Jianchun Duan

3.0k total citations
96 papers, 1.7k citations indexed

About

Jianchun Duan is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Cancer Research. According to data from OpenAlex, Jianchun Duan has authored 96 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Pulmonary and Respiratory Medicine, 67 papers in Oncology and 27 papers in Cancer Research. Recurrent topics in Jianchun Duan's work include Lung Cancer Treatments and Mutations (58 papers), Lung Cancer Research Studies (24 papers) and Cancer Immunotherapy and Biomarkers (23 papers). Jianchun Duan is often cited by papers focused on Lung Cancer Treatments and Mutations (58 papers), Lung Cancer Research Studies (24 papers) and Cancer Immunotherapy and Biomarkers (23 papers). Jianchun Duan collaborates with scholars based in China, United States and Ethiopia. Jianchun Duan's co-authors include Zhijie Wang, Hua Bai, Tongtong An, Jie Wang, Minglei Zhuo, Meina Wu, Shuhang Wang, Yuyan Wang, Jun Zhao and Jie Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Jianchun Duan

89 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jianchun Duan China 23 1.1k 1.0k 673 511 167 96 1.7k
Tongtong An China 23 1.1k 1.0× 912 0.9× 620 0.9× 527 1.0× 90 0.5× 90 1.6k
Ana Giménez‐Capitán Spain 22 879 0.8× 930 0.9× 592 0.9× 954 1.9× 171 1.0× 77 1.9k
Liza C. Villaruz United States 23 1.2k 1.2× 1.3k 1.3× 422 0.6× 675 1.3× 228 1.4× 81 2.0k
Jill Walker United Kingdom 19 945 0.9× 1.3k 1.3× 590 0.9× 326 0.6× 209 1.3× 58 1.7k
Lynne D. Berry United States 17 1.1k 1.0× 940 0.9× 431 0.6× 798 1.6× 88 0.5× 33 1.8k
Luiz H. Araujo Brazil 13 597 0.6× 845 0.8× 391 0.6× 446 0.9× 200 1.2× 69 1.4k
Tsveta Milenkova United Kingdom 15 906 0.9× 1.0k 1.0× 546 0.8× 467 0.9× 67 0.4× 32 1.5k
Tatsuro Fukuhara Japan 19 1.1k 1.1× 1.1k 1.1× 318 0.5× 445 0.9× 127 0.8× 55 1.6k
Débora De Melo Gagliato Brazil 14 528 0.5× 953 0.9× 501 0.7× 426 0.8× 281 1.7× 36 1.5k
Chunyan Wu China 24 992 0.9× 1.0k 1.0× 581 0.9× 606 1.2× 263 1.6× 67 1.9k

Countries citing papers authored by Jianchun Duan

Since Specialization
Citations

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

Fields of papers citing papers by Jianchun Duan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianchun Duan

This figure shows the co-authorship network connecting the top 25 collaborators of Jianchun Duan. A scholar is included among the top collaborators of Jianchun Duan 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 Jianchun Duan. Jianchun Duan 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.
Zhou, Huixia, et al.. (2024). Screening for depression and anxiety in lung cancer patients: A real‐world study using GAD‐7 and HADS. Thoracic Cancer. 15(13). 1041–1049. 5 indexed citations
2.
Wang, Jie, Jianchun Duan, Yuping Sun, et al.. (2024). ARTEMIS-001: Data from a phase 1a/b study of HS-20093 in patients with relapsed small cell lung cancer (SCLC).. Journal of Clinical Oncology. 42(16_suppl). 8093–8093. 10 indexed citations
3.
Shen, Fang‐Fang, Xinyu Wu, Jiang Geng, Wei Guo, & Jianchun Duan. (2024). Prognostic factors for resected invasive mucinous lung adenocarcinoma: a systematic review and meta-analysis. BMC Cancer. 24(1). 1317–1317. 1 indexed citations
4.
5.
Bai, Hua, et al.. (2023). Progress on neoadjuvant immunotherapy in resectable non-small cell lung cancer and potential biomarkers. Frontiers in Oncology. 12. 1099304–1099304. 10 indexed citations
6.
7.
Zhao, Yang, C. Xu, Jing Zhao, et al.. (2022). DNA Damage Response Gene-Based Subtypes Associated With Clinical Outcomes in Early-Stage Lung Adenocarcinoma. Frontiers in Molecular Biosciences. 9. 901829–901829. 3 indexed citations
8.
Zhao, Jie, Hua Bai, Jianchun Duan, et al.. (2021). Therapeutic guidance of tumor mutation burden on immune checkpoint inhibitors in advanced non-small cell lung cancer: a systematic review and comprehensive meta-analysis. SHILAP Revista de lepidopterología. 2(1). 41–49. 3 indexed citations
9.
Yu, Zhou, et al.. (2020). Targeted Treatment of Colon Cancer with Aptamer-Guided Albumin Nanoparticles Loaded with Docetaxel. SHILAP Revista de lepidopterología. 1 indexed citations
10.
Tian, Yanhua, Jiachen Xu, Qian Chu, et al.. (2020). A novel tumor mutational burden estimation model as a predictive and prognostic biomarker in NSCLC patients. BMC Medicine. 18(1). 232–232. 22 indexed citations
11.
Han, Jiefei, Jianchun Duan, Hua Bai, et al.. (2019). TCR Repertoire Diversity of Peripheral PD-1+CD8+ T Cells Predicts Clinical Outcomes after Immunotherapy in Patients with Non–Small Cell Lung Cancer. Cancer Immunology Research. 8(1). 146–154. 177 indexed citations
12.
Li, Ning, Yutao Liu, Jianchun Duan, et al.. (2019). Prognostic significance of molecular characteristics of cerebrospinal fluid for non‐small cell lung cancer patients with leptomeningeal metastasis. Thoracic Cancer. 10(8). 1673–1682. 10 indexed citations
13.
14.
Xu, Qun, et al.. (2018). LncRNA cancer susceptibility candidate 15 accelerates the breast cancer cells progression via miR-153–3p/KLF5 positive feedback loop. Biochemical and Biophysical Research Communications. 506(4). 819–825. 29 indexed citations
15.
Wan, Rui, Zhijie Wang, J. Jack Lee, et al.. (2017). Comprehensive Analysis of the Discordance of EGFR Mutation Status between Tumor Tissues and Matched Circulating Tumor DNA in Advanced Non–Small Cell Lung Cancer. Journal of Thoracic Oncology. 12(9). 1376–1387. 34 indexed citations
16.
Wang, Yuyan, Li Liu, Jia Zhong, et al.. (2015). [Prognostic factors and response of chemotherapy including amrubicin in small cell lung cancer patients].. PubMed. 38(4). 261–6. 1 indexed citations
17.
Wang, Zhijie, Zhenxiang Li, Zhirong Shen, et al.. (2015). ERβ localization influenced outcomes of EGFR-TKI treatment in NSCLC patients with EGFR mutations. Scientific Reports. 5(1). 11392–11392. 18 indexed citations
18.
Bai, Hua, Zhijie Wang, Yuyan Wang, et al.. (2013). Detection and Clinical Significance of Intratumoral EGFR Mutational Heterogeneity in Chinese Patients with Advanced Non-Small Cell Lung Cancer. PLoS ONE. 8(2). e54170–e54170. 83 indexed citations
19.
Huang, Zhen, Zhijie Wang, Hua Bai, et al.. (2012). The detection of EGFR mutation status in plasma is reproducible and can dynamically predict the efficacy of EGFR‐TKI. Thoracic Cancer. 3(4). 334–340. 36 indexed citations
20.

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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