Zhiwei Zhou

7.8k total citations · 1 hit paper
165 papers, 3.5k citations indexed

About

Zhiwei Zhou is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Oncology. According to data from OpenAlex, Zhiwei Zhou has authored 165 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 109 papers in Pulmonary and Respiratory Medicine, 68 papers in Surgery and 51 papers in Oncology. Recurrent topics in Zhiwei Zhou's work include Gastric Cancer Management and Outcomes (98 papers), Metastasis and carcinoma case studies (51 papers) and Gastrointestinal Tumor Research and Treatment (41 papers). Zhiwei Zhou is often cited by papers focused on Gastric Cancer Management and Outcomes (98 papers), Metastasis and carcinoma case studies (51 papers) and Gastrointestinal Tumor Research and Treatment (41 papers). Zhiwei Zhou collaborates with scholars based in China, United States and Australia. Zhiwei Zhou's co-authors include Yuming Jiang, Guoxin Li, Xiaowei Sun, Yuanfang Li, Wei Wang, Jiang Yu, Xingyu Feng, Yanfeng Hu, Haibo Qiu and Xuechao Liu and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Zhiwei Zhou

154 papers receiving 3.5k citations

Hit Papers

ImmunoScore Signature 2016 2026 2019 2022 2016 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhiwei Zhou China 33 2.0k 1.3k 1.1k 642 624 165 3.5k
Daisuke Kobayashi Japan 35 1.8k 0.9× 1.3k 0.9× 1.4k 1.2× 490 0.8× 183 0.3× 174 3.7k
Goro Nakayama Japan 39 1.7k 0.9× 2.0k 1.5× 1.6k 1.4× 348 0.5× 222 0.4× 217 4.5k
Tomoki Makino Japan 37 1.8k 0.9× 1.3k 1.0× 2.2k 2.0× 378 0.6× 149 0.2× 269 3.9k
Masafumi Inomata Japan 32 2.8k 1.5× 2.0k 1.5× 2.3k 2.0× 1.3k 1.9× 223 0.4× 323 5.2k
Yoshifumi Shimada Japan 31 1.2k 0.6× 1.5k 1.1× 1.1k 1.0× 198 0.3× 248 0.4× 187 3.1k
Hiroshi Kawachi Japan 34 1.0k 0.5× 1.2k 0.9× 1.0k 0.9× 205 0.3× 207 0.3× 157 3.2k
Boris Sepesi United States 33 2.3k 1.2× 1.4k 1.0× 1.3k 1.2× 136 0.2× 522 0.8× 187 3.7k
Masahiko Koike Japan 40 1.9k 1.0× 2.1k 1.6× 1.9k 1.7× 431 0.7× 238 0.4× 234 5.4k
Hiroshi Okabe Japan 34 1.7k 0.9× 840 0.6× 1.4k 1.2× 657 1.0× 93 0.1× 113 3.6k
Yoshiro Saikawa Japan 32 1.6k 0.8× 897 0.7× 1.2k 1.1× 698 1.1× 89 0.1× 139 3.1k

Countries citing papers authored by Zhiwei Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Zhiwei Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhiwei Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Zhiwei Zhou. A scholar is included among the top collaborators of Zhiwei Zhou 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 Zhiwei Zhou. Zhiwei Zhou 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.
Qiu, Miao‐Zhen, Qingjian Chen, Qi Zhao, et al.. (2023). Precise microdissection of gastric mixed adeno-neuroendocrine carcinoma dissects its genomic landscape and evolutionary clonal origins. Cell Reports. 42(6). 112576–112576. 3 indexed citations
3.
Li, Yuanfang, Shuqiang Yuan, Ying-Bo Chen, et al.. (2023). Evaluating relapse-free survival as an endpoint for overall survival in adjuvant immunotherapy trials. JNCI Journal of the National Cancer Institute. 115(9). 1085–1091. 7 indexed citations
5.
Yuan, Shuqiang, Run‐Cong Nie, Yingbo Chen, et al.. (2023). Residual circulating tumor DNA after adjuvant chemotherapy effectively predicts recurrence of stage II‐III gastric cancer. Cancer Communications. 43(12). 1312–1325. 13 indexed citations
6.
Zhou, Zhiwei, Yulan Jin, Yu Fu, et al.. (2023). Carcass characteristics and meat quality attributes of cattleyak in Tibet Plateau. SHILAP Revista de lepidopterología. 1(3). 9240027–9240027. 2 indexed citations
8.
Chen, Guoming, Hui Xie, Rong Zhang, et al.. (2023). Preoperative diagnosis of metastatic lymph nodes by CT-histopathologic matching analysis in gastric adenocarcinoma using dual-layer spectral detector CT. European Radiology. 33(12). 8948–8956. 9 indexed citations
9.
10.
Tu, Ru‐Hong, Jian‐Xian Lin, Wei Wang, et al.. (2020). Prognostic value of a new staging system based on the retrieved number and metastatic rate of LNs in gastric cancer with ≤15 retrieved LNs. European Journal of Surgical Oncology. 46(12). 2221–2228. 3 indexed citations
11.
Lin, Jian‐Xian, Wei Wang, Jian‐Wei Xie, et al.. (2019). Development and validation of a new staging system for node‐negative gastric cancer based on recursive partitioning analysis: An international multi‐institutional study. Cancer Medicine. 8(6). 2962–2970. 6 indexed citations
12.
Lin, Jian‐Xian, Wei Wang, Jacopo Desiderio, et al.. (2019). Risk factors of lymph node metastasis or lymphovascular invasion for early gastric cancer: a practical and effective predictive model based on international multicenter data. BMC Cancer. 19(1). 1048–1048. 20 indexed citations
14.
Liu, Xuechao, Haibo Qiu, Zhiming Wu, et al.. (2018). A Novel Pathological Prognostic Score (PPS) to Identify “Very High-Risk” Patients: a Multicenter Retrospective Analysis of 506 Patients with High Risk Gastrointestinal Stromal Tumor (GIST). Journal of Gastrointestinal Surgery. 22(12). 2150–2157. 10 indexed citations
15.
Zhang, Yujing, et al.. (2018). A dose-effect analysis of organs at risk during preoperative chemoradiotherapy for gastric cancer. Zhonghua fangshe zhongliuxue zazhi. 27(3). 271–276. 1 indexed citations
16.
Zhang, Xuehong, Xuehong Zhang, Zhiwei Zhou, et al.. (2017). The combination of digoxin and GSK2606414 exerts synergistic anticancer activity against leukemia in vitro and in vivo. BioFactors. 43(6). 812–820. 18 indexed citations
17.
Liu, Jianjun, Qirong Geng, Zhimin Liu, et al.. (2016). Development and external validation of a prognostic nomogram for gastric cancer using the national cancer registry. Oncotarget. 7(24). 35853–35864. 38 indexed citations
18.
Wang, Wei, Zhe Sun, Jingyu Deng, et al.. (2016). [Integration and analysis of associated data in surgical treatment of gastric cancer based on multicenter, high volume databases].. PubMed. 19(2). 179–85. 9 indexed citations
19.
Zhou, Shu‐Feng, Yi Zhang, Zhiwei Zhou, et al.. (2015). Schisandrin B inhibits cell growth and induces cellular apoptosis and autophagy in mouse hepatocytes and macrophages: implications for its hepatotoxicity. Drug Design Development and Therapy. 9. 2001–2001. 23 indexed citations
20.
Xie, Zijun, Xiaoyu Yin, Bo Gong, et al.. (2014). Salivary microRNAs Show Potential as a Noninvasive Biomarker for Detecting Resectable Pancreatic Cancer. Cancer Prevention Research. 8(2). 165–173. 107 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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