Yawei Gao

13 total papers · 644 total citations
10 papers, 414 citations indexed

About

Yawei Gao is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Yawei Gao has authored 10 papers receiving a total of 414 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Genetics and 2 papers in Plant Science. Recurrent topics in Yawei Gao's work include Animal Genetics and Reproduction (4 papers), CRISPR and Genetic Engineering (4 papers) and Genetics, Aging, and Longevity in Model Organisms (1 paper). Yawei Gao is often cited by papers focused on Animal Genetics and Reproduction (4 papers), CRISPR and Genetic Engineering (4 papers) and Genetics, Aging, and Longevity in Model Organisms (1 paper). Yawei Gao collaborates with scholars based in China, Egypt and Germany. Yawei Gao's co-authors include Vincent Sauveplane, Rochus Franke, Ping Zhang, Liang Chen, Wanqi Liang, Franck Pinot, Dabing Zhang, Hui Li, Danièle Werck‐Reichhart and Lukas Schreiber and has published in prestigious journals such as The Plant Cell, Journal of Agricultural and Food Chemistry and Journal of Animal Science.

In The Last Decade

Yawei Gao

8 papers receiving 406 citations

Author Peers

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

Author Last Decade Papers Cites
Yawei Gao 327 279 80 30 20 10 414
Neeta Lohani 287 0.9× 347 1.2× 32 0.4× 40 1.3× 16 0.8× 12 465
Marc J. Champigny 244 0.7× 318 1.1× 51 0.6× 29 1.0× 11 0.6× 17 446
Ajay Sandhu 292 0.9× 356 1.3× 100 1.3× 7 0.2× 15 0.8× 8 488
Huasheng Ma 224 0.7× 341 1.2× 71 0.9× 10 0.3× 18 0.9× 13 458
Hongbo Tang 335 1.0× 318 1.1× 49 0.6× 29 1.0× 10 0.5× 17 452
T. A. Kiesselbach 208 0.6× 374 1.3× 80 1.0× 36 1.2× 86 4.3× 8 449
Jyothi Rajagopal 331 1.0× 321 1.2× 98 1.2× 17 0.6× 9 0.5× 7 452
Filomena Giorno 263 0.8× 325 1.2× 27 0.3× 33 1.1× 18 0.9× 7 406
Kostlend Mara 314 1.0× 223 0.8× 38 0.5× 18 0.6× 6 0.3× 11 403
Achala Bakshi 250 0.8× 364 1.3× 27 0.3× 18 0.6× 8 0.4× 18 433

Countries citing papers authored by Yawei Gao

Since Specialization
Citations

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

Fields of papers citing papers by Yawei Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yawei Gao

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