Lanying Zhao

53 total papers · 773 total citations
21 papers, 321 citations indexed

About

Lanying Zhao is a scholar working on Molecular Biology, Genetics and Biotechnology. According to data from OpenAlex, Lanying Zhao has authored 21 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Genetics and 4 papers in Biotechnology. Recurrent topics in Lanying Zhao's work include Cancer Research and Treatments (4 papers), Virus-based gene therapy research (4 papers) and Physiological and biochemical adaptations (2 papers). Lanying Zhao is often cited by papers focused on Cancer Research and Treatments (4 papers), Virus-based gene therapy research (4 papers) and Physiological and biochemical adaptations (2 papers). Lanying Zhao collaborates with scholars based in China, Japan and Sweden. Lanying Zhao's co-authors include Jianping Jiang, Lusha Liu, Delin Qi, Anastasia Gulyaeva, Mākoto Ishibashi, Chao Yan, Kohei Shiota, Xinquan Zhao, Geraldine Mulley and Songchang Guo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and PLoS ONE.

In The Last Decade

Lanying Zhao

19 papers receiving 317 citations

Author Peers

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

Author Last Decade Papers Cites
Lanying Zhao 125 90 53 46 45 21 321
Kenyon S. Tweedell 103 0.8× 49 0.5× 13 0.2× 41 0.9× 28 0.6× 29 293
António Pombinho 164 1.3× 33 0.4× 17 0.3× 5 0.1× 21 0.5× 18 352
G Kelényi 54 0.4× 14 0.2× 48 0.9× 13 0.3× 25 0.6× 41 333
Jessica McKenzie 68 0.5× 67 0.7× 7 0.1× 38 0.8× 62 1.4× 23 307
Shady Younis 187 1.5× 66 0.7× 43 0.8× 12 0.3× 8 0.2× 21 335
Juan Daniel Claus 172 1.4× 47 0.5× 105 2.0× 73 1.6× 20 0.4× 19 357
William D. Gude 78 0.6× 29 0.3× 9 0.2× 12 0.3× 43 1.0× 20 309
David E. Joyner 60 0.5× 14 0.2× 34 0.6× 5 0.1× 153 3.4× 37 345
Katherine A. Brakora 187 1.5× 55 0.6× 22 0.4× 14 0.3× 35 0.8× 11 347
Raquel Cabezón 60 0.5× 45 0.5× 13 0.2× 33 0.7× 6 0.1× 14 361

Countries citing papers authored by Lanying Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Lanying Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lanying Zhao

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