Kai Bi

39 total papers · 965 total citations
26 papers, 670 citations indexed

About

Kai Bi is a scholar working on Plant Science, Molecular Biology and Complementary and alternative medicine. According to data from OpenAlex, Kai Bi has authored 26 papers receiving a total of 670 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Plant Science, 6 papers in Molecular Biology and 5 papers in Complementary and alternative medicine. Recurrent topics in Kai Bi's work include Plant Disease Resistance and Genetics (12 papers), Plant-Microbe Interactions and Immunity (8 papers) and Plant and Fungal Interactions Research (4 papers). Kai Bi is often cited by papers focused on Plant Disease Resistance and Genetics (12 papers), Plant-Microbe Interactions and Immunity (8 papers) and Plant and Fungal Interactions Research (4 papers). Kai Bi collaborates with scholars based in China, Israel and United States. Kai Bi's co-authors include Amir Sharon, Tesfaye Mengiste, Dàohóng Jiāng, Jiǎtāo Xiè, Zhixiao Gao, Jiāsēn Chéng, Ying Zhao, Yànpíng Fù, Xiaohong Chen and Ronghua Dai and has published in prestigious journals such as Nature Communications, PLoS ONE and Scientific Reports.

In The Last Decade

Kai Bi

23 papers receiving 657 citations

Hit Papers

Killing softly: a roadmap... 2022 2026 2023 2024 2022 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Kai Bi 458 181 94 88 72 26 670
Zhi Liu 371 0.8× 377 2.1× 29 0.3× 44 0.5× 50 0.7× 35 699
Hassan Amra 432 0.9× 99 0.5× 34 0.4× 32 0.4× 44 0.6× 29 756
Edlayne Gonçalez 537 1.2× 176 1.0× 37 0.4× 111 1.3× 34 0.5× 32 773
Petra Mann 264 0.6× 271 1.5× 62 0.7× 29 0.3× 17 0.2× 24 587
M. N. Reddy 262 0.6× 203 1.1× 49 0.5× 47 0.5× 28 0.4× 49 585
M.L. Bouillant 473 1.0× 345 1.9× 33 0.4× 55 0.6× 13 0.2× 29 744
Valeriu Curtui 419 0.9× 68 0.4× 84 0.9× 60 0.7× 40 0.6× 18 574
Weiwei Gao 500 1.1× 240 1.3× 85 0.9× 139 1.6× 50 0.7× 53 746
Luigi De Masi 480 1.0× 221 1.2× 38 0.4× 83 0.9× 33 0.5× 33 779
Angèle N. Tchana 442 1.0× 138 0.8× 57 0.6× 44 0.5× 24 0.3× 22 649

Countries citing papers authored by Kai Bi

Since Specialization
Citations

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

Fields of papers citing papers by Kai Bi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Bi

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