Ying Yin

48 total papers · 998 total citations
33 papers, 737 citations indexed

About

Ying Yin is a scholar working on Plant Science, Molecular Biology and Pharmacology. According to data from OpenAlex, Ying Yin has authored 33 papers receiving a total of 737 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Plant Science, 14 papers in Molecular Biology and 8 papers in Pharmacology. Recurrent topics in Ying Yin's work include Entomopathogenic Microorganisms in Pest Control (7 papers), Fungal Biology and Applications (6 papers) and Chromosomal and Genetic Variations (4 papers). Ying Yin is often cited by papers focused on Entomopathogenic Microorganisms in Pest Control (7 papers), Fungal Biology and Applications (6 papers) and Chromosomal and Genetic Variations (4 papers). Ying Yin collaborates with scholars based in China, United States and Hong Kong. Ying Yin's co-authors include Y Wang, Jia Chen, Chengshu Wang, Xuechen Wang, Ning‐Yi Zhou, Liquan Zhou, Joseph W. Spatafora, Peng Feng, Kathryn E. Bushley and Guirong Tang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Ying Yin

31 papers receiving 725 citations

Author Peers

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

Author Last Decade Papers Cites
Ying Yin 329 321 133 122 45 33 737
Qianyu Liu 275 0.8× 264 0.8× 90 0.7× 139 1.1× 64 1.4× 33 763
José Guedes de Sena Filho 224 0.7× 396 1.2× 152 1.1× 114 0.9× 19 0.4× 44 717
Patrik Olekšák 367 1.1× 205 0.6× 58 0.4× 35 0.3× 38 0.8× 29 840
Qunfang Weng 257 0.8× 308 1.0× 69 0.5× 192 1.6× 26 0.6× 42 652
Xiaohui Wang 224 0.7× 161 0.5× 133 1.0× 65 0.5× 24 0.5× 43 643
Aly Raïes 273 0.8× 258 0.8× 52 0.4× 57 0.5× 33 0.7× 37 750
Yung‐Lin Chu 329 1.0× 153 0.5× 144 1.1× 42 0.3× 25 0.6× 33 772
Oldriska Ceska 398 1.2× 465 1.4× 78 0.6× 66 0.5× 53 1.2× 30 755
Maria Rosa Felice 250 0.8× 206 0.6× 65 0.5× 32 0.3× 19 0.4× 22 850
Mariusz Trytek 289 0.9× 176 0.5× 76 0.6× 96 0.8× 51 1.1× 42 760

Countries citing papers authored by Ying Yin

Since Specialization
Citations

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

Fields of papers citing papers by Ying Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Yin

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