Kun Lin

1.1k total citations
43 papers, 853 citations indexed

About

Kun Lin is a scholar working on Cardiology and Cardiovascular Medicine, Health, Toxicology and Mutagenesis and Oncology. According to data from OpenAlex, Kun Lin has authored 43 papers receiving a total of 853 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cardiology and Cardiovascular Medicine, 9 papers in Health, Toxicology and Mutagenesis and 8 papers in Oncology. Recurrent topics in Kun Lin's work include Atrial Fibrillation Management and Outcomes (8 papers), Cardiac Arrhythmias and Treatments (7 papers) and Venous Thromboembolism Diagnosis and Management (5 papers). Kun Lin is often cited by papers focused on Atrial Fibrillation Management and Outcomes (8 papers), Cardiac Arrhythmias and Treatments (7 papers) and Venous Thromboembolism Diagnosis and Management (5 papers). Kun Lin collaborates with scholars based in China, United States and United Kingdom. Kun Lin's co-authors include Kusheng Wu, Dyt Fong, Johan Karlberg, William W. Au, Jiaying Fang, Yongning Wu, Zhaoliang Shan, Yutang Wang, Wen‐Ying Shen and Zhong‐Ying Shen and has published in prestigious journals such as PLoS ONE, Scientific Reports and Chemosphere.

In The Last Decade

Kun Lin

41 papers receiving 830 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kun Lin China 19 176 174 136 135 130 43 853
Bolin Wang China 13 175 1.0× 365 2.1× 65 0.5× 34 0.3× 46 0.4× 26 1.3k
Vincent L. Freeman United States 21 163 0.9× 180 1.0× 106 0.8× 28 0.2× 55 0.4× 41 1.1k
Wu Yan China 19 327 1.9× 51 0.3× 91 0.7× 166 1.2× 59 0.5× 68 1.1k
Zhiguang Zhao China 15 190 1.1× 92 0.5× 50 0.4× 103 0.8× 69 0.5× 52 690
Sachin Agrawal India 15 100 0.6× 580 3.3× 94 0.7× 62 0.5× 43 0.3× 82 1.1k
Nicola Fitz-Simon Ireland 9 181 1.0× 138 0.8× 37 0.3× 79 0.6× 218 1.7× 12 658
Jie Sheng China 23 273 1.6× 293 1.7× 100 0.7× 423 3.1× 15 0.1× 61 1.6k
Jie Hou China 14 75 0.4× 55 0.3× 83 0.6× 34 0.3× 63 0.5× 29 458
Mengyuan Dai China 19 401 2.3× 107 0.6× 44 0.3× 32 0.2× 46 0.4× 74 874
Yukiko Shimizu Japan 14 60 0.3× 119 0.7× 96 0.7× 57 0.4× 136 1.0× 28 972

Countries citing papers authored by Kun Lin

Since Specialization
Citations

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

Fields of papers citing papers by Kun Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Kun Lin. A scholar is included among the top collaborators of Kun 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 Kun Lin. Kun 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
1.
Cao, Yili, et al.. (2024). Longitudinal zero thermal expansion in Re-Fe (R = Tb, Er) eutectic alloys with high fracture resistance. Microstructures. 4(4). 2024049–2024049.
2.
Zeng, De, Haoyu Lin, Yuling Zhang, et al.. (2020). A negative binomial regression model for risk estimation of 0–2 axillary lymph node metastases in breast cancer patients. Scientific Reports. 10(1). 21856–21856. 3 indexed citations
3.
Guo, Hong, Jianzhou Chen, Tian‐Tian Zhai, et al.. (2020). <p>Intratreatment Tumor Volume Change During Definitive Chemoradiotherapy is Predictive for Treatment Outcome of Patients with Esophageal Carcinoma</p>. Cancer Management and Research. Volume 12. 7331–7339. 5 indexed citations
4.
Jia, Xiaoyue, et al.. (2018). Pancreatic Cancer Mortality in China. Pancreas. 47(2). 233–237. 33 indexed citations
5.
Liu, Lian, Bo Zhang, Kun Lin, et al.. (2017). Thyroid disruption and reduced mental development in children from an informal e-waste recycling area: A mediation analysis. Chemosphere. 193. 498–505. 25 indexed citations
6.
Deng, Long, et al.. (2016). Febuxostat attenuates paroxysmal atrial fibrillation-induced regional endothelial dysfunction. Thrombosis Research. 149. 17–24. 11 indexed citations
7.
Wu, Kusheng, et al.. (2015). Cervical Cancer Mortality Trends in China, 1991-2013, and Predictions for the Future. Asian Pacific Journal of Cancer Prevention. 16(15). 6391–6396. 28 indexed citations
9.
Fang, Jiaying, et al.. (2015). Characteristics and Prediction of Lung Cancer Mortality in China from 1991 to 2013. Asian Pacific Journal of Cancer Prevention. 16(14). 5829–5834. 18 indexed citations
10.
Fang, Jiaying, et al.. (2015). Liver Cancer Mortality Characteristics and Trends in China from 1991 to 2012. Asian Pacific Journal of Cancer Prevention. 16(5). 1959–1964. 17 indexed citations
11.
Fang, Jiaying, Hongli Dong, Bin Xie, et al.. (2015). Colorectal Cancer Mortality Characteristics and Predictions in China, 1991-2011. Asian Pacific Journal of Cancer Prevention. 16(17). 7991–7995. 24 indexed citations
12.
Liang, Zhuo, Lifeng Liu, Xinpei Chen, et al.. (2015). Renal Denervation Suppresses Atrial Fibrillation in a Model of Renal Impairment. PLoS ONE. 10(4). e0124123–e0124123. 27 indexed citations
13.
Zhang, Jingwen, Yue Huang, Xiaoling Wang, Kun Lin, & Kusheng Wu. (2015). Environmental Polychlorinated Biphenyl Exposure and Breast Cancer Risk: A Meta-Analysis of Observational Studies. PLoS ONE. 10(11). e0142513–e0142513. 46 indexed citations
14.
Peng, Lin, Xiaoling Wang, Xia Huo, et al.. (2015). Blood cadmium burden and the risk of nasopharyngeal carcinoma: a case–control study in Chinese Chaoshan population. Environmental Science and Pollution Research. 22(16). 12323–12331. 36 indexed citations
15.
Lin, Kun, et al.. (2014). Development of esophageal cancer in Chaoshan region, China: Association with environmental, genetic and cultural factors. International Journal of Hygiene and Environmental Health. 218(1). 12–18. 54 indexed citations
16.
Shi, Xiaojun, et al.. (2014). Mortality Characteristics and Prediction of Female Breast Cancer in China from 1991 to 2011. Asian Pacific Journal of Cancer Prevention. 15(6). 2785–2791. 36 indexed citations
17.
Guo, Hongyang, et al.. (2014). Relative efficacy and safety of direct oral anticoagulants in patients with atrial fibrillation by network meta-analysis. Journal of Cardiovascular Medicine. 15(12). 873–879. 33 indexed citations
18.
Wu, Xiao, et al.. (2013). Requests for Health Education from Chinese Cancer Patients During Their Recovery Period: a Cross-Sectional Study. Journal of Cancer Education. 28(3). 428–434. 15 indexed citations
19.
Lin, Kun. (2012). Analysis on mortality distribution of female breast cancer in China,1991-2010. Chinese Journal of Disease Control and Prevention. 5 indexed citations
20.
Lin, Kun, Yongning Wu, & Wen‐Ying Shen. (2008). Interaction of total N-nitroso compounds in environment and in vivo on risk of esophageal cancer in the coastal area, China. Environment International. 35(2). 376–381. 15 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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