Jianjun Qin

1.7k total citations
97 papers, 993 citations indexed

About

Jianjun Qin is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Jianjun Qin has authored 97 papers receiving a total of 993 indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Surgery, 63 papers in Pulmonary and Respiratory Medicine and 20 papers in Oncology. Recurrent topics in Jianjun Qin's work include Esophageal Cancer Research and Treatment (62 papers), Gastric Cancer Management and Outcomes (34 papers) and Esophageal and GI Pathology (31 papers). Jianjun Qin is often cited by papers focused on Esophageal Cancer Research and Treatment (62 papers), Gastric Cancer Management and Outcomes (34 papers) and Esophageal and GI Pathology (31 papers). Jianjun Qin collaborates with scholars based in China, United States and Germany. Jianjun Qin's co-authors include Yin Li, Jinrong Qu, Zhaoqi Wang, Xianben Liu, Haibo Sun, Jia Guo, Zongfei Wang, Hongkai Zhang, Yongkui Yu and Hailiang Li and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Annals of Surgery.

In The Last Decade

Jianjun Qin

87 papers receiving 984 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jianjun Qin China 18 592 528 309 267 152 97 993
Hirofumi Kawakubo Japan 18 693 1.2× 559 1.1× 273 0.9× 82 0.3× 212 1.4× 79 1.1k
Yong Lai Park South Korea 20 366 0.6× 217 0.4× 329 1.1× 143 0.5× 147 1.0× 47 1.0k
Nirmal K. Veeramachaneni United States 14 189 0.3× 546 1.0× 167 0.5× 103 0.4× 202 1.3× 37 821
Chang Hak Yoo South Korea 20 592 1.0× 1.0k 1.9× 437 1.4× 110 0.4× 139 0.9× 47 1.4k
A. Khan United Kingdom 17 475 0.8× 307 0.6× 621 2.0× 76 0.3× 70 0.5× 47 1.0k
Wen Kong China 18 203 0.3× 425 0.8× 236 0.8× 100 0.4× 401 2.6× 65 887
Han Liang China 24 734 1.2× 1.2k 2.3× 381 1.2× 64 0.2× 163 1.1× 108 1.6k
Chia‐Hsuan Lai Taiwan 17 273 0.5× 199 0.4× 305 1.0× 116 0.4× 57 0.4× 44 738
Minako Yoshikawa Japan 13 519 0.9× 424 0.8× 128 0.4× 154 0.6× 137 0.9× 18 747

Countries citing papers authored by Jianjun Qin

Since Specialization
Citations

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

Fields of papers citing papers by Jianjun Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianjun Qin

This figure shows the co-authorship network connecting the top 25 collaborators of Jianjun Qin. A scholar is included among the top collaborators of Jianjun 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 Jianjun Qin. Jianjun 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.
Guo, Wei, Bolun Zhou, Lizhou Dou, et al.. (2025). Single-cell RNA sequencing and spatial transcriptomics of esophageal squamous cell carcinoma with lymph node metastases. Experimental & Molecular Medicine. 57(1). 59–71. 4 indexed citations
2.
Yang, Yafan, Liyan Xue, Xiankai Chen, et al.. (2025). Lymph Node Metastasis for pN+ Superficial Esophageal Squamous Cell Carcinoma. Thoracic Cancer. 16(1). e15504–e15504. 1 indexed citations
3.
Yu, Nuo, Jiao Li, Jianjun Qin, et al.. (2024). Efficacy and safety of the combination of tisleizumab with chemoradiotherapy in oligorecurrence esophageal squamous cell carcinoma: A prospective phase II study.. Journal of Clinical Oncology. 42(16_suppl). 4057–4057. 1 indexed citations
4.
Kang, Xiaozheng, Liyan Xue, Xiaotian Zhao, et al.. (2024). Chemoradiotherapy and Subsequent Immunochemotherapy as Conversion Therapy in Unresectable Locally Advanced Esophageal Squamous Cell Carcinoma: A Phase II NEXUS-1 Trial. Clinical Cancer Research. 30(22). 5061–5072. 4 indexed citations
5.
Song, Tao, Shuang Lü, Jinrong Qu, et al.. (2024). Intravoxel incoherent motion diffusion-weighted imaging in evaluating preoperative staging of esophageal squamous cell carcinoma. Cancer Imaging. 24(1). 116–116.
6.
Yang, Yafan, Haomiao Li, Xiankai Chen, et al.. (2023). Comparison of neoadjuvant nab‐paclitaxel plus immunotherapy versus paclitaxel plus immunotherapy for esophageal squamous cell carcinoma. Thoracic Cancer. 14(7). 700–708. 8 indexed citations
7.
Liu, Ying, Yudong Wang, Zhao Ma, et al.. (2023). A Machine Learning Method to Predict Pathological Complete Response of Esophageal Cancer after Neoadjuvant Chemoradiotherapy with Clinicohematological Markers and MR Radiomics: A Multi-Center Study. International Journal of Radiation Oncology*Biology*Physics. 117(2). e318–e318. 1 indexed citations
8.
Zhang, Ruixiang, Canjun Li, Zhiyi Wan, et al.. (2023). Comparative genomic analysis of esophageal squamous cell carcinoma among different geographic regions. Frontiers in Oncology. 12. 999424–999424. 1 indexed citations
9.
Yang, Zhaoyang, Hua Lin, Zhen Wang, et al.. (2022). The prognostic significance of the circumferential resection margin in esophageal squamous cell carcinoma patients without neoadjuvant treatment. BMC Cancer. 22(1). 1180–1180. 2 indexed citations
10.
Wang, Zhen, Xiankai Chen, Yong Li, et al.. (2022). Phase Ib trial of camrelizumab combined with chemotherapy and apatinib for neoadjuvant treatment of locally advanced thoracic esophageal squamous cell carcinoma. SHILAP Revista de lepidopterología. 2(2). 98–105. 8 indexed citations
11.
Cheng, Jiwei, Yongkui Yu, Baoxing Liu, et al.. (2021). Adjuvant treatment can improve prognosis in patients with non-small cell lung cancer ≤3 cm after sublobectomy: a propensity score analysis. Journal of Thoracic Disease. 13(1). 312–321. 1 indexed citations
12.
13.
Qu, Jinrong, Chen Shen, Jianjun Qin, et al.. (2018). The MR radiomic signature can predict preoperative lymph node metastasis in patients with esophageal cancer. European Radiology. 29(2). 906–914. 63 indexed citations
14.
Guo, Jia, Zhaoqi Wang, Hongkai Zhang, et al.. (2018). The value of 3 T MR in preoperative T staging of potentially resectable esophageal cancer compared with endoscopic ultrasonography. Zhonghua fangshexian yixue zazhi. 52(3). 199–203. 1 indexed citations
15.
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17.
Yu, Yongkui, Rui‐xiang Zhang, Haibo Sun, et al.. (2013). Tracheoesophageal fistula treated with esophageal exclusion and cervical esophago-gastric anastomosis via a retrosternal approach. Chinese Medical Journal. 126(9). 1800–1800. 3 indexed citations
18.
Zhou, Qinghua, et al.. (2013). [Study on transduction of IL-24 gene in human bone marrow mesenchymal stem cells by lentiviral vector].. SHILAP Revista de lepidopterología. 16(1). 7–11. 1 indexed citations
19.
Liu, Baoxing, et al.. (2012). Anterior mediastinal masses resection with cosmetic skin approach. Thoracic Cancer. 4(3). 339–343. 3 indexed citations
20.
Qin, Jianjun, et al.. (2010). Treatment of Esophagogastric Anastomotic Leak with Perianastomotic Drain. Journal of Thoracic Oncology. 5(2). 251–253. 8 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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