Ling He

779 total citations
40 papers, 555 citations indexed

About

Ling He is a scholar working on Surgery, Otorhinolaryngology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ling He has authored 40 papers receiving a total of 555 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Surgery, 11 papers in Otorhinolaryngology and 11 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ling He's work include Head and Neck Cancer Studies (11 papers), Advanced Radiotherapy Techniques (5 papers) and Head and Neck Surgical Oncology (5 papers). Ling He is often cited by papers focused on Head and Neck Cancer Studies (11 papers), Advanced Radiotherapy Techniques (5 papers) and Head and Neck Surgical Oncology (5 papers). Ling He collaborates with scholars based in China, Australia and Hong Kong. Ling He's co-authors include Xingchen Peng, T J Popkin, Robert H. Purcell, David W. Alling, H. J. Alter, Max Shapiro, Yue Chen, Jingjing Wang, Jianghong Xiao and Zhigong Wei and has published in prestigious journals such as Journal of Medicinal Chemistry, The Journal of Infectious Diseases and International Journal of Cancer.

In The Last Decade

Ling He

38 papers receiving 538 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ling He China 13 148 124 118 94 68 40 555
Maja Marolt Mušič Slovenia 14 95 0.6× 42 0.3× 20 0.2× 49 0.5× 141 2.1× 24 746
Chong-Ke Zhao China 15 224 1.5× 78 0.6× 91 0.8× 94 1.0× 66 1.0× 42 748
Jinfeng Xu China 17 283 1.9× 89 0.7× 34 0.3× 124 1.3× 33 0.5× 124 983
Shuting Chen China 16 139 0.9× 55 0.4× 164 1.4× 90 1.0× 114 1.7× 48 665
Koramadai Karuppusamy Kamaleshwaran India 12 227 1.5× 45 0.4× 12 0.1× 123 1.3× 96 1.4× 48 433
Yasutoshi Suzuki Japan 16 26 0.2× 109 0.9× 160 1.4× 105 1.1× 63 0.9× 48 889
Peter Manser Switzerland 20 586 4.0× 21 0.2× 15 0.1× 745 7.9× 23 0.3× 113 1.2k

Countries citing papers authored by Ling He

Since Specialization
Citations

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

Fields of papers citing papers by Ling He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling He

This figure shows the co-authorship network connecting the top 25 collaborators of Ling He. A scholar is included among the top collaborators of Ling He 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 Ling He. Ling He 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, Jing, et al.. (2024). Path planning algorithm for percutaneous puncture lung mass biopsy procedure based on the multi-objective constraints and fuzzy optimization. Physics in Medicine and Biology. 69(9). 95006–95006. 2 indexed citations
2.
Liu, Zheran, Ruidan Li, Zhigong Wei, et al.. (2023). Association between BMI trajectories in late-middle age and subsequent dementia risk in older age: a 26-year population-based cohort study. BMC Geriatrics. 23(1). 773–773. 3 indexed citations
3.
Hu, Xiaolin, Yan He, Hui Guan, et al.. (2021). Clinical and survival analysis of nasopharyngeal carcinoma with consistently negative Epstein–Barr virus DNA. Head & Neck. 43(5). 1465–1475. 7 indexed citations
4.
Peng, Xingchen, Yan He, Hui Guan, et al.. (2021). Survival outcomes in patients with parotid gland carcinoma treated with postoperative therapies using risk stratification. Head & Neck. 43(8). 2488–2496.
5.
Liu, Zheran, Jianjun Ren, Juejin Li, et al.. (2021). Association between fish oil supplementation and cancer risk according to fatty fish consumption: A large prospective population‐based cohort study using UK Biobank. International Journal of Cancer. 150(4). 562–571. 13 indexed citations
6.
He, Yan, Zhihao Zhao, Ying Wang, et al.. (2021). Induction chemotherapy followed by intensity‐modulated radiotherapy versus concurrent chemoradiotherapy in nasopharyngeal carcinoma: A retrospective analysis. Clinical Otolaryngology. 46(5). 976–982. 7 indexed citations
7.
Guan, Hui, Yan He, Yonglin Su, et al.. (2021). Assessment of different induction chemotherapy regimens in locally advanced nasopharyngeal carcinoma: Meta‐analysis. Head & Neck. 43(8). 2332–2341. 4 indexed citations
8.
Li, Ruidan, Zhigong Wei, Zheran Liu, et al.. (2021). The prognostic role of radiotherapy and radiotherapy target in cervical lymph node metastatic squamous cell carcinoma with unknown primary: a retrospective study. Journal of Cancer Research and Clinical Oncology. 148(6). 1437–1445. 1 indexed citations
9.
Wei, Zhigong, Zhuang Zhang, Ling He, et al.. (2021). Development and validation of nomograms for predicting survival and recurrence in patients with parotid gland cancer. Gland Surgery. 10(8). 2398–2407. 1 indexed citations
10.
He, Ling, Jianghong Xiao, Zhigong Wei, et al.. (2020). Toxicity and dosimetric analysis of nasopharyngeal carcinoma patients undergoing radiotherapy with IMRT or VMAT: A regional center's experience. Oral Oncology. 109. 104978–104978. 13 indexed citations
11.
Wang, Jingjing, Ping Ai, Yan He, et al.. (2020). Observation versus radiotherapy with or without temozolomide in postoperative WHO grade II high-risk low-grade glioma: a retrospective cohort study. Neurosurgical Review. 44(3). 1447–1455. 14 indexed citations
12.
He, Yan, Jialing He, Jingjing Wang, et al.. (2020). Optimizing number of cycles of induction chemotherapy for patients with nasopharyngeal carcinoma: Retrospective survival analysis. Head & Neck. 42(8). 2067–2076. 19 indexed citations
13.
Mu, Xiaoli, Ling He, Hui Guan, et al.. (2020). Prognostic nomogram for adenoid cystic carcinoma in different anatomic sites. Head & Neck. 43(1). 48–59. 19 indexed citations
14.
Liu, Yicheng, Hao Wu, Jing Qin, et al.. (2020). Trajectory and image-based detection and identification of UAV. The Visual Computer. 37(7). 1769–1780. 24 indexed citations
15.
Zeng, Zhenling, Huangkai Zhu, Ling He, et al.. (2020). Highly expressed lncRNA FOXD3-AS1 promotes non-small cell lung cancer progression via regulating miR-127-3p/mediator complex subunit 28 axis.. PubMed. 24(5). 2525–2538. 7 indexed citations
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18.
Huang, Yunzhi, Junpeng Zhang, Gang Yang, et al.. (2017). How Different EEG References Influence Sensor Level Functional Connectivity Graphs. Frontiers in Neuroscience. 11. 368–368. 25 indexed citations
19.
Zhang, Junpeng, Ling He, Junran Zhang, et al.. (2015). Closely Spaced MEG Source Localization and Functional Connectivity Analysis Using a New Prewhitening Invariance of Noise Space Algorithm. Neural Plasticity. 2016. 1–12. 5 indexed citations
20.
Chen, Yue, et al.. (2007). Study of Apoptosis Induced by 188 Re-DTPA-DG in MCF-7 Breast Carcinoma and A549 Pulmonary Carcinoma Cells. Cancer Biotherapy and Radiopharmaceuticals. 22(4). 543–550. 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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