Yayi He

6.2k total citations · 2 hit papers
139 papers, 3.7k citations indexed

About

Yayi He is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Yayi He has authored 139 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Oncology, 61 papers in Pulmonary and Respiratory Medicine and 31 papers in Molecular Biology. Recurrent topics in Yayi He's work include Lung Cancer Treatments and Mutations (44 papers), Cancer Immunotherapy and Biomarkers (43 papers) and Lung Cancer Research Studies (41 papers). Yayi He is often cited by papers focused on Lung Cancer Treatments and Mutations (44 papers), Cancer Immunotherapy and Biomarkers (43 papers) and Lung Cancer Research Studies (41 papers). Yayi He collaborates with scholars based in China, United States and Poland. Yayi He's co-authors include Caicun Zhou, Sha Zhao, Peixin Chen, Xuefei Li, Minlin Jiang, Shengxiang Ren, Chao Zhao, Fred R. Hirsch, Hui Yu and Keyi Jia and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Nano Letters.

In The Last Decade

Yayi He

132 papers receiving 3.6k citations

Hit Papers

cGAS-STING, an important pathway in cancer immunotherapy 2020 2026 2022 2024 2020 2021 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yayi He China 31 2.0k 1.2k 1.2k 1.1k 628 139 3.7k
Luana Calabrò Italy 30 2.3k 1.1× 1.4k 1.2× 1.0k 0.9× 1.5k 1.3× 593 0.9× 111 4.4k
Shuang Qin China 23 2.1k 1.0× 1.3k 1.1× 1.4k 1.2× 658 0.6× 489 0.8× 78 3.9k
Diego Chowell United States 16 2.2k 1.1× 877 0.7× 1.4k 1.2× 790 0.7× 583 0.9× 37 3.3k
Salman M. Toor Qatar 23 2.0k 1.0× 1.0k 0.8× 1.5k 1.3× 559 0.5× 429 0.7× 53 3.3k
Changyu Wang China 24 3.1k 1.6× 1.1k 0.9× 1.9k 1.7× 845 0.7× 383 0.6× 79 4.9k
Daniela Bruni France 11 2.7k 1.4× 1.2k 1.0× 2.2k 1.9× 944 0.8× 716 1.1× 13 4.4k
Elizabeth I. Buchbinder United States 23 2.9k 1.4× 967 0.8× 1.6k 1.4× 729 0.6× 312 0.5× 105 4.0k
Lee D. Cranmer United States 30 1.9k 0.9× 1.1k 0.9× 822 0.7× 869 0.8× 333 0.5× 127 3.3k
Stanley K. Liu Canada 35 914 0.5× 1.7k 1.4× 1.0k 0.9× 821 0.7× 810 1.3× 135 4.1k
Hong Jae Chon South Korea 31 1.7k 0.8× 665 0.5× 849 0.7× 847 0.7× 373 0.6× 127 3.0k

Countries citing papers authored by Yayi He

Since Specialization
Citations

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

Fields of papers citing papers by Yayi He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yayi He

This figure shows the co-authorship network connecting the top 25 collaborators of Yayi He. A scholar is included among the top collaborators of Yayi He 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 Yayi He. Yayi He 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.
Nyflot, Matthew J., Stephen R. Bowen, Yayi He, et al.. (2024). Survival Prediction with Albumin-Bilirubin (ALBI) Changes in Hepatocellular Carcinoma Patients Treated with External Beam Radiotherapy (EBRT). International Journal of Radiation Oncology*Biology*Physics. 120(2). S144–S145.
3.
Kong, Yan, You‐Wen Qian, Haoyue Guo, et al.. (2024). Spatial heterogeneity of infiltrating immune cells in the tumor microenvironment of non-small cell lung cancer. Translational Oncology. 50. 102143–102143. 4 indexed citations
4.
Zhang, Wengang, Xinyu Zhang, Xinyue Liu, et al.. (2024). What is the optimal first-line regimen for advanced non-small cell lung cancer patients with epidermal growth factor receptor mutation: a systematic review and network meta-analysis. BMC Pulmonary Medicine. 24(1). 620–620. 2 indexed citations
5.
Chen, Peixin, Chenglong Sun, Hao Wang, et al.. (2023). YAP1 expression is associated with survival and immunosuppression in small cell lung cancer. Cell Death and Disease. 14(9). 636–636. 17 indexed citations
6.
Zhao, Lishu, et al.. (2023). Pyroptosis: A promising target for lung cancer therapy. PubMed. 1(2). 94–101. 3 indexed citations
8.
Ye, Lingyun, Yan Huang, Fei Zhou, et al.. (2022). Characteristics of Notch signaling pathway and its correlation with immune microenvironment in SCLC. Lung Cancer. 167. 25–33. 18 indexed citations
9.
Wang, Hao, Haoyue Guo, Chenglong Sun, et al.. (2021). Single-Cell Sequencing, an Advanced Technology in Lung Cancer Research. OncoTargets and Therapy. Volume 14. 1895–1909. 10 indexed citations
10.
Jiang, Minlin, Keyi Jia, Lei Wang, et al.. (2021). Alterations of DNA damage response pathway: Biomarker and therapeutic strategy for cancer immunotherapy. Acta Pharmaceutica Sinica B. 11(10). 2983–2994. 203 indexed citations breakdown →
11.
Song, Nan, Yang Li, Hao Wang, et al.. (2021). Radial endobronchial ultrasound-assisted transbronchial needle aspiration for pulmonary peripheral lesions in the segmental bronchi adjacent to the central airway. Translational Lung Cancer Research. 10(6). 2625–2632. 3 indexed citations
12.
Chen, Peixin, Liping Zhang, Wei Zhang, et al.. (2020). Galectin-9-based immune risk score model helps to predict relapse in stage I–III small cell lung cancer. Journal for ImmunoTherapy of Cancer. 8(2). e001391–e001391. 24 indexed citations
13.
Li, Wěi, Hao Wang, Bin Chen, et al.. (2020). Anti PD-1 monoclonal antibody induced autoimmune diabetes mellitus: a case report and brief review. Translational Lung Cancer Research. 9(2). 379–388. 6 indexed citations
14.
Guo, Haoyue, Yayi He, Peixin Chen, et al.. (2020). Combinational immunotherapy based on immune checkpoints inhibitors in small cell lung cancer: is this the beginning to reverse the refractory situation?. Journal of Thoracic Disease. 12(10). 6070–6089. 5 indexed citations
15.
Zhao, Sha, Guanghui Gao, Wei Li, et al.. (2019). Antibiotics are associated with attenuated efficacy of anti-PD-1/PD-L1 therapies in Chinese patients with advanced non-small cell lung cancer. Lung Cancer. 130. 10–17. 121 indexed citations
16.
Mao, Shiqi, Yanbiao Liu, Fei Zhou, et al.. (2019). P1.01-62 Association of Baseline Pulmonary Fibrosis with the Outcome of PD-1 Inhibitor in Patients with Advanced Non-Small Cell Lung Cancer. Journal of Thoracic Oncology. 14(10). S383–S383. 1 indexed citations
17.
He, Yayi, Keyi Jia, Rafał Dziadziuszko, et al.. (2019). Galectin-9 in non-small cell lung cancer. Lung Cancer. 136. 80–85. 36 indexed citations
18.
Zhao, Sha, Xuefei Li, Chao Zhao, et al.. (2018). Loss of T790M mutation is associated with early progression to osimertinib in Chinese patients with advanced NSCLC who are harboring EGFR T790M. Lung Cancer. 128. 33–39. 34 indexed citations
19.
He, Yayi, C. Zhou, & W. Hirsch. (2018). P2.11-08 Tumor Autoantibody Panel Can Improve the Accuracy of Early Diagnosis in Lung Cancer Presenting with GGNs /Solid Nodules. Journal of Thoracic Oncology. 13(10). S781–S782. 1 indexed citations
20.
Yu, Hui, Yayi He, Christopher J. Rivard, et al.. (2016). PS01.20: Immune Checkpoints Expression in Small Cell Lung Cancer Lines. Journal of Thoracic Oncology. 11(11). S281–S281. 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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