Xianglong Pan

862 total citations
39 papers, 512 citations indexed

About

Xianglong Pan is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Surgery. According to data from OpenAlex, Xianglong Pan has authored 39 papers receiving a total of 512 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Pulmonary and Respiratory Medicine, 12 papers in Molecular Biology and 7 papers in Surgery. Recurrent topics in Xianglong Pan's work include Lung Cancer Diagnosis and Treatment (16 papers), Lung Cancer Treatments and Mutations (6 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Xianglong Pan is often cited by papers focused on Lung Cancer Diagnosis and Treatment (16 papers), Lung Cancer Treatments and Mutations (6 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Xianglong Pan collaborates with scholars based in China, Malaysia and India. Xianglong Pan's co-authors include Liang Chen, Weibing Wu, Jing Xu, Zhicheng He, Yang Xia, Quan Zhu, Wei Wen, Xinfeng Xu, Chunfeng Pan and Ke Wei and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biochemical and Biophysical Research Communications and Frontiers in Microbiology.

In The Last Decade

Xianglong Pan

35 papers receiving 508 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xianglong Pan China 11 264 189 153 79 70 39 512
Oliver Delgado United States 9 239 0.9× 113 0.6× 111 0.7× 43 0.5× 91 1.3× 12 440
Andrea Arenz Germany 11 184 0.7× 112 0.6× 85 0.6× 68 0.9× 120 1.7× 22 411
Jiamei Fu China 13 278 1.1× 142 0.8× 170 1.1× 192 2.4× 76 1.1× 28 540
Valérie Buard France 12 174 0.7× 97 0.5× 74 0.5× 183 2.3× 75 1.1× 21 411
Medha S. Darshan United States 8 277 1.0× 292 1.5× 241 1.6× 85 1.1× 145 2.1× 13 731
M. Abend Germany 11 279 1.1× 118 0.6× 193 1.3× 226 2.9× 101 1.4× 28 516
Tanya K. Day Australia 12 205 0.8× 259 1.4× 167 1.1× 274 3.5× 46 0.7× 15 576
Fuyumi Yamamoto Japan 8 207 0.8× 231 1.2× 112 0.7× 148 1.9× 70 1.0× 8 591
Chengdang Xu China 12 265 1.0× 146 0.8× 211 1.4× 33 0.4× 50 0.7× 34 455

Countries citing papers authored by Xianglong Pan

Since Specialization
Citations

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

Fields of papers citing papers by Xianglong Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xianglong Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Xianglong Pan. A scholar is included among the top collaborators of Xianglong Pan 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 Xianglong Pan. Xianglong Pan 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.
Pan, Xianglong, et al.. (2025). Applying Prototype Theory to Assess Generational Divide in Usability of Icons Depicting Product Appearance. International Journal of Human-Computer Interaction. 41(20). 13151–13174.
2.
Pan, Xianglong, et al.. (2025). Left upper division segmentectomy is not a simple procedure: experience from two high-volume centers. Surgical Endoscopy. 39(5). 3146–3154.
3.
Li, Zhihua, et al.. (2024). Oncologic outcomes of three-dimensional navigation-guided segmentectomy for early-stage non-small cell lung cancer >2–3 cm. Asian Journal of Surgery. 48(3). 1659–1665. 1 indexed citations
4.
He, Zhicheng, et al.. (2024). Thoracoscopic anatomical sublobar resection for deep interlobar lung cancer with fused fissure. Journal of Thoracic Disease. 16(12). 8162–8172.
5.
Li, Zhihua, et al.. (2024). Sublobar resection for small-sized non-small cell lung cancer: A comprehensive comparison between subsegmentectomy, segmentectomy and wedge resection. European Journal of Surgical Oncology. 50(9). 108541–108541. 1 indexed citations
6.
7.
Li, Zhihua, et al.. (2023). Segmentectomy versus lobectomy for small‐sized pure solid non–small cell lung cancer. Thoracic Cancer. 14(11). 1021–1028. 7 indexed citations
8.
He, Zhicheng, Xianglong Pan, Zhihua Li, et al.. (2021). Individualized dorsal basal segment (S10) resection using intersegmental veins as the landmark. Interactive Cardiovascular and Thoracic Surgery. 34(6). 1071–1078. 1 indexed citations
10.
Li, Fang, Cheng Pan, Zhicheng He, et al.. (2021). Tumor cell proliferation (Ki-67) expression and its prognostic significance in histological subtypes of lung adenocarcinoma. Lung Cancer. 154. 69–75. 45 indexed citations
11.
Hao, Erwei, Wei Wei, Jianhua Miao, et al.. (2020). Identification and Analysis of Components in Yizhi Granule and Cynomolgus Monkey Plasma after Oral Administration by UPLC/ESI-Q-TOF MS and Their Protective Effects on PC12 Cells. Journal of Analytical Methods in Chemistry. 2020. 1–14. 5 indexed citations
12.
Li, Zhihua, Wei Wen, Weibing Wu, et al.. (2020). Systematic analysis of genetic variants in cancer-testis genes identified two novel lung cancer susceptibility loci in Chinese population. Journal of Cancer. 11(7). 1985–1993. 1 indexed citations
13.
Yang, Fengming, Chunfeng Pan, Xianglong Pan, et al.. (2020). Correction: miR-1260b, mediated by YY1, activates KIT signaling by targeting SOCS6 to regulate cell proliferation and apoptosis in NSCLC. Cell Death and Disease. 11(4). 5 indexed citations
14.
Xia, Yang, Ke Wei, Fengming Yang, et al.. (2019). miR-1260b, mediated by YY1, activates KIT signaling by targeting SOCS6 to regulate cell proliferation and apoptosis in NSCLC. Cell Death and Disease. 10(2). 112–112. 39 indexed citations
15.
Xie, Jinling, et al.. (2019). Subcutaneous inoculation position affects the immune environment in CT26 carcinomas. Biochemical and Biophysical Research Communications. 512(2). 244–249. 7 indexed citations
16.
Wu, Weibing, Yang Xia, Xianglong Pan, et al.. (2018). Three‐dimensional navigation‐guided thoracoscopic combined subsegmentectomy for intersegmental pulmonary nodules. Thoracic Cancer. 10(1). 41–46. 31 indexed citations
17.
Wu, Weibing, et al.. (2017). Modified inflation-deflation for 146 thoracscopic cone-shaped segmentectomies. 33(9). 517–521. 2 indexed citations
18.
Zhong, Yan, Xiao‐Quan Xu, Xianglong Pan, et al.. (2017). Retrospective Evaluation of Safety, Efficacy and Risk Factors for Pneumothorax in Simultaneous Localizations of Multiple Pulmonary Nodules Using Hook Wire System. CardioVascular and Interventional Radiology. 40(9). 1408–1414. 21 indexed citations
19.
Xu, Jing, Weibing Wu, Jun Wang, et al.. (2016). miR-367 promotes the proliferation and invasion of non-small cell lung cancer via targeting FBXW7. Oncology Reports. 37(2). 1052–1058. 21 indexed citations
20.
Pan, Xianglong. (2007). Clinical Effects and Quality of Life of 96 Patients with Psoriasis Vulgaris Treated with Integrative Chinese and Western Medicine. Shanghai Journal of Traditional Chinese Medicine. 1 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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