Jiangman Zhao

998 total citations
52 papers, 659 citations indexed

About

Jiangman Zhao is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Jiangman Zhao has authored 52 papers receiving a total of 659 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 18 papers in Cancer Research and 12 papers in Oncology. Recurrent topics in Jiangman Zhao's work include Cancer Genomics and Diagnostics (10 papers), Genetic factors in colorectal cancer (8 papers) and Cancer-related molecular mechanisms research (6 papers). Jiangman Zhao is often cited by papers focused on Cancer Genomics and Diagnostics (10 papers), Genetic factors in colorectal cancer (8 papers) and Cancer-related molecular mechanisms research (6 papers). Jiangman Zhao collaborates with scholars based in China, Australia and United States. Jiangman Zhao's co-authors include Shouxin Wu, Hui Tang, Yue Xu, Peng Meng, Zhengmao Lu, Qunxiong Pan, Minglong Zhu, Weijin Wu, Xu Zhang and Fuyou Zhou and has published in prestigious journals such as The Journal of Immunology, Annals of Surgery and Frontiers in Immunology.

In The Last Decade

Jiangman Zhao

50 papers receiving 652 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiangman Zhao China 16 323 190 121 120 102 52 659
Chengyun Xu China 20 472 1.5× 152 0.8× 172 1.4× 103 0.9× 93 0.9× 62 958
Mengmeng Yang China 17 244 0.8× 102 0.5× 110 0.9× 151 1.3× 83 0.8× 59 803
Gang Qin China 16 261 0.8× 148 0.8× 130 1.1× 121 1.0× 61 0.6× 32 685
Qianqian Guo China 15 381 1.2× 174 0.9× 106 0.9× 161 1.3× 61 0.6× 50 793
Weida Wang China 20 485 1.5× 240 1.3× 112 0.9× 240 2.0× 65 0.6× 79 1.1k
Xiaolian Song China 15 176 0.5× 138 0.7× 201 1.7× 136 1.1× 62 0.6× 32 624
Hao Luo China 14 423 1.3× 217 1.1× 83 0.7× 100 0.8× 220 2.2× 76 911
İpek Işık Gönül Türkiye 17 160 0.5× 105 0.6× 201 1.7× 128 1.1× 178 1.7× 83 786
Xianlei Cai China 18 422 1.3× 285 1.5× 179 1.5× 154 1.3× 104 1.0× 33 1.1k
Weijing Gong China 14 314 1.0× 256 1.3× 50 0.4× 109 0.9× 55 0.5× 25 556

Countries citing papers authored by Jiangman Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Jiangman Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiangman Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Jiangman Zhao. A scholar is included among the top collaborators of Jiangman Zhao 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 Jiangman Zhao. Jiangman Zhao 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
1.
Wang, Huan, Lianjun Zhang, Xiaoning Wang, et al.. (2023). Clinical Efficiency of Metagenomic Next-Generation Sequencing in Sputum for Pathogen Detection of Patients with Pneumonia According to Disease Severity and Host Immune Status. Infection and Drug Resistance. Volume 16. 5869–5885. 5 indexed citations
2.
Tian, Hongliang, Chen Ye, Jiangman Zhao, et al.. (2023). Depletion of butyrate-producing microbes of the Firmicutes predicts nonresponse to FMT therapy in patients with recurrent Clostridium difficile infection. Gut Microbes. 15(1). 2236362–2236362. 34 indexed citations
3.
Li, Weili, et al.. (2023). Clinical utility of metagenomic next-generation sequencing in pathogen detection for lower respiratory tract infections and impact on clinical outcomes in southernmost China. Frontiers in Cellular and Infection Microbiology. 13. 1271952–1271952. 9 indexed citations
4.
Wang, Yu, et al.. (2023). Metagenomic next-generation sequencing of bronchoalveolar lavage fluid in non-severe and severe pneumonia patients. Journal of Microbiological Methods. 215. 106848–106848. 4 indexed citations
5.
Xu, Yue, et al.. (2022). Circulating Tumor-Derived Endothelial Cells: An Effective Biomarker for Breast Cancer Screening and Prognosis Prediction. Journal of Oncology. 2022. 1–11. 3 indexed citations
6.
Lu, Hongzhi, Ma Li, Hong Zhang, et al.. (2022). The Comparison of Metagenomic Next-Generation Sequencing with Conventional Microbiological Tests for Identification of Pathogens and Antibiotic Resistance Genes in Infectious Diseases. Infection and Drug Resistance. Volume 15. 6115–6128. 14 indexed citations
7.
Cai, Jun, Huihui Jiang, Shuqing Li, et al.. (2022). The Landscape of Actionable Genomic Alterations by Next-Generation Sequencing in Tumor Tissue Versus Circulating Tumor DNA in Chinese Patients With Non-Small Cell Lung Cancer. Frontiers in Oncology. 11. 751106–751106. 17 indexed citations
8.
Wu, Ningning, Huiyuan Li, Yue Xu, et al.. (2021). Plasma DNA Integrity as a Prognostic Biomarker for Colorectal Cancer Chemotherapy. Journal of Oncology. 2021. 1–10. 7 indexed citations
9.
10.
Yang, Bo, Chen Ye, Di Zhao, et al.. (2021). The Efficacy and Safety of Fecal Microbiota Transplantation Combined With Biofeedback for Mixed Constipation: A Retrospective Cohort Study. Frontiers in Medicine. 8. 746990–746990. 9 indexed citations
11.
Zhang, Yaowen, Haijun Yang, Jian Li, et al.. (2021). Definition and risk factors of early recurrence based on affecting prognosis of esophageal squamous cell carcinoma patients after radical resection. Translational Oncology. 14(6). 101066–101066. 9 indexed citations
12.
Zheng, Kailian, Ying Xu, Yufeng Guo, et al.. (2020). Efficacy and safety of tocilizumab in COVID-19 patients. Aging. 12(19). 18878–18888. 12 indexed citations
13.
Cai, Hui, Changqing Jing, Xusheng Chang, et al.. (2019). Mutational landscape of gastric cancer and clinical application of genomic profiling based on target next-generation sequencing. Journal of Translational Medicine. 17(1). 189–189. 75 indexed citations
14.
Li, Ling, Xiumei Zhang, Shouxin Wu, et al.. (2019). Genetic Profiling of Breast Cancer with and Without Preexisting Metabolic Disease. Translational Oncology. 13(2). 245–253. 7 indexed citations
15.
Luo, Tianhang, Jiangman Zhao, Zhengmao Lu, et al.. (2018). Characterization of long non-coding RNAs and MEF2C-AS1 identified as a novel biomarker in diffuse gastric cancer. Translational Oncology. 11(5). 1080–1089. 27 indexed citations
16.
17.
Zhou, Fuyou, Chen Zhao, Zhikun Ma, et al.. (2016). Gastric cardia adenocarcinoma microRNA profiling in Chinese patients. Tumor Biology. 37(7). 9411–9422. 25 indexed citations
18.
He, Qingqing, Bo Peng, Dayong Zhuang, et al.. (2015). Clinicopathological significance of β -tubulin isotype III gene expression in breast cancer patients. Cancer Biomarkers. 15(6). 823–831. 3 indexed citations
19.
Li, Shaomin, et al.. (2015). Sequencing study on familial lung squamous cancer. Oncology Letters. 10(4). 2634–2638. 7 indexed citations
20.
Lu, Jianguo, Rui Dong, Tao Yang, et al.. (2015). Targeted sequencing of cancer-associated genes in hepatocellular carcinoma using next generation sequencing. Molecular Medicine Reports. 12(3). 4678–4682. 12 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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