Baikang Pei

32 total papers · 16.9k total citations
13 papers, 575 citations indexed

About

Baikang Pei is a scholar working on Molecular Biology, Artificial Intelligence and Plant Science. According to data from OpenAlex, Baikang Pei has authored 13 papers receiving a total of 575 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 3 papers in Artificial Intelligence and 2 papers in Plant Science. Recurrent topics in Baikang Pei's work include Gene Regulatory Network Analysis (7 papers), Gene expression and cancer classification (7 papers) and Bioinformatics and Genomic Networks (6 papers). Baikang Pei is often cited by papers focused on Gene Regulatory Network Analysis (7 papers), Gene expression and cancer classification (7 papers) and Bioinformatics and Genomic Networks (6 papers). Baikang Pei collaborates with scholars based in United States, United Kingdom and Russia. Baikang Pei's co-authors include Patrick Ryan Potts, Seung Wook Yang, Jaeki Min, Mark Gerstein, Suganthi Balasubramanian, Lukas Habegger, Jennifer Harrow, Rachel Harte, Tim Hubbard and Mark Diekhans and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Chemical Society Reviews and Genome Research.

In The Last Decade

Baikang Pei

13 papers receiving 567 citations

Hit Papers

Target and tissue selecti... 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
Baikang Pei 509 123 85 78 65 13 575
Kazutsune Yamagata 473 0.9× 112 0.9× 80 0.9× 77 1.0× 48 0.7× 21 536
Hong Ooi 579 1.1× 199 1.6× 94 1.1× 33 0.4× 58 0.9× 9 681
Karin M. Greulich‐Bode 352 0.7× 61 0.5× 86 1.0× 104 1.3× 63 1.0× 20 520
Hannah Williams 523 1.0× 77 0.6× 78 0.9× 39 0.5× 72 1.1× 15 692
Jairo Rodríguez 547 1.1× 85 0.7× 66 0.8× 65 0.8× 83 1.3× 13 611
K. Burkhart-Schultz 445 0.9× 190 1.5× 57 0.7× 121 1.6× 149 2.3× 15 576
Veronika I. Zabarovska 511 1.0× 146 1.2× 99 1.2× 46 0.6× 88 1.4× 19 638
Mary Truscott 420 0.8× 179 1.5× 78 0.9× 35 0.4× 59 0.9× 12 538
Hitomi Nishio 492 1.0× 39 0.3× 47 0.6× 76 1.0× 99 1.5× 9 553
Adrian T. Grzybowski 471 0.9× 85 0.7× 34 0.4× 29 0.4× 39 0.6× 13 531

Countries citing papers authored by Baikang Pei

Since Specialization
Citations

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

Fields of papers citing papers by Baikang Pei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baikang Pei

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