Sanjun Cai

7.8k total citations · 3 hit papers
132 papers, 5.3k citations indexed

About

Sanjun Cai is a scholar working on Oncology, Surgery and Pathology and Forensic Medicine. According to data from OpenAlex, Sanjun Cai has authored 132 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Oncology, 45 papers in Surgery and 36 papers in Pathology and Forensic Medicine. Recurrent topics in Sanjun Cai's work include Colorectal Cancer Surgical Treatments (52 papers), Colorectal Cancer Treatments and Studies (42 papers) and Colorectal and Anal Carcinomas (37 papers). Sanjun Cai is often cited by papers focused on Colorectal Cancer Surgical Treatments (52 papers), Colorectal Cancer Treatments and Studies (42 papers) and Colorectal and Anal Carcinomas (37 papers). Sanjun Cai collaborates with scholars based in China, United States and United Kingdom. Sanjun Cai's co-authors include Ye Xu, Xinxiang Li, Junjie Peng, Yanlei Ma, Wenhao Weng, Guoxiang Cai, Dawei Li, Yaqi Li, Ping Wei and Yongzhi Yang and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Sanjun Cai

124 papers receiving 5.2k citations

Hit Papers

Tumor-derived exosomal miR-934 induces macrophage M2 pola... 2017 2026 2020 2023 2020 2017 2022 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sanjun Cai China 35 2.6k 2.4k 1.7k 913 815 132 5.3k
Ye Xu China 38 2.9k 1.1× 1.9k 0.8× 2.2k 1.3× 768 0.8× 804 1.0× 187 5.7k
Yoshinaga Okugawa Japan 43 3.5k 1.4× 2.5k 1.0× 2.6k 1.5× 1.0k 1.1× 939 1.2× 237 6.9k
Qiang Ding China 40 2.8k 1.1× 1.2k 0.5× 1.7k 1.0× 872 1.0× 1.1k 1.4× 254 5.6k
Jacintha O’Sullivan Ireland 41 2.2k 0.8× 1.7k 0.7× 1.2k 0.7× 787 0.9× 697 0.9× 171 5.3k
Vivian Wai Yan Lui Hong Kong 40 3.5k 1.4× 2.5k 1.0× 1.7k 1.0× 568 0.6× 1.1k 1.4× 112 6.9k
Marko Kornmann Germany 39 2.5k 1.0× 2.4k 1.0× 1.7k 1.0× 697 0.8× 747 0.9× 137 4.9k
Peter A. van Dam Belgium 49 2.8k 1.1× 3.6k 1.5× 2.5k 1.4× 737 0.8× 1.0k 1.2× 186 7.2k
William Greenhalf United Kingdom 36 2.1k 0.8× 3.0k 1.3× 1.5k 0.9× 1.3k 1.4× 522 0.6× 110 5.2k
Julie E. Bauman United States 36 2.6k 1.0× 2.7k 1.1× 1.2k 0.7× 1.2k 1.3× 1.6k 2.0× 140 6.6k
Yongxi Song China 45 2.7k 1.0× 2.2k 0.9× 2.4k 1.4× 1.4k 1.6× 1.3k 1.6× 172 6.0k

Countries citing papers authored by Sanjun Cai

Since Specialization
Citations

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

Fields of papers citing papers by Sanjun Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanjun Cai

This figure shows the co-authorship network connecting the top 25 collaborators of Sanjun Cai. A scholar is included among the top collaborators of Sanjun Cai 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 Sanjun Cai. Sanjun Cai 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.
Liu, Chenming, et al.. (2025). Machine learning combined with multi-omics to identify immune-related LncRNA signature as biomarkers for predicting breast cancer prognosis. Scientific Reports. 15(1). 23863–23863. 2 indexed citations
4.
Cai, Sanjun, Rui Ding, Hongjun Zhang, et al.. (2024). Self-healing hydrogels loaded with Spatholobi Caulis alleviate disc degeneration by promoting autophagy in nucelus pulposus. Materials Today Bio. 29. 101323–101323. 1 indexed citations
5.
He, Xingfeng, Yan Jiang, Long Zhang, et al.. (2023). Patient-derived organoids as a platform for drug screening in metastatic colorectal cancer. Frontiers in Bioengineering and Biotechnology. 11. 1190637–1190637. 29 indexed citations
6.
Fu, Guoxiang, Liping Liang, Xiaomeng Li, et al.. (2020). SIRT1 inhibitors mitigate radiation-induced GI syndrome by enhancing intestinal-stem-cell survival. Cancer Letters. 501. 20–30. 32 indexed citations
7.
Zhang, Sheng, Cheng Kong, Yongzhi Yang, et al.. (2020). Human oral microbiome dysbiosis as a novel non-invasive biomarker in detection of colorectal cancer. Theranostics. 10(25). 11595–11606. 72 indexed citations
8.
Zhao, Senlin, Yushuai Mi, Bingjie Guan, et al.. (2020). Tumor-derived exosomal miR-934 induces macrophage M2 polarization to promote liver metastasis of colorectal cancer. Journal of Hematology & Oncology. 13(1). 156–156. 563 indexed citations breakdown →
10.
Liu, Qi, Dakui Luo, S. Zhang, et al.. (2019). Survival benefit of adjuvant chemotherapy for patients with poorly differentiated stage IIA colon cancer. Journal of Cancer. 10(5). 1209–1215. 12 indexed citations
11.
Hu, Xiang, Yaqi Li, Xiaoji Ma, et al.. (2019). A Risk Signature With Inflammatory and T Immune Cells Infiltration in Colorectal Cancer Predicting Distant Metastases and Efficiency of Chemotherapy. Frontiers in Oncology. 9. 704–704. 11 indexed citations
12.
Zhang, S., Yongzhi Yang, Wenhao Weng, et al.. (2019). Fusobacterium nucleatum promotes chemoresistance to 5-fluorouracil by upregulation of BIRC3 expression in colorectal cancer. Journal of Experimental & Clinical Cancer Research. 38(1). 14–14. 237 indexed citations
13.
Liu, Fangqi, Jiang Zhao, Cong Li, et al.. (2019). The unique prognostic characteristics of tumor deposits in colorectal cancer patients. Annals of Translational Medicine. 7(23). 769–769. 36 indexed citations
14.
Feng, Yang, Yaqi Li, Dan Huang, Sanjun Cai, & Junjie Peng. (2018). HER2 as a potential biomarker guiding adjuvant chemotherapy in stage II colorectal cancer. European Journal of Surgical Oncology. 45(2). 167–173. 12 indexed citations
15.
Feng, Yang, Yaqi Li, Weixing Dai, et al.. (2018). Clinicopathologic Features and Prognostic Factors in Alpha-Fetoprotein-Producing Colorectal Cancer: Analysis of 78 Cases. Cellular Physiology and Biochemistry. 51(5). 2052–2064. 14 indexed citations
16.
Weng, Wenhao, Qing Wei, Shusuke Toden, et al.. (2017). Circular RNA ciRS-7—A Promising Prognostic Biomarker and a Potential Therapeutic Target in Colorectal Cancer. Clinical Cancer Research. 23(14). 3918–3928. 397 indexed citations breakdown →
17.
Li, Yaqi, Wencheng Yu, Weixing Dai, Qingguo Li, & Sanjun Cai. (2016). [Can the weekday of surgery influence the prognosis of colorectal cancer patients? A retrospective study based on a single-center of large sample].. PubMed. 19(10). 1129–1132. 1 indexed citations
18.
Qiu, Yunping, Guoxiang Cai, Bingsen Zhou, et al.. (2014). A Distinct Metabolic Signature of Human Colorectal Cancer with Prognostic Potential. Clinical Cancer Research. 20(8). 2136–2146. 142 indexed citations
19.
Xu, Ye, Qinghua Xu, Yang Li, et al.. (2013). Identification and Validation of a Blood-Based 18-Gene Expression Signature in Colorectal Cancer. Clinical Cancer Research. 19(11). 3039–3049. 18 indexed citations
20.
Peng, Junjie, Xinxiang Li, Ying Ding, et al.. (2013). Is adjuvant radiotherapy warranted in resected pT1-2 node-positive rectal cancer?. Radiation Oncology. 8(1). 290–290. 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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