Genhao Zhang

452 total citations · 1 hit paper
19 papers, 273 citations indexed

About

Genhao Zhang is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Immunology. According to data from OpenAlex, Genhao Zhang has authored 19 papers receiving a total of 273 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Pulmonary and Respiratory Medicine, 9 papers in Oncology and 8 papers in Immunology. Recurrent topics in Genhao Zhang's work include Ferroptosis and cancer prognosis (10 papers), Cancer Immunotherapy and Biomarkers (5 papers) and Neonatal and Maternal Infections (5 papers). Genhao Zhang is often cited by papers focused on Ferroptosis and cancer prognosis (10 papers), Cancer Immunotherapy and Biomarkers (5 papers) and Neonatal and Maternal Infections (5 papers). Genhao Zhang collaborates with scholars based in China. Genhao Zhang's co-authors include Jianping Sun, Xianwei Zhang, Xiangdong Kong, Xianping Lv, Qiankun Yang, Hongchun Liu, Kai Zhang, Yang Yang, Shengyang Chen and Yanteng Zhao and has published in prestigious journals such as Scientific Reports, Frontiers in Immunology and BMC Cancer.

In The Last Decade

Genhao Zhang

17 papers receiving 272 citations

Hit Papers

A novel Cuproptosis-related LncRNA signature to predict p... 2022 2026 2023 2024 2022 40 80 120
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.

  1. A novel Cuproptosis-related LncRNA signature to predict prognosis in hepatocellular carcinoma
    2022 129 citations Genhao Zhang, Jianping Sun et al. Scientific Reports profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Genhao Zhang China 9 147 144 141 64 47 19 273
Beige Zong China 10 167 1.1× 119 0.8× 66 0.5× 125 2.0× 35 0.7× 15 321
Hailing Jin United States 10 183 1.2× 100 0.7× 118 0.8× 103 1.6× 26 0.6× 11 340
Ouxuan Liu China 11 151 1.0× 91 0.6× 70 0.5× 66 1.0× 30 0.6× 19 246
Xianguo Zhou China 10 241 1.6× 159 1.1× 93 0.7× 49 0.8× 22 0.5× 22 345
Shrijal S. Shah United States 7 235 1.6× 80 0.6× 113 0.8× 48 0.8× 24 0.5× 7 395
Li Yuan China 8 139 0.9× 83 0.6× 82 0.6× 58 0.9× 50 1.1× 13 245
Susanna Aussó Spain 8 134 0.9× 93 0.6× 98 0.7× 90 1.4× 24 0.5× 11 275
Melinda Garcia United States 4 166 1.1× 86 0.6× 94 0.7× 55 0.9× 22 0.5× 5 239
Chengcheng Shi China 8 168 1.1× 56 0.4× 75 0.5× 93 1.5× 24 0.5× 22 261
Mingyi Ju China 11 301 2.0× 150 1.0× 170 1.2× 143 2.2× 101 2.1× 17 439

Countries citing papers authored by Genhao Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Genhao Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Genhao Zhang

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

All Works

19 of 19 papers shown
1.
2.
Zhang, Genhao & Kai Zhang. (2024). Screening and Identification of Neutrophil Extracellular Trap-related Diagnostic Biomarkers for Pediatric Sepsis by Machine Learning. Inflammation. 48(1). 212–222. 5 indexed citations
3.
Xiao, Yulong & Genhao Zhang. (2024). Predictive Value of a Diagnostic Five-Gene Biomarker for Pediatric Sepsis. Journal of Inflammation Research. Volume 17. 2063–2071. 2 indexed citations
4.
Zhang, Genhao. (2023). Increased PAFAH1B3 was associated with poor prognosis and T-cell exhaustion microenvironment in hepatocellular carcinoma. Discover Oncology. 14(1). 227–227. 1 indexed citations
5.
Chen, Shengyang, et al.. (2023). Telomere-related prognostic biomarkers for survival assessments in pancreatic cancer. Scientific Reports. 13(1). 10586–10586. 15 indexed citations
6.
Zhang, Kai, et al.. (2023). Prognostic Lysosome-Related Biomarkers for Predicting Drug Candidates in Hepatocellular Carcinoma: An Insilco Analysis. Journal of Hepatocellular Carcinoma. Volume 10. 459–472. 1 indexed citations
7.
8.
Yang, Yang & Genhao Zhang. (2023). Lysosome-Related Diagnostic Biomarkers for Pediatric Sepsis Integrated by Machine Learning. Journal of Inflammation Research. Volume 16. 5575–5583. 4 indexed citations
9.
10.
Zhang, Genhao. (2022). Platelet-Related Molecular Subtype to Predict Prognosis in Hepatocellular Carcinoma. Journal of Hepatocellular Carcinoma. Volume 9. 423–436. 8 indexed citations
11.
Zhang, Genhao, Jianping Sun, & Xianwei Zhang. (2022). A novel Cuproptosis-related LncRNA signature to predict prognosis in hepatocellular carcinoma. Scientific Reports. 12(1). 11325–11325. 129 indexed citations breakdown →
12.
Bai, Yong, et al.. (2022). Identification and validation of a novel four-gene diagnostic model for neonatal early-onset sepsis with bacterial infection. European Journal of Pediatrics. 182(3). 977–985. 8 indexed citations
13.
Zhang, Genhao, Xianping Lv, Qiankun Yang, & Hongchun Liu. (2022). Identification of HM13 as a prognostic indicator and a predictive biomarker for immunotherapy in hepatocellular carcinoma. BMC Cancer. 22(1). 888–888. 10 indexed citations
14.
Zhang, Genhao, Kai Zhang, Yanteng Zhao, Qiankun Yang, & Xianping Lv. (2022). A novel stemness-hypoxia-related signature for prognostic stratification and immunotherapy response in hepatocellular carcinoma. BMC Cancer. 22(1). 9 indexed citations
15.
Zhang, Genhao & Jianping Sun. (2022). Endoplasmic Reticulum Stress-Related Signature for Predicting Prognosis and Immune Features in Hepatocellular Carcinoma. Journal of Immunology Research. 2022. 1–18. 5 indexed citations
16.
Zhang, Genhao, et al.. (2021). A Novel Five-Gene Signature for Prognosis Prediction in Hepatocellular Carcinoma. Frontiers in Oncology. 11. 642563–642563. 20 indexed citations
17.
Zhang, Genhao, et al.. (2021). A novel tumor doubling time-related immune gene signature for prognosis prediction in hepatocellular carcinoma. Cancer Cell International. 21(1). 522–522. 7 indexed citations
18.
Zhang, Genhao. (2020). <p>Expression and Prognostic Significance of BANF1 in Triple-Negative Breast Cancer</p>. Cancer Management and Research. Volume 12. 145–150. 17 indexed citations
19.
Zhang, Genhao, et al.. (2020). <p>Prognostic Significance of Pregnancy Zone Protein and Its Correlation with Immune Infiltrates in Hepatocellular Carcinoma</p>. Cancer Management and Research. Volume 12. 9883–9891. 15 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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