Bailin Liang

46 total papers · 1.1k total citations
34 papers, 830 citations indexed

About

Bailin Liang is a scholar working on Immunology, Nutrition and Dietetics and Virology. According to data from OpenAlex, Bailin Liang has authored 34 papers receiving a total of 830 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Immunology, 8 papers in Nutrition and Dietetics and 6 papers in Virology. Recurrent topics in Bailin Liang's work include Immune Cell Function and Interaction (10 papers), T-cell and B-cell Immunology (7 papers) and Vitamin C and Antioxidants Research (6 papers). Bailin Liang is often cited by papers focused on Immune Cell Function and Interaction (10 papers), T-cell and B-cell Immunology (7 papers) and Vitamin C and Antioxidants Research (6 papers). Bailin Liang collaborates with scholars based in United States. Bailin Liang's co-authors include Ronald R. Watson, Mark J. Mamula, Douglas L. Park, Don E. Griswold, Peter J. Bugelski, Sussan Kaboudanian Ardestani, Yuejian Wang, Michael Kashgarian, Arlene H. Sharpe and Dennis S. Huang and has published in prestigious journals such as The Journal of Immunology, The FASEB Journal and Journal of Nutrition.

In The Last Decade

Bailin Liang

34 papers receiving 797 citations

Author Peers

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

Author Last Decade Papers Cites
Bailin Liang 382 207 155 95 79 34 830
A. Betts Carpenter 252 0.7× 205 1.0× 183 1.2× 73 0.8× 79 1.0× 34 967
Francisco Blanco-Favéla 449 1.2× 238 1.1× 201 1.3× 57 0.6× 89 1.1× 51 989
Blake M. Warner 151 0.4× 69 0.3× 312 2.0× 60 0.6× 176 2.2× 61 1.0k
Ágnes Koncz 390 1.0× 276 1.3× 313 2.0× 50 0.5× 97 1.2× 19 952
Haiting Wang 338 0.9× 169 0.8× 216 1.4× 37 0.4× 62 0.8× 37 761
Bernadette White 206 0.5× 79 0.4× 156 1.0× 38 0.4× 33 0.4× 26 741
T Shimamura 234 0.6× 39 0.2× 258 1.7× 71 0.7× 68 0.9× 40 1.0k
Paul W. Johns 107 0.3× 102 0.5× 187 1.2× 98 1.0× 16 0.2× 40 753
Svetlana N. Zykova 228 0.6× 175 0.8× 214 1.4× 40 0.4× 44 0.6× 29 954
M.L. Castellani 457 1.2× 74 0.4× 217 1.4× 26 0.3× 174 2.2× 54 1.0k

Countries citing papers authored by Bailin Liang

Since Specialization
Citations

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

Fields of papers citing papers by Bailin Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bailin Liang

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