Angel Qin

2.7k total citations
33 papers, 561 citations indexed

About

Angel Qin is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Angel Qin has authored 33 papers receiving a total of 561 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Oncology, 19 papers in Pulmonary and Respiratory Medicine and 8 papers in Molecular Biology. Recurrent topics in Angel Qin's work include Lung Cancer Treatments and Mutations (14 papers), Cancer Immunotherapy and Biomarkers (13 papers) and Lung Cancer Diagnosis and Treatment (8 papers). Angel Qin is often cited by papers focused on Lung Cancer Treatments and Mutations (14 papers), Cancer Immunotherapy and Biomarkers (13 papers) and Lung Cancer Diagnosis and Treatment (8 papers). Angel Qin collaborates with scholars based in United States, India and China. Angel Qin's co-authors include Shirish M. Gadgeel, K. Nathan Sankar, Nithya Ramnath, Lili Zhao, Edus H. Warren, David G. Coffey, Cheryl L. Thompson, Gregory P. Kalemkerian, Paula Silverman and Ebrahim Azizi and has published in prestigious journals such as Journal of Clinical Oncology, Diabetes Care and Cancer Research.

In The Last Decade

Angel Qin

30 papers receiving 556 citations

Peers

Angel Qin
Andrew Elliott United States
Laura July Canada
Emily K. Slotkin United States
Lingzhi Hong United States
Angel Qin
Citations per year, relative to Angel Qin Angel Qin (= 1×) peers Yutaka Shio

Countries citing papers authored by Angel Qin

Since Specialization
Citations

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

Fields of papers citing papers by Angel Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Angel Qin

This figure shows the co-authorship network connecting the top 25 collaborators of Angel Qin. A scholar is included among the top collaborators of Angel Qin 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 Angel Qin. Angel Qin 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.
Edwards, Donna M., Caitlin A. Schonewolf, John D. Rice, et al.. (2024). Phase 2 Trial Assessing Toxicity of Personalized Response-Based Radiation Treatment in Patients With Locally Advanced Non-Small Cell Lung Cancer. International Journal of Radiation Oncology*Biology*Physics. 120(5). 1332–1343.
2.
Singh, Navneet, Nofisat Ismaila, Mara B. Antonoff, et al.. (2024). Management of Stage III Non–Small Cell Lung Cancer: ASCO Guideline Rapid Recommendation Update. Journal of Clinical Oncology. 42(25). 3058–3060. 9 indexed citations
3.
Zhang, Yu, Xiaotian Tan, Yuru Chen, et al.. (2024). Antigen-independent single-cell circulating tumor cell detection using deep-learning-assisted biolasers. Biosensors and Bioelectronics. 271. 116984–116984. 2 indexed citations
5.
Chen, Yuru, Shamileh Fouladdel, Harrison Ball, et al.. (2023). Abstract 5592: Expansion and characterization on ALK positive NSCLC circulating tumor cells isolated using a size based inertial microfluidic Labyrinth device. Cancer Research. 83(7_Supplement). 5592–5592. 1 indexed citations
6.
Chen, Xuan, Alison H. Affinati, Adina F. Turcu, et al.. (2022). Immune Checkpoint Inhibitors and Risk of Type 1 Diabetes. Diabetes Care. 45(5). 1170–1176. 53 indexed citations
7.
Coffey, David G., Yuexin Xu, Andrea Towlerton, et al.. (2022). Case report: A persistently expanded T cell response in an exceptional responder to radiation and atezolizumab for metastatic non-small cell lung cancer. Frontiers in Immunology. 13. 961105–961105.
8.
Qin, Angel, Fatima Lima, Samantha L. Bell, et al.. (2022). Cellular engagement and interaction in the tumor microenvironment predict non-response to PD-1/PD-L1 inhibitors in metastatic non-small cell lung cancer. Scientific Reports. 12(1). 9054–9054. 8 indexed citations
9.
Ohri, Nitin, Shruti Jolly, Benjamin T. Cooper, et al.. (2022). The Selective Personalized Radio-immunotherapy for Locally Advanced NSCLC Trial (SPRINT): Initial results.. Journal of Clinical Oncology. 40(16_suppl). 8510–8510. 6 indexed citations
10.
Bryant, Alex K., K. Nathan Sankar, Garth W. Strohbehn, et al.. (2021). Prognostic and predictive value of neutrophil-to-lymphocyte ratio with adjuvant immunotherapy in stage III non-small-cell lung cancer. Lung Cancer. 163. 35–41. 22 indexed citations
11.
Sankar, K. Nathan, Shirish M. Gadgeel, & Angel Qin. (2020). Molecular therapeutic targets in non-small cell lung cancer. Expert Review of Anticancer Therapy. 20(8). 647–661. 68 indexed citations
12.
Wang, Yang, Tae Hyun Kim, Shamileh Fouladdel, et al.. (2019). PD-L1 Expression in Circulating Tumor Cells Increases during Radio(chemo)therapy and Indicates Poor Prognosis in Non-small Cell Lung Cancer. Scientific Reports. 9(1). 566–566. 104 indexed citations
13.
Qin, Angel, Lai Wei, Sandip H. Patel, et al.. (2019). P1.01-71 Bone Metastases and Skeletal-Related Events in Patients with Metastatic NSCLC Treated with ICIs: A Multi-Institutional Study. Journal of Thoracic Oncology. 14(10). S387–S387. 1 indexed citations
14.
Qin, Angel, et al.. (2019). Chemotherapy and Radiation Versus Chemotherapy Alone for Elderly Patients With N3 Stage IIIB NSCLC. Clinical Lung Cancer. 20(4). e495–e503. 5 indexed citations
15.
Qin, Angel, Adrienne Johnson, Jeffrey S. Ross, et al.. (2018). Detection of Known and Novel FGFR Fusions in Non–Small Cell Lung Cancer by Comprehensive Genomic Profiling. Journal of Thoracic Oncology. 14(1). 54–62. 65 indexed citations
16.
Qin, Angel, et al.. (2017). Clinical Predictors of Durable Clinical Benefit of Pembrolizumab Therapy in Veterans With Metastatic Non–Small Cell Lung Cancer. International Journal of Radiation Oncology*Biology*Physics. 98(1). 228–228. 1 indexed citations
17.
Qin, Angel, Kemp B. Cease, Benjamin L. Viglianti, et al.. (2017). Clinical Determinants of Durable Clinical Benefit of Pembrolizumab in Veterans With Advanced Non–Small-Cell Lung Cancer. Clinical Lung Cancer. 18(5). 559–564. 12 indexed citations
18.
Qin, Angel & Shirish M. Gadgeel. (2017). The Current Landscape of Anaplastic Lymphoma Kinase (ALK) in Non-Small Cell Lung Cancer: Emerging Treatment Paradigms and Future Directions. Targeted Oncology. 12(6). 709–718. 17 indexed citations
19.
Qin, Angel & Nithya Ramnath. (2016). The “liquid biopsy” in non-small cell lung cancer—not quite ready for prime time use. Translational Cancer Research. 5(S4). S632–S635. 2 indexed citations
20.
Scarzello, Anthony J., Ana L. Romero-Weaver, Stephen G. Maher, et al.. (2007). A Mutation in the SH2 Domain of STAT2 Prolongs Tyrosine Phosphorylation of STAT1 and Promotes Type I IFN-induced Apoptosis. Molecular Biology of the Cell. 18(7). 2455–2462. 26 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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