Baisong Huang

12 total papers · 972 total citations
8 papers, 733 citations indexed

About

Baisong Huang is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Baisong Huang has authored 8 papers receiving a total of 733 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Pulmonary and Respiratory Medicine and 2 papers in Epidemiology. Recurrent topics in Baisong Huang's work include Genetic Associations and Epidemiology (1 paper), Genomics, phytochemicals, and oxidative stress (1 paper) and Systemic Lupus Erythematosus Research (1 paper). Baisong Huang is often cited by papers focused on Genetic Associations and Epidemiology (1 paper), Genomics, phytochemicals, and oxidative stress (1 paper) and Systemic Lupus Erythematosus Research (1 paper). Baisong Huang collaborates with scholars based in United States, Canada and China. Baisong Huang's co-authors include David J. Glass, Giuseppe Del Giudice, Nicholas M. Valiante, Michael A. Lonetto, Lloyd B. Klickstein, Holden T. Maecker, Simon Carson, Maria Lattanzi, Jens Præstgaard and Joan B. Mannick and has published in prestigious journals such as Journal of Clinical Investigation, Journal of Clinical Oncology and Science Translational Medicine.

In The Last Decade

Baisong Huang

7 papers receiving 725 citations

Hit Papers

mTOR inhibition improves ... 2014 2026 2018 2022 2014 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Baisong Huang 216 186 166 166 125 8 733
Simon Carson 194 0.9× 171 0.9× 161 1.0× 166 1.0× 27 0.2× 8 643
Ailing Xue 353 1.6× 159 0.9× 256 1.5× 45 0.3× 76 0.6× 13 802
Gabriela Desdín-Micó 405 1.9× 320 1.7× 174 1.0× 52 0.3× 68 0.5× 11 909
Camila Rosat Consiglio 166 0.8× 250 1.3× 198 1.2× 38 0.2× 42 0.3× 11 623
Oliver Devine 185 0.9× 434 2.3× 256 1.5× 43 0.3× 35 0.3× 14 831
Rebecca Lane 566 2.6× 291 1.6× 92 0.6× 72 0.4× 34 0.3× 8 766
Elizabeth A. Oczypok 149 0.7× 168 0.9× 157 0.9× 38 0.2× 242 1.9× 14 651
Manuel M. Gómez de las Heras 219 1.0× 244 1.3× 118 0.7× 21 0.1× 42 0.3× 7 652
Elisa Forti 148 0.7× 378 2.0× 73 0.4× 42 0.3× 50 0.4× 11 787
Xiaoyong Ge 272 1.3× 217 1.2× 84 0.5× 23 0.1× 91 0.7× 20 677

Countries citing papers authored by Baisong Huang

Since Specialization
Citations

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

Fields of papers citing papers by Baisong Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baisong Huang

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