Ling‐Long Tang

14.4k total citations · 3 hit papers
181 papers, 6.5k citations indexed

About

Ling‐Long Tang is a scholar working on Otorhinolaryngology, Surgery and Oncology. According to data from OpenAlex, Ling‐Long Tang has authored 181 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 142 papers in Otorhinolaryngology, 80 papers in Surgery and 69 papers in Oncology. Recurrent topics in Ling‐Long Tang's work include Head and Neck Cancer Studies (141 papers), Head and Neck Surgical Oncology (52 papers) and Lung Cancer Treatments and Mutations (25 papers). Ling‐Long Tang is often cited by papers focused on Head and Neck Cancer Studies (141 papers), Head and Neck Surgical Oncology (52 papers) and Lung Cancer Treatments and Mutations (25 papers). Ling‐Long Tang collaborates with scholars based in China, United States and Hong Kong. Ling‐Long Tang's co-authors include Jun Ma, Ying Sun, Yan‐Ping Mao, Lei Chen, Ai-Hua Lin, Guan‐Qun Zhou, Rui Guo, Aihua Lin, Yu‐Pei Chen and Wen-Fei Li and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Ling‐Long Tang

179 papers receiving 6.5k citations

Hit Papers

Comparative safety of immune checkpoint inhibitors in can... 2018 2026 2020 2023 2018 2019 2019 100 200 300 400

Peers

Ling‐Long Tang
Comparison fields: 5 of 133
  • Otorhinolaryngology 3.6k
  • Oncology 2.7k
  • Surgery 2.2k
  • Pulmonary and Respiratory Medicine 1.8k
  • Radiology, Nuclear Medicine and Imaging 1.3k
Replace Yan‐Ping Mao with:
Yan‐Ping Mao China
Wai Tong Ng China
Eric J. Sherman United States
June Corry Australia
K. Kian Ang United States
Roy B. Tishler United States
Guan‐Qun Zhou China
Jiade J. Lu China
Bhadrasain Vikram United States
Richard Fisher Australia
Yan‐Ping Mao China View profile →
Citations per field, relative to Ling‐Long Tang
Ling‐Long Tang · 1×
Citations per year, relative to Ling‐Long Tang
Ling‐Long Tang · 1×

Countries citing papers authored by Ling‐Long Tang

Since Specialization
Citations

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

Fields of papers citing papers by Ling‐Long Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling‐Long Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Ling‐Long Tang. A scholar is included among the top collaborators of Ling‐Long Tang 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‐Long Tang. Ling‐Long Tang 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
# Work Indexed citations
1 12
2 10
3 3
4 0
5 1
6 3
7 5
8 10
9 41
10 3
11 14
12
Prognostic Value of Deep Learning PET/CT-Based Radiomics: Potential Role for Future Individual Induction Chemotherapy in Advanced Nasopharyngeal Carcinoma breakdown →
241
13 9
14
Deep Learning for Automated Contouring of Primary Tumor Volumes by MRI for Nasopharyngeal Carcinoma breakdown →
237
15 16
16 15
17 139
18 103
19 29
20 26

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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