Jun‐Tao Lin

828 total citations · 1 hit paper
24 papers, 327 citations indexed

About

Jun‐Tao Lin is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Jun‐Tao Lin has authored 24 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Pulmonary and Respiratory Medicine, 9 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Surgery. Recurrent topics in Jun‐Tao Lin's work include Lung Cancer Diagnosis and Treatment (13 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Lung Cancer Treatments and Mutations (7 papers). Jun‐Tao Lin is often cited by papers focused on Lung Cancer Diagnosis and Treatment (13 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Lung Cancer Treatments and Mutations (7 papers). Jun‐Tao Lin collaborates with scholars based in China, Taiwan and South Korea. Jun‐Tao Lin's co-authors include Yi‐Long Wu, Wen‐Zhao Zhong, Xue‐Ning Yang, Hong‐Hong Yan, Qiang Nie, Dongfang Zhou, Yupeng Wang, Youhui Lin, Bo Yu and Chaoyu Fan and has published in prestigious journals such as Carbohydrate Polymers, Annals of Oncology and Advanced Science.

In The Last Decade

Jun‐Tao Lin

20 papers receiving 325 citations

Hit Papers

Using Cu‐Based Metal–Organic Framework as a Comprehensive... 2024 2026 2025 2024 25 50 75

Peers

Jun‐Tao Lin
Comparison fields: 5 of 68
  • Pulmonary and Respiratory Medicine 182
  • Radiology, Nuclear Medicine and Imaging 71
  • Oncology 64
  • Materials Chemistry 56
  • Molecular Biology 51
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Xiao Jiang China
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Jia-Bin Liao Taiwan
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Naritoshi Mukumoto Japan View profile →
Citations per field, relative to Jun‐Tao Lin
Jun‐Tao Lin · 1×
Citations per year, relative to Jun‐Tao Lin
Jun‐Tao Lin · 1×

Countries citing papers authored by Jun‐Tao Lin

Since Specialization
Citations

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

Fields of papers citing papers by Jun‐Tao Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun‐Tao Lin. 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 Jun‐Tao Lin. The network helps show where Jun‐Tao Lin may publish in the future.

Co-authorship network of co-authors of Jun‐Tao Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Jun‐Tao Lin. A scholar is included among the top collaborators of Jun‐Tao Lin 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 Jun‐Tao Lin. Jun‐Tao Lin 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 0
2 0
3 2
4 1
5
Using Cu‐Based Metal–Organic Framework as a Comprehensive and Powerful Antioxidant Nanozyme for Efficient Osteoarthritis Treatment breakdown →
83
6 6
7 0
8 2
9 9
10 21
11 2
12 3
13 36
14 3
15 14
16 21
17 47
18 0
19 22
20 18

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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