Guannan Bai

108 total papers · 1.1k total citations
64 papers, 550 citations indexed

About

Guannan Bai is a scholar working on Pulmonary and Respiratory Medicine, Public Health, Environmental and Occupational Health and Surgery. According to data from OpenAlex, Guannan Bai has authored 64 papers receiving a total of 550 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Pulmonary and Respiratory Medicine, 10 papers in Public Health, Environmental and Occupational Health and 9 papers in Surgery. Recurrent topics in Guannan Bai's work include Maternal Mental Health During Pregnancy and Postpartum (6 papers), Attention Deficit Hyperactivity Disorder (4 papers) and Neonatal Respiratory Health Research (4 papers). Guannan Bai is often cited by papers focused on Maternal Mental Health During Pregnancy and Postpartum (6 papers), Attention Deficit Hyperactivity Disorder (4 papers) and Neonatal Respiratory Health Research (4 papers). Guannan Bai collaborates with scholars based in China, Netherlands and United Kingdom. Guannan Bai's co-authors include Hein Raat, Ida J. Korfage, Eva Mautner, Jeanne M. Landgraf, Vincent W. V. Jaddoe, Yufeng Wang, Li Yang, Wenyi Niu, Lidan Hu and Esther Hafkamp‐de Groen and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Guannan Bai

46 papers receiving 534 citations

Author Peers

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

Author Last Decade Papers Cites
Guannan Bai 145 116 90 89 77 64 550
Nichole Nidey 201 1.4× 116 1.0× 59 0.7× 113 1.3× 23 0.3× 48 607
Phuong Lien Tran 70 0.5× 109 0.9× 189 2.1× 65 0.7× 70 0.9× 47 530
Anaelena Bragança de Moraes 120 0.8× 162 1.4× 88 1.0× 51 0.6× 57 0.7× 66 614
Adi Eldar‐Lissai 139 1.0× 80 0.7× 42 0.5× 64 0.7× 68 0.9× 31 599
Maiko Suto 193 1.3× 119 1.0× 104 1.2× 111 1.2× 53 0.7× 34 456
Meredith Loveless 183 1.3× 60 0.5× 33 0.4× 132 1.5× 64 0.8× 29 469
Mehmet Sühha Bostancı 111 0.8× 59 0.5× 32 0.4× 141 1.6× 37 0.5× 72 605
Perran Boran 77 0.5× 93 0.8× 90 1.0× 115 1.3× 32 0.4× 60 533
K. R. Sundaram 78 0.5× 152 1.3× 94 1.0× 36 0.4× 37 0.5× 58 537
Rosediani Muhamad 107 0.7× 54 0.5× 86 1.0× 89 1.0× 96 1.2× 71 575

Countries citing papers authored by Guannan Bai

Since Specialization
Citations

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

Fields of papers citing papers by Guannan Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guannan Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Guannan Bai. A scholar is included among the top collaborators of Guannan 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 Guannan Bai. Guannan 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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2026