Sheng Lu

37 total papers · 1.1k total citations
26 papers, 659 citations indexed

About

Sheng Lu is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Sheng Lu has authored 26 papers receiving a total of 659 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Genetics and 7 papers in Immunology. Recurrent topics in Sheng Lu's work include Genetic and phenotypic traits in livestock (4 papers), Genetic diversity and population structure (4 papers) and Aquaculture Nutrition and Growth (3 papers). Sheng Lu is often cited by papers focused on Genetic and phenotypic traits in livestock (4 papers), Genetic diversity and population structure (4 papers) and Aquaculture Nutrition and Growth (3 papers). Sheng Lu collaborates with scholars based in China, United States and Switzerland. Sheng Lu's co-authors include Haojie Zhang, Qian Gao, Yang Li, Xiuhong Zhang, Maosheng Cheng, Quan Yuan, Yu Liang, Mingqing Wu, Fengyu Zhu and Qiuchan Xiong and has published in prestigious journals such as SHILAP Revista de lepidopterología, Immunity and PLoS ONE.

In The Last Decade

Sheng Lu

24 papers receiving 655 citations

Hit Papers

The m6A methyltransferase... 2019 2026 2021 2023 2019 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Sheng Lu 439 240 99 90 74 26 659
Xu‐Sheng Liu 378 0.9× 156 0.7× 24 0.2× 191 2.1× 61 0.8× 42 624
Wenjie Luo 277 0.6× 160 0.7× 29 0.3× 81 0.9× 174 2.4× 39 582
Wujiao Li 240 0.5× 126 0.5× 98 1.0× 52 0.6× 205 2.8× 29 600
Junji Itou 609 1.4× 99 0.4× 175 1.8× 51 0.6× 96 1.3× 28 778
Fengchao Lang 414 0.9× 190 0.8× 47 0.5× 99 1.1× 150 2.0× 30 703
Per Arne Andresen 150 0.3× 85 0.4× 80 0.8× 19 0.2× 267 3.6× 24 555
Hong Xin 431 1.0× 156 0.7× 44 0.4× 97 1.1× 90 1.2× 22 616
Klavs Dolmer 320 0.7× 155 0.6× 37 0.4× 177 2.0× 52 0.7× 28 636
Zhihua Kang 369 0.8× 63 0.3× 50 0.5× 77 0.9× 114 1.5× 34 776
Natalia Pinello 649 1.5× 182 0.8× 51 0.5× 80 0.9× 38 0.5× 15 765

Countries citing papers authored by Sheng Lu

Since Specialization
Citations

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

Fields of papers citing papers by Sheng Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheng Lu

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