Chunzi Huang

29 total papers · 2.7k total citations
14 papers, 1.5k citations indexed

About

Chunzi Huang is a scholar working on Molecular Biology, Immunology and Epidemiology. According to data from OpenAlex, Chunzi Huang has authored 14 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Immunology and 4 papers in Epidemiology. Recurrent topics in Chunzi Huang's work include HIV Research and Treatment (3 papers), Respiratory viral infections research (2 papers) and Influenza Virus Research Studies (2 papers). Chunzi Huang is often cited by papers focused on HIV Research and Treatment (3 papers), Respiratory viral infections research (2 papers) and Influenza Virus Research Studies (2 papers). Chunzi Huang collaborates with scholars based in United States, China and United Kingdom. Chunzi Huang's co-authors include Sang‐Moo Kang, Richard W. Compans, William J. Kaiser, John Bertin, Edward S. Mocarski, Pratyusha Mandal, Peter J. Gough, Fu‐Shi Quan, Haripriya Sridharan and Clark A. Sehon and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Oncology.

In The Last Decade

Chunzi Huang

13 papers receiving 1.5k citations

Hit Papers

Toll-like Receptor 3-medi... 2013 2026 2017 2021 2013 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Chunzi Huang 941 709 426 203 135 14 1.5k
C. de Taisne 884 0.9× 581 0.8× 271 0.6× 192 0.9× 144 1.1× 16 1.7k
Tamar Ben-Yedidia 909 1.0× 459 0.6× 492 1.2× 199 1.0× 236 1.7× 26 1.6k
Michael E. Kamarck 619 0.7× 486 0.7× 390 0.9× 202 1.0× 160 1.2× 29 1.7k
Lauri D. Aicher 671 0.7× 427 0.6× 495 1.2× 150 0.7× 144 1.1× 20 1.5k
Yingpu Yu 1.1k 1.2× 492 0.7× 219 0.5× 266 1.3× 94 0.7× 18 1.8k
Alessandra Giodini 900 1.0× 864 1.2× 287 0.7× 133 0.7× 346 2.6× 12 1.7k
Liesl Nottingham 518 0.6× 692 1.0× 208 0.5× 117 0.6× 217 1.6× 20 1.2k
Ralph F. Hopkins 571 0.6× 661 0.9× 397 0.9× 228 1.1× 493 3.7× 22 1.8k
Ratan K. Maitra 994 1.1× 392 0.6× 218 0.5× 224 1.1× 167 1.2× 27 1.6k
Tobi G. Maguire 595 0.6× 315 0.4× 763 1.8× 140 0.7× 136 1.0× 22 1.6k

Countries citing papers authored by Chunzi Huang

Since Specialization
Citations

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

Fields of papers citing papers by Chunzi Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chunzi Huang

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