Yunlong Qin

32 total papers · 445 total citations
28 papers, 272 citations indexed

About

Yunlong Qin is a scholar working on Nephrology, Molecular Biology and Epidemiology. According to data from OpenAlex, Yunlong Qin has authored 28 papers receiving a total of 272 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Nephrology, 14 papers in Molecular Biology and 5 papers in Epidemiology. Recurrent topics in Yunlong Qin's work include Chronic Kidney Disease and Diabetes (7 papers), Dialysis and Renal Disease Management (7 papers) and Renal Diseases and Glomerulopathies (6 papers). Yunlong Qin is often cited by papers focused on Chronic Kidney Disease and Diabetes (7 papers), Dialysis and Renal Disease Management (7 papers) and Renal Diseases and Glomerulopathies (6 papers). Yunlong Qin collaborates with scholars based in China. Yunlong Qin's co-authors include Yuwei Wang, Shiren Sun, Xiaoxuan Ning, Jin Zhao, Yumeng Zhang, Ming Bai, Yumeng Zhang, Shuxian Guo, Mei Han and Jin Zhao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Society of Nephrology and Frontiers in Immunology.

In The Last Decade

Yunlong Qin

23 papers receiving 272 citations

Author Peers

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

Author Last Decade Papers Cites
Yunlong Qin 138 79 79 36 22 28 272
Chuan Zou 159 1.2× 97 1.2× 73 0.9× 17 0.5× 31 1.4× 23 315
Márcia Ribeiro 112 0.8× 43 0.5× 43 0.5× 15 0.4× 7 0.3× 38 310
Liling Xie 135 1.0× 44 0.6× 94 1.2× 25 0.7× 10 0.5× 25 304
Shokouh Shayanpour 85 0.6× 117 1.5× 51 0.6× 38 1.1× 9 0.4× 27 326
Hirotaka Furuhashi 116 0.8× 16 0.2× 34 0.4× 79 2.2× 21 1.0× 21 301
Yanfang Luo 105 0.8× 66 0.8× 60 0.8× 23 0.6× 5 0.2× 30 295
Metin Uyanık 75 0.5× 40 0.5× 82 1.0× 24 0.7× 4 0.2× 24 314
Muhammad Zubair Israr 112 0.8× 10 0.1× 90 1.1× 21 0.6× 21 1.0× 24 311
Qingqing Song 144 1.0× 41 0.5× 19 0.2× 32 0.9× 4 0.2× 22 293
Elena Rusu 54 0.4× 28 0.4× 41 0.5× 86 2.4× 9 0.4× 39 291

Countries citing papers authored by Yunlong Qin

Since Specialization
Citations

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

Fields of papers citing papers by Yunlong Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunlong Qin

This figure shows the co-authorship network connecting the top 25 collaborators of Yunlong Qin. A scholar is included among the top collaborators of Yunlong Qin 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 Yunlong Qin. Yunlong Qin 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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