Lanjun Zhang

3.0k total citations
75 papers, 1.6k citations indexed

About

Lanjun Zhang is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Oncology. According to data from OpenAlex, Lanjun Zhang has authored 75 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Pulmonary and Respiratory Medicine, 28 papers in Surgery and 27 papers in Oncology. Recurrent topics in Lanjun Zhang's work include Esophageal Cancer Research and Treatment (23 papers), Lung Cancer Diagnosis and Treatment (17 papers) and Gastric Cancer Management and Outcomes (15 papers). Lanjun Zhang is often cited by papers focused on Esophageal Cancer Research and Treatment (23 papers), Lung Cancer Diagnosis and Treatment (17 papers) and Gastric Cancer Management and Outcomes (15 papers). Lanjun Zhang collaborates with scholars based in China, United States and United Kingdom. Lanjun Zhang's co-authors include Jinhu Li, Xuewen Zhang, Yinbo Zhou, Yongliang Yang, Guowei Ma, Yingsheng Wen, Xiangyang Yu, Hao Long, Zenghua Li and Leilei Si and has published in prestigious journals such as Journal of Clinical Oncology, Clinical Cancer Research and Fuel.

In The Last Decade

Lanjun Zhang

74 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lanjun Zhang China 21 638 559 417 339 263 75 1.6k
Per Rosenberg Sweden 22 111 0.2× 452 0.8× 210 0.5× 221 0.7× 96 0.4× 46 1.7k
Alan Sharpe United Kingdom 19 356 0.6× 624 1.1× 342 0.8× 90 0.3× 289 1.1× 37 1.7k
Philippe Olivier France 29 384 0.6× 268 0.5× 177 0.4× 414 1.2× 186 0.7× 105 2.4k
Mohamed Gasmi France 22 528 0.8× 936 1.7× 107 0.3× 618 1.8× 176 0.7× 90 1.7k
Chengjun Zhou China 25 310 0.5× 361 0.6× 533 1.3× 395 1.2× 251 1.0× 94 1.5k
Lynn M. Crosby United States 14 405 0.6× 80 0.1× 369 0.9× 131 0.4× 111 0.4× 28 1.4k
Yunchao Huang China 29 2.0k 3.2× 1.7k 3.0× 1.6k 3.7× 230 0.7× 1.1k 4.2× 139 3.9k
Dongqing Gu China 16 172 0.3× 319 0.6× 341 0.8× 91 0.3× 244 0.9× 43 1.2k
Chien-Ying Wang Taiwan 23 214 0.3× 379 0.7× 520 1.2× 167 0.5× 186 0.7× 44 1.6k
Nikolaos Tsoukalas Greece 20 207 0.3× 503 0.9× 268 0.6× 160 0.5× 134 0.5× 106 1.5k

Countries citing papers authored by Lanjun Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Lanjun Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lanjun Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Lanjun Zhang. A scholar is included among the top collaborators of Lanjun Zhang 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 Lanjun Zhang. Lanjun Zhang 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.
Zhang, Yabo, Xuyao Qi, Lanjun Zhang, et al.. (2025). Generation patterns and mechanistic interpretation of PAHs during high-temperature reaction processes of coal: A case study of Shuozhou long-flame coal. Fuel. 387. 134426–134426. 3 indexed citations
2.
3.
Yao, Xi, Zhenzhen Li, Jie Chen, et al.. (2022). The role of vascular invasion and lymphatic invasion in predicting recurrent thoracic oesophageal squamous cell carcinoma. World Journal of Surgical Oncology. 20(1). 12–12. 9 indexed citations
4.
Guo, Guangran, Xiangyang Yu, Yingsheng Wen, et al.. (2022). Mutation-Derived Long Noncoding RNA Signature Predicts Survival in Lung Adenocarcinoma. Frontiers in Oncology. 12. 780631–780631. 5 indexed citations
5.
Zhang, Rusi, Guangran Guo, Gongming Wang, et al.. (2021). Development and validation of a prediction model for lung adenocarcinoma based on RNA-binding protein. Annals of Translational Medicine. 9(6). 474–474. 14 indexed citations
6.
Wu, Lei‐Lei, Wei Huang, Xuan Liu, et al.. (2021). A prognostic model for stratification of stage IB/IIA esophageal squamous cell carcinoma: a retrospective study. BMC Gastroenterology. 21(1). 59–59. 5 indexed citations
7.
Wang, Ruiqi, Xiaoran Long, Chunlei Ge, et al.. (2020). Identification of a 4-lncRNA signature predicting prognosis of patients with non-small cell lung cancer: a multicenter study in China. Journal of Translational Medicine. 18(1). 320–320. 7 indexed citations
8.
9.
Wang, Weidong, Dongni Chen, Weiwei Chen, et al.. (2020). Early Detection of Non-Small Cell Lung Cancer by Using a 12-microRNA Panel and a Nomogram for Assistant Diagnosis. Frontiers in Oncology. 10. 855–855. 16 indexed citations
10.
Zhang, Rusi, Ling Cai, Gongming Wang, et al.. (2020). Resection of Early-Stage Second Primary Non-small Cell Lung Cancer After Small Cell Lung Cancer: A Population-Based Study. Frontiers in Oncology. 9. 1552–1552. 7 indexed citations
11.
Yu, Xiangyang, Xuewen Zhang, Fang Wang, et al.. (2018). Correlation and prognostic significance of PD-L1 and P53 expression in resected primary pulmonary lymphoepithelioma-like carcinoma. Journal of Thoracic Disease. 10(3). 1891–1902. 29 indexed citations
12.
Guo, Kang, Wuping Wang, Tao Jiang, et al.. (2016). Assessment of epidermal growth factor receptor mutation/copy number and K-ras mutation in esophageal cancer. Journal of Thoracic Disease. 8(7). 1753–1763. 13 indexed citations
13.
14.
Tan, Zihui, Guowei Ma, Hao‐Xian Yang, et al.. (2014). Can Lymph Node Ratio Replace pN Categories in the Tumor-Node-Metastasis Classification System for Esophageal Cancer?. Journal of Thoracic Oncology. 9(8). 1214–1221. 59 indexed citations
15.
Wen, Yingsheng, Xuewen Zhang, Rongqing Qin, & Lanjun Zhang. (2014). Effect of metabolic syndrome and its components on recurrence and survival in early-stage non-small cell lung cancer. Medical Oncology. 32(1). 423–423. 2 indexed citations
16.
Tan, Zihui, Guowei Ma, Yuqi Meng, et al.. (2013). Validation of the 7th edition American Joint Committee on cancer staging system for esophageal squamous cell carcinoma. Thoracic Cancer. 4(4). 410–415. 2 indexed citations
17.
Situ, Dongrong, Yongbin Lin, Hao Long, et al.. (2013). Surgical Treatment for Limited-Stage Primary Small Cell Cancer of the Esophagus. The Annals of Thoracic Surgery. 95(3). 1057–1062. 29 indexed citations
18.
Liu, Qianwen, Zihui Tan, Peng Lin, et al.. (2013). Impact of the number of resected lymph nodes on postoperative survival of patients with node-negative oesophageal squamous cell carcinoma. European Journal of Cardio-Thoracic Surgery. 44(4). 631–636. 13 indexed citations
19.
Wang, Bo, Lian Li, Yuan Liao, et al.. (2013). Mast cells expressing interleukin 17 in the muscularis propria predict a favorable prognosis in esophageal squamous cell carcinoma. Cancer Immunology Immunotherapy. 62(10). 1575–1585. 63 indexed citations
20.
Chen, Kejun, et al.. (2007). [Characteristics and influencing factors of air pollution in and out of the highway toll gates].. PubMed. 28(8). 1847–53. 5 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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