Kang, Zhengchun, et al.. (2020). Promising diagnostic and prognostic value of six genes in human hepatocellular carcinoma.. American Journal of Translational Research. 12(4). 1239–1254. 6 indexed citations
7.
Kang, Zhengchun, et al.. (2019). Knockdown of long non-coding RNA TINCR decreases radioresistance in colorectal cancer cells. Pathology - Research and Practice. 215(11). 152622–152622. 17 indexed citations
8.
Ye, Lele, Teming Zhang, Zhengchun Kang, et al.. (2019). Tumor-Infiltrating Immune Cells Act as a Marker for Prognosis in Colorectal Cancer. Frontiers in Immunology. 10. 2368–2368. 230 indexed citations
9.
Kang, Zhengchun, et al.. (2018). Correlation between neutrophils changes and prognosis of colorectal cancer. Zhonghua putong waike zazhi. 33(10). 845–848. 1 indexed citations
10.
Yan, Feihu, et al.. (2018). CD8+CXCR5+ T cells in tumor-draining lymph nodes are highly activated and predict better prognosis in colorectal cancer. Human Immunology. 79(6). 446–452. 49 indexed citations
11.
Huang, Xiaopei, Ya‐min Pan, Jun Ma, et al.. (2018). Prognostic significance of the infiltration of CD163+ macrophages combined with CD66b+ neutrophils in gastric cancer. Cancer Medicine. 7(5). 1731–1741. 39 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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