Na Bai

15 total papers · 434 total citations
12 papers, 343 citations indexed

About

Na Bai is a scholar working on Sociology and Political Science, Statistical and Nonlinear Physics and Molecular Biology. According to data from OpenAlex, Na Bai has authored 12 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Sociology and Political Science, 4 papers in Statistical and Nonlinear Physics and 3 papers in Molecular Biology. Recurrent topics in Na Bai's work include Misinformation and Its Impacts (4 papers), Probiotics and Fermented Foods (3 papers) and Complex Network Analysis Techniques (3 papers). Na Bai is often cited by papers focused on Misinformation and Its Impacts (4 papers), Probiotics and Fermented Foods (3 papers) and Complex Network Analysis Techniques (3 papers). Na Bai collaborates with scholars based in China and India. Na Bai's co-authors include G. Seghal Kiran, Thangavelu Thayumanavan, Joseph Selvin, Zhixiao Wang, Xiaobin Rui, Jie Yu, Wenjun Liu, Heping Zhang, Gelan Yang and Hongmei Wang and has published in prestigious journals such as IEEE Access, Journal of Dairy Science and Frontiers in Microbiology.

In The Last Decade

Na Bai

12 papers receiving 327 citations

Author Peers

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

Author Last Decade Papers Cites
Na Bai 115 99 58 48 44 12 343
Sonja Bauer 31 0.3× 46 0.5× 7 0.1× 22 0.5× 18 0.4× 20 390
Yirong Sun 32 0.3× 161 1.6× 11 0.2× 19 0.4× 2 0.0× 25 362
Sónia Carneiro 26 0.2× 308 3.1× 19 0.3× 46 1.0× 7 0.2× 27 390
Robert H. Bordner 84 0.7× 50 0.5× 82 1.4× 21 0.4× 4 0.1× 17 349
Esmée M. Janssen 162 1.4× 101 1.0× 10 0.2× 8 0.2× 12 0.3× 9 372
Moza Al‐Busaidi 59 0.5× 46 0.5× 4 0.1× 23 0.5× 15 0.3× 11 318
James Nicholas Furze 43 0.4× 49 0.5× 5 0.1× 21 0.4× 7 0.2× 31 350
Suryanarayana Murty Upadhyayula 44 0.4× 85 0.9× 33 0.6× 5 0.1× 9 0.2× 15 377
Antonia Mattia 101 0.9× 94 0.9× 15 0.3× 22 0.5× 1 0.0× 11 394
Ana Lučić 37 0.3× 45 0.5× 8 0.1× 8 0.2× 2 0.0× 35 393

Countries citing papers authored by Na Bai

Since Specialization
Citations

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

Fields of papers citing papers by Na Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Na Bai

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