Tielong Chen

76 total papers · 2.2k total citations
43 papers, 1.1k citations indexed

About

Tielong Chen is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Surgery. According to data from OpenAlex, Tielong Chen has authored 43 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cardiology and Cardiovascular Medicine, 11 papers in Epidemiology and 10 papers in Surgery. Recurrent topics in Tielong Chen's work include COVID-19 Clinical Research Studies (6 papers), Lipoproteins and Cardiovascular Health (6 papers) and Long-Term Effects of COVID-19 (5 papers). Tielong Chen is often cited by papers focused on COVID-19 Clinical Research Studies (6 papers), Lipoproteins and Cardiovascular Health (6 papers) and Long-Term Effects of COVID-19 (5 papers). Tielong Chen collaborates with scholars based in China and United Kingdom. Tielong Chen's co-authors include Yong Xiong, Shicheng Gao, Liping Deng, Yongxi Zhang, Zhiyong Ma, Pingzheng Mo, Shihui Song, Xiaoping Chen, Mingqi Luo and Fan Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Clinical Infectious Diseases and Scientific Reports.

In The Last Decade

Tielong Chen

37 papers receiving 1.1k citations

Hit Papers

Clinical Characteristics ... 2020 2026 2022 2024 2020 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Tielong Chen 612 339 182 147 139 43 1.1k
Jing Bao 655 1.1× 280 0.8× 235 1.3× 265 1.8× 149 1.1× 36 1.4k
Qibin Song 821 1.3× 417 1.2× 223 1.2× 215 1.5× 119 0.9× 26 1.2k
Qian Wang 914 1.5× 455 1.3× 129 0.7× 165 1.1× 135 1.0× 31 1.3k
Haoran Yang 644 1.1× 369 1.1× 165 0.9× 139 0.9× 103 0.7× 26 1.1k
Wei Xu 606 1.0× 254 0.7× 140 0.8× 141 1.0× 144 1.0× 50 1.3k
Juan Wu 679 1.1× 343 1.0× 157 0.9× 105 0.7× 172 1.2× 23 1.1k
Amaal Eman Abdulle 617 1.0× 352 1.0× 112 0.6× 204 1.4× 164 1.2× 34 1.3k
Aiping Yang 654 1.1× 326 1.0× 345 1.9× 207 1.4× 133 1.0× 34 1.2k
Xiaomei Yu 643 1.1× 471 1.4× 266 1.5× 157 1.1× 85 0.6× 37 1.3k
Naibin Yang 450 0.7× 173 0.5× 139 0.8× 188 1.3× 185 1.3× 39 1.0k

Countries citing papers authored by Tielong Chen

Since Specialization
Citations

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

Fields of papers citing papers by Tielong Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tielong Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Tielong Chen. A scholar is included among the top collaborators of Tielong Chen 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 Tielong Chen. Tielong Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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