Jiajun Teng

911 total citations · 1 hit paper
28 papers, 663 citations indexed

About

Jiajun Teng is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Surgery. According to data from OpenAlex, Jiajun Teng has authored 28 papers receiving a total of 663 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Pulmonary and Respiratory Medicine, 14 papers in Oncology and 5 papers in Surgery. Recurrent topics in Jiajun Teng's work include Lung Cancer Diagnosis and Treatment (15 papers), Lung Cancer Treatments and Mutations (12 papers) and Lung Cancer Research Studies (8 papers). Jiajun Teng is often cited by papers focused on Lung Cancer Diagnosis and Treatment (15 papers), Lung Cancer Treatments and Mutations (12 papers) and Lung Cancer Research Studies (8 papers). Jiajun Teng collaborates with scholars based in China, United Kingdom and Germany. Jiajun Teng's co-authors include Baohui Han, Runbo Zhong, Jiayuan Sun, Yanwei Zhang, Hua Zhong, Hua Zhong, Tianqing Chu, Jialin Qian, Chunlei Shi and David Garfield and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biochemical and Biophysical Research Communications and Gene.

In The Last Decade

Jiajun Teng

26 papers receiving 648 citations

Hit Papers

Phase 1b Study of Sintilimab Plus Anlotinib as First-line... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiajun Teng China 12 429 314 110 94 88 28 663
Naoko Imanishi Japan 15 487 1.1× 236 0.8× 148 1.3× 36 0.4× 33 0.4× 64 669
Ligang Xing China 13 284 0.7× 169 0.5× 60 0.5× 62 0.7× 241 2.7× 44 594
Hans Blaauwgeers Netherlands 11 293 0.7× 165 0.5× 101 0.9× 171 1.8× 106 1.2× 21 587
Carlo Furlan Italy 13 252 0.6× 180 0.6× 98 0.9× 29 0.3× 134 1.5× 29 515
Gyu Sang Yoo South Korea 13 211 0.5× 203 0.6× 100 0.9× 50 0.5× 95 1.1× 56 541
Carol Felix United States 10 196 0.5× 256 0.8× 160 1.5× 89 0.9× 70 0.8× 14 557
Sarah Gwynne United Kingdom 15 369 0.9× 256 0.8× 372 3.4× 107 1.1× 163 1.9× 63 753
Hayato Kawachi Japan 12 435 1.0× 549 1.7× 83 0.8× 88 0.9× 40 0.5× 35 711
Agathe Seguin‐Givelet France 13 290 0.7× 190 0.6× 111 1.0× 138 1.5× 54 0.6× 63 512

Countries citing papers authored by Jiajun Teng

Since Specialization
Citations

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

Fields of papers citing papers by Jiajun Teng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiajun Teng

This figure shows the co-authorship network connecting the top 25 collaborators of Jiajun Teng. A scholar is included among the top collaborators of Jiajun Teng 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 Jiajun Teng. Jiajun Teng 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
3.
Pan, Jianguo, Huan Li, Jiajun Teng, Qin Zhao, & Maozhen Li. (2022). Dynamic Network Representation Learning Method Based on Improved GRU Network. Computing and Informatics. 41(6). 1491–1509. 1 indexed citations
4.
Zhang, Yao, Haozhe Huang, Shuhui Cao, et al.. (2021). Clinical value of an electromagnetic navigation system for CT-guided percutaneous lung biopsy of peripheral lung lesions. Journal of Thoracic Disease. 13(8). 4885–4893. 8 indexed citations
5.
Chu, Tianqing, Runbo Zhong, Hua Zhong, et al.. (2021). Phase 1b Study of Sintilimab Plus Anlotinib as First-line Therapy in Patients With Advanced NSCLC. Journal of Thoracic Oncology. 16(4). 643–652. 174 indexed citations breakdown →
7.
Teng, Jiajun, et al.. (2020). Radiofrequency ablation of synchronous multiple primary lung cancer assisted by a magnetic navigation system: a case report. Annals of Palliative Medicine. 9(2). 478–482. 7 indexed citations
8.
Chu, Tianqing, Qing Chang, Yanwei Zhang, et al.. (2019). The relationship between preliminary efficacy and prognosis after first-line EGFR tyrosine kinase inhibitor (EGFR-TKI) treatment of advanced non-small cell lung cancer. Annals of Translational Medicine. 7(9). 195–195. 7 indexed citations
9.
Zhong, Runbo, Xiaoxuan Zheng, Jiajun Teng, & Baohui Han. (2019). Application of endobronchial ultrasound-guided transbronchial needle aspiration in mediastinal lymphangioma. Annals of Translational Medicine. 7(18). 450–450. 2 indexed citations
10.
Xu, Jianlin, Shuyuan Wang, Bo Zhang, et al.. (2018). Adjuvant Chemotherapy Improves Survival in Surgically Resected Stage IB Squamous Lung Cancer. The Annals of Thoracic Surgery. 107(6). 1683–1689. 6 indexed citations
11.
Wang, Huimin, Yanwei Zhang, Jiajun Teng, et al.. (2017). P1.03-062 Lung Cancer Screening with Low-Dose CT in China: Study Design and Baseline Results from the First Round Screening Arm. Journal of Thoracic Oncology. 12(1). S581–S582. 2 indexed citations
12.
Wang, Lei, Weihua Wu, Jiajun Teng, et al.. (2016). Sonographic Features of Endobronchial Ultrasound in Differentiation of Benign Lymph Nodes. Ultrasound in Medicine & Biology. 42(12). 2785–2793. 15 indexed citations
13.
Ma, Meili, Chunlei Shi, Jialin Qian, et al.. (2016). Comparison of plasma and tissue samples in epidermal growth factor receptor mutation by ARMS in advanced non-small cell lung cancer. Gene. 591(1). 58–64. 31 indexed citations
14.
Zhong, Runbo, Xiaoxiao Ge, Tianqing Chu, et al.. (2015). Lentivirus-mediated knockdown of CTDP1 inhibits lung cancer cell growth in vitro. Journal of Cancer Research and Clinical Oncology. 142(4). 723–732. 4 indexed citations
15.
Wang, Lei, Weihua Wu, Jiajun Teng, et al.. (2015). Sonographic Features of Endobronchial Ultrasonography Predict Intrathoracic Lymph Node Metastasis in Lung Cancer Patients. The Annals of Thoracic Surgery. 100(4). 1203–1209. 36 indexed citations
16.
Sun, Jiayuan, Jiajun Teng, Jie Zhang, et al.. (2014). Determining Factors in Diagnosing Pulmonary Sarcoidosis by Endobronchial Ultrasound-Guided Transbronchial Needle Aspiration. The Annals of Thoracic Surgery. 99(2). 441–445. 32 indexed citations
17.
Chu, Tianqing, Jiajun Teng, Liyan Jiang, Hua Zhong, & Baohui Han. (2013). Lung cancer-derived Dickkopf1 is associated with bone metastasis and the mechanism involves the inhibition of osteoblast differentiation. Biochemical and Biophysical Research Communications. 443(3). 962–968. 26 indexed citations
18.
Sun, Jiayuan, et al.. (2013). Endobronchial ultrasound-guided transbronchial needle aspiration in the diagnosis of non-lymph node thoracic lesions. Annals of Thoracic Medicine. 8(1). 14–14. 17 indexed citations
19.
Sun, Jiayuan, Jiajun Teng, Zhifu Li, et al.. (2013). Endobronchial Ultrasound-Guided Transbronchial Needle Aspiration in Diagnosing Intrathoracic Tuberculosis. The Annals of Thoracic Surgery. 96(6). 2021–2027. 70 indexed citations
20.
Zhong, Runbo, Jiajun Teng, Baohui Han, & Hua Zhong. (2011). Dendritic cells combining with cytokine-induced killer cells synergize chemotherapy in patients with late-stage non-small cell lung cancer. Cancer Immunology Immunotherapy. 60(10). 1497–1502. 72 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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