Peng Bai

88 total papers · 3.8k total citations
52 papers, 2.1k citations indexed

About

Peng Bai is a scholar working on Neurology, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Peng Bai has authored 52 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Neurology, 10 papers in Pulmonary and Respiratory Medicine and 9 papers in Molecular Biology. Recurrent topics in Peng Bai's work include Diabetes and associated disorders (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers) and COVID-19 Clinical Research Studies (4 papers). Peng Bai is often cited by papers focused on Diabetes and associated disorders (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers) and COVID-19 Clinical Research Studies (4 papers). Peng Bai collaborates with scholars based in China, United States and India. Peng Bai's co-authors include Jianmin Jin, Xiaofang Liu, Fei Wu, Jin‐Kui Yang, Wei He, Shi Liu, De-min Han, Yongchang Sun, T. Jacob John and Ran Li and has published in prestigious journals such as Advanced Functional Materials, Scientific Reports and The Journal of Pediatrics.

In The Last Decade

Peng Bai

43 papers receiving 2.0k citations

Hit Papers

Gender Differences in Pat... 2020 2026 2022 2024 2020 400 800 1.2k

Author Peers

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

Author Last Decade Papers Cites
Peng Bai 945 496 371 234 226 52 2.1k
Jianmin Jin 933 1.0× 366 0.7× 340 0.9× 231 1.0× 362 1.6× 36 2.0k
Xiaofang Liu 911 1.0× 347 0.7× 330 0.9× 236 1.0× 391 1.7× 39 1.9k
De-min Han 880 0.9× 350 0.7× 321 0.9× 233 1.0× 103 0.5× 26 1.8k
Ke Wang 1.4k 1.5× 679 1.4× 428 1.2× 194 0.8× 226 1.0× 30 2.2k
Weiliang Tang 1.1k 1.1× 536 1.1× 507 1.4× 209 0.9× 303 1.3× 33 2.4k
Fang Peng 1.1k 1.2× 544 1.1× 494 1.3× 210 0.9× 410 1.8× 84 2.5k
Jingjing Zhao 1.0k 1.1× 531 1.1× 431 1.2× 238 1.0× 130 0.6× 33 1.7k
Dilek Azkur 1.2k 1.3× 572 1.2× 237 0.6× 135 0.6× 192 0.8× 31 2.0k
Qinyong Hu 1.6k 1.7× 842 1.7× 496 1.3× 182 0.8× 278 1.2× 35 2.5k
Ying Zhou 1.4k 1.5× 693 1.4× 531 1.4× 218 0.9× 562 2.5× 72 2.8k

Countries citing papers authored by Peng Bai

Since Specialization
Citations

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

Fields of papers citing papers by Peng Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Bai

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