Sanjun Cai

1.2k total citations · 1 hit paper
8 papers, 960 citations indexed

About

Sanjun Cai is a scholar working on Surgery, Molecular Biology and Cancer Research. According to data from OpenAlex, Sanjun Cai has authored 8 papers receiving a total of 960 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Surgery, 3 papers in Molecular Biology and 2 papers in Cancer Research. Recurrent topics in Sanjun Cai's work include Metabolism, Diabetes, and Cancer (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Sarcoma Diagnosis and Treatment (1 paper). Sanjun Cai is often cited by papers focused on Metabolism, Diabetes, and Cancer (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Sarcoma Diagnosis and Treatment (1 paper). Sanjun Cai collaborates with scholars based in China, United States and Japan. Sanjun Cai's co-authors include Junjie Peng, Renyuan Gao, Ajay Goel, Yuji Toiyama, Wenhao Weng, Cheng Pan, Mingming Yin, Qingchao Zhu, Lei Yang and Ping Wang and has published in prestigious journals such as Gastroenterology, BioMed Research International and Cell Death and Disease.

In The Last Decade

Sanjun Cai

8 papers receiving 952 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.

Fusobacterium nucleatum Increases Proliferation of Colorectal Cancer Cells and Tumor Development in Mice by Activating Toll-Like Receptor 4 Signaling to Nuclear Factor−κB, and Up-regulating Expression of MicroRNA-21

2016 761 citations Yongzhi Yang, Wenhao Weng et al. Gastroenterology profile →

Peers

Sanjun Cai

MB

ONCOL

CR

SURGE

ID

Amanda Hermann Israel

Yifeng Lin China

Christoph K. Stein‐Thoeringer Germany

Michail Schizas United States

Dongju Feng China

Carlos Alberto de Carvalho Fraga Brazil

Heping Zhao China

Isabella Dotti Spain

Hong Mu United States

Nobumi Suzuki Japan

Amanda Hermann Israel

Sanjun Cai

533 ×0.8

MB

313 ×1.1

ONCOL

78 ×0.4

CR

86 ×0.6

SURGE

99 ×0.9

ID

Citations per year, relative to Sanjun Cai Sanjun Cai (= 1×) peers Amanda Hermann

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

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8 of 8 papers shown

1.

Zheng, Hongtu, Yuchen Wu, Tianan Guo, et al.. (2020). Hypoxia Induces Growth Differentiation Factor 15 to Promote the Metastasis of Colorectal Cancer via PERK‐eIF2α Signaling. BioMed Research International. 2020(1). 5958272–5958272. 23 indexed citations

2.

Mo, Shaobo, Long Zhang, Weixing Dai, et al.. (2020). Antisense lncRNA LDLRAD4-AS1 promotes metastasis by decreasing the expression of LDLRAD4 and predicts a poor prognosis in colorectal cancer. Cell Death and Disease. 11(2). 155–155. 60 indexed citations

3.

Sun, Yiqun, Qin Xiao, Caixia Fu, et al.. (2018). Diffusion kurtosis imaging in the characterisation of rectal cancer: utilizing the most repeatable region-of-interest strategy for diffusion parameters on a 3T scanner. European Radiology. 28(12). 5211–5220. 20 indexed citations

4.

Li, Qingguo, Yaqi Li, Lei Liang, et al.. (2018). Klotho negatively regulated aerobic glycolysis in colorectal cancer via ERK/HIF1α axis. Cell Communication and Signaling. 16(1). 26–26. 25 indexed citations

5.

Li, Qingguo, Yi Qin, Ping Wei, et al.. (2016). Gas1 Inhibits Metastatic and Metabolic Phenotypes in Colorectal Carcinoma. Molecular Cancer Research. 14(9). 830–840. 50 indexed citations

6.

Yang, Yongzhi, Wenhao Weng, Junjie Peng, et al.. (2016). Fusobacterium nucleatum Increases Proliferation of Colorectal Cancer Cells and Tumor Development in Mice by Activating Toll-Like Receptor 4 Signaling to Nuclear Factor−κB, and Up-regulating Expression of MicroRNA-21. Gastroenterology. 152(4). 851–866.e24. 761 indexed citations breakdown →

7.

Xiao, Changchun, S. Zhang, Lijing Huang, et al.. (2013). Clinicopathological Features and Prognostic Factors of Rectal Gastrointestinal Stromal Tumors. Journal of Gastrointestinal Surgery. 17(4). 793–798. 20 indexed citations

8.

Harbaugh, Calista M., Shaza N. Al‐Holou, Joseph D. Drews, et al.. (2012). A Statewide, Community-Based Assessment of Alvimopan's Effect on Surgical Outcomes. Journal of Surgical Research. 172(2). 192–192. 1 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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