Gao Bi-da

56 total papers · 753 total citations
28 papers, 514 citations indexed

About

Gao Bi-da is a scholar working on Plant Science, Molecular Biology and Insect Science. According to data from OpenAlex, Gao Bi-da has authored 28 papers receiving a total of 514 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Plant Science, 14 papers in Molecular Biology and 7 papers in Insect Science. Recurrent topics in Gao Bi-da's work include Plant Virus Research Studies (10 papers), Plant and Fungal Interactions Research (6 papers) and Plant Disease Resistance and Genetics (6 papers). Gao Bi-da is often cited by papers focused on Plant Virus Research Studies (10 papers), Plant and Fungal Interactions Research (6 papers) and Plant Disease Resistance and Genetics (6 papers). Gao Bi-da collaborates with scholars based in China, United States and Singapore. Gao Bi-da's co-authors include Jie Zhong, Chunmei Ren, Peng Wen, Daoxin Xie, Qi Zhu, Hong‐Jian Zhu, Xingyao Xiong, Ying Huang, Zhihong Peng and Pascal Genschik and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLANT PHYSIOLOGY and The Plant Journal.

In The Last Decade

Gao Bi-da

28 papers receiving 507 citations

Author Peers

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

Author Last Decade Papers Cites
Gao Bi-da 432 181 136 118 58 28 514
E.T.M. Meekes 419 1.0× 84 0.5× 137 1.0× 122 1.0× 119 2.1× 24 487
Guogen Yang 488 1.1× 119 0.7× 66 0.5× 125 1.1× 126 2.2× 32 547
Yannong Xiao 399 0.9× 80 0.4× 72 0.5× 45 0.4× 80 1.4× 26 480
Guoping Wang 475 1.1× 119 0.7× 88 0.6× 298 2.5× 109 1.9× 38 572
Kiran R. Gadhave 472 1.1× 98 0.5× 207 1.5× 67 0.6× 13 0.2× 28 556
G. A. Barthe 468 1.1× 178 1.0× 86 0.6× 92 0.8× 39 0.7× 26 559
Hisashi Iwai 408 0.9× 133 0.7× 57 0.4× 54 0.5× 111 1.9× 51 464
Niraj Agarwala 418 1.0× 194 1.1× 29 0.2× 48 0.4× 54 0.9× 38 551
Anthony P. James 494 1.1× 196 1.1× 43 0.3× 71 0.6× 58 1.0× 32 574
Suvi Sutela 447 1.0× 166 0.9× 38 0.3× 238 2.0× 69 1.2× 28 525

Countries citing papers authored by Gao Bi-da

Since Specialization
Citations

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

Fields of papers citing papers by Gao Bi-da

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gao Bi-da

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