Wei Yin

30 total papers · 847 total citations
22 papers, 648 citations indexed

About

Wei Yin is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Oncology. According to data from OpenAlex, Wei Yin has authored 22 papers receiving a total of 648 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pulmonary and Respiratory Medicine, 6 papers in Molecular Biology and 6 papers in Oncology. Recurrent topics in Wei Yin's work include Animal Virus Infections Studies (5 papers), Lung Cancer Treatments and Mutations (5 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). Wei Yin is often cited by papers focused on Animal Virus Infections Studies (5 papers), Lung Cancer Treatments and Mutations (5 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). Wei Yin collaborates with scholars based in China, United States and United Kingdom. Wei Yin's co-authors include Michael D. Wetzel, Lon D. Ridgway, Dario Marchetti, Morris D. Groves, J. Clay Goodman, Lixin Zhang, Disha Kumar, Jason A. Ngo, Panpan Sun and Yaogui Sun and has published in prestigious journals such as PLoS ONE, Cancer Research and Scientific Reports.

In The Last Decade

Wei Yin

20 papers receiving 645 citations

Hit Papers

The Identification and Ch... 2013 2026 2017 2021 2013 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Wei Yin 430 274 212 168 119 22 648
Hyang Sook Seol 287 0.7× 228 0.8× 326 1.5× 98 0.6× 77 0.6× 22 752
Djamila Ouaret 281 0.7× 148 0.5× 277 1.3× 140 0.8× 59 0.5× 15 582
Xiaochun Zhang 287 0.7× 98 0.4× 237 1.1× 154 0.9× 34 0.3× 33 612
Diego Serrano 276 0.6× 159 0.6× 408 1.9× 136 0.8× 46 0.4× 25 743
Zhenzhen Xu 213 0.5× 177 0.6× 265 1.3× 71 0.4× 58 0.5× 28 565
Tze‐Sian Chan 276 0.6× 170 0.6× 375 1.8× 91 0.5× 26 0.2× 22 625
Sahar Safaei 281 0.7× 181 0.7× 341 1.6× 102 0.6× 97 0.8× 31 708
Min Pan 211 0.5× 147 0.5× 329 1.6× 59 0.4× 63 0.5× 34 598
Jonas J. Staudacher 320 0.7× 153 0.6× 359 1.7× 93 0.6× 38 0.3× 24 690
Timo Hillebrand 384 0.9× 151 0.6× 284 1.3× 91 0.5× 31 0.3× 16 651

Countries citing papers authored by Wei Yin

Since Specialization
Citations

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

Fields of papers citing papers by Wei Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Yin

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