Guangyu Bai

877 total citations
33 papers, 401 citations indexed

About

Guangyu Bai is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Surgery. According to data from OpenAlex, Guangyu Bai has authored 33 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Pulmonary and Respiratory Medicine, 19 papers in Oncology and 9 papers in Surgery. Recurrent topics in Guangyu Bai's work include Lung Cancer Treatments and Mutations (14 papers), Lung Cancer Diagnosis and Treatment (13 papers) and Cancer Immunotherapy and Biomarkers (12 papers). Guangyu Bai is often cited by papers focused on Lung Cancer Treatments and Mutations (14 papers), Lung Cancer Diagnosis and Treatment (13 papers) and Cancer Immunotherapy and Biomarkers (12 papers). Guangyu Bai collaborates with scholars based in China, United States and Italy. Guangyu Bai's co-authors include Shugeng Gao, Fenglong Bie, Yue Peng, Bolun Zhou, Peng Song, Moyan Zhang, Ruochuan Zang, Zhenlin Yang, Qilin Huai and Wei Guo and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Guangyu Bai

30 papers receiving 398 citations

Peers

Guangyu Bai
Hyeong Chan Shin South Korea
Fiona Hand Ireland
Yushen Wu China
George A. Crabill United States
Hyeong Chan Shin South Korea
Guangyu Bai
Citations per year, relative to Guangyu Bai Guangyu Bai (= 1×) peers Hyeong Chan Shin

Countries citing papers authored by Guangyu Bai

Since Specialization
Citations

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

Fields of papers citing papers by Guangyu Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangyu Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Guangyu Bai. A scholar is included among the top collaborators of Guangyu Bai 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 Guangyu Bai. Guangyu Bai 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.
Tian, He, Junhui Yang, Ying Chen, et al.. (2024). Integrated molecular characterization reveals the pathogenesis and therapeutic strategies of pulmonary blastoma. SHILAP Revista de lepidopterología. 5(1). 82–92.
2.
Liu, Yang, Fenglong Bie, Guangyu Bai, et al.. (2024). Prognostic model based on B cell marker genes for NSCLC patients under neoadjuvant immunotherapy by integrated analysis of single-cell and bulk RNA-sequencing data. Clinical & Translational Oncology. 26(8). 2025–2036. 1 indexed citations
3.
Bai, Guangyu, Peng Yue, Ying Ji, et al.. (2024). Surgery challenges and postoperative complications of lung cancer after neoadjuvant immunotherapy. Thoracic Cancer. 15(14). 1138–1148. 3 indexed citations
4.
Yang, Zhenlin, He Tian, Bozhao Li, et al.. (2024). Single-cell sequencing reveals immune features of treatment response to neoadjuvant immunochemotherapy in esophageal squamous cell carcinoma. Nature Communications. 15(1). 9097–9097. 25 indexed citations
5.
Bie, Fenglong, Guangyu Bai, Xiaobing Wang, et al.. (2024). Minimal residual disease profiling predicts pathological complete response in esophageal squamous cell carcinoma. Molecular Cancer. 23(1). 96–96. 7 indexed citations
6.
Zhao, Qing, Bin Qiu, Guangyu Bai, et al.. (2024). Establishment of a survival predictive model for patients with two synchronous multiple primary lung cancers: a multicenter cohort analysis. Translational Lung Cancer Research. 13(9). 2254–2268.
7.
Zhou, Bolun, Ruochuan Zang, Peng Song, et al.. (2023). Association between radiotherapy and risk of second primary malignancies in patients with resectable lung cancer: a population-based study. Journal of Translational Medicine. 21(1). 10–10. 13 indexed citations
8.
Chen, Xiaowei, Guangyu Bai, Ruochuan Zang, et al.. (2023). Utility of 18F-FDG uptake in predicting major pathological response to neoadjuvant immunotherapy in patients with resectable non‑small cell lung cancer. Translational Oncology. 35. 101725–101725. 6 indexed citations
9.
Wang, Yalong, Zhenlin Yang, Ping Chen, et al.. (2023). Genetic trajectory and clonal evolution of multiple primary lung cancer with lymph node metastasis. Cancer Gene Therapy. 2 indexed citations
10.
Bai, Guangyu, Zhenlin Yang, Ping Chen, et al.. (2023). Multiple primary lung cancer: Updates of clinical management and genomic features. Frontiers in Oncology. 13. 1034752–1034752. 11 indexed citations
11.
Zhou, Bolun, Ruochuan Zang, Moyan Zhang, et al.. (2022). Worldwide burden and epidemiological trends of tracheal, bronchus, and lung cancer: A population-based study. EBioMedicine. 78. 103951–103951. 50 indexed citations
12.
Zhou, Bolun, Fenglong Bie, Ruochuan Zang, et al.. (2022). RNA modification writer expression profiles predict clinical outcomes and guide neoadjuvant immunotherapy in non-small cell lung cancer. EBioMedicine. 84. 104268–104268. 30 indexed citations
13.
Zhou, Bolun, Ruochuan Zang, Moyan Zhang, et al.. (2022). Identifying novel tumor-related antigens and immune phenotypes for developing mRNA vaccines in lung adenocarcinoma. International Immunopharmacology. 109. 108816–108816. 6 indexed citations
14.
Zhao, Liang, et al.. (2022). Consolidation Tumor Ratio Combined With Pathological Features Could Predict Status of Lymph Nodes of Early-Stage Lung Adenocarcinoma. Frontiers in Oncology. 11. 749643–749643. 5 indexed citations
15.
Chu, Xiao, He Tian, Yujia Zheng, et al.. (2022). Glycolysis in tumor microenvironment as a target to improve cancer immunotherapy. Frontiers in Cell and Developmental Biology. 10. 1013885–1013885. 24 indexed citations
16.
Bie, Fenglong, Nan Sun, Ruochuan Zang, et al.. (2022). Research Progress of Anti-PD-1/PD-L1 Immunotherapy Related Mechanisms and Predictive Biomarkers in NSCLC. Frontiers in Oncology. 12. 769124–769124. 26 indexed citations
17.
Yang, Zhenlin, Yue Peng, Jiachen Xu, et al.. (2022). PVR/TIGIT and PD-L1/PD-1 expression predicts survival and enlightens combined immunotherapy in lung squamous cell carcinoma. Translational Oncology. 24. 101501–101501. 16 indexed citations
18.
Bie, Fenglong, Nan Sun, Ruochuan Zang, et al.. (2021). Comprehensive analysis of PD-L1 expression, tumor-infiltrating lymphocytes, and tumor microenvironment in LUAD: differences between Asians and Caucasians. Clinical Epigenetics. 13(1). 229–229. 11 indexed citations
19.
Tan, Fengwei, Qi Xue, Lei Liu, et al.. (2021). Clinicopathological characteristics and prognostic factors of primary pulmonary lymphoma. Journal of Thoracic Disease. 13(2). 1106–1117. 12 indexed citations
20.
Qiu, Bin, Fan Zhang, Guangyu Bai, et al.. (2021). Outcomes and experience of anatomical partial lobectomy. Journal of Thoracic and Cardiovascular Surgery. 164(3). 637–647.e1. 6 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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