Huixing Wu

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

About

Huixing Wu is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Microbiology. According to data from OpenAlex, Huixing Wu has authored 21 papers receiving a total of 830 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Pulmonary and Respiratory Medicine, 9 papers in Molecular Biology and 5 papers in Microbiology. Recurrent topics in Huixing Wu's work include Neonatal Respiratory Health Research (12 papers), Inhalation and Respiratory Drug Delivery (7 papers) and Influenza Virus Research Studies (3 papers). Huixing Wu is often cited by papers focused on Neonatal Respiratory Health Research (12 papers), Inhalation and Respiratory Drug Delivery (7 papers) and Influenza Virus Research Studies (3 papers). Huixing Wu collaborates with scholars based in United States, China and Poland. Huixing Wu's co-authors include Francis X. McCormack, Alexander I. Kuzmenko, Alison A. Weiss, James H. Fisher, Kwang Sik Kim, Reta S. Gibbons, George S. Deepe, Michael J. Rynkiewicz, Barbara A. Seaton and Marnie A. Ryan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Huixing Wu

20 papers receiving 811 citations

Author Peers

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

Author						Papers	Cites
Huixing Wu	475	201	198	151	116	21	830
Barbara J. Zeligs	182 0.4×	243 1.2×	101 0.5×	159 1.1×	139 1.2×	36	769
S. Suter	413 0.9×	113 0.6×	159 0.8×	201 1.3×	61 0.5×	27	807
Maria Ohara	271 0.6×	197 1.0×	399 2.0×	175 1.2×	139 1.2×	20	951
Gary P. Naegel	552 1.2×	174 0.9×	127 0.6×	162 1.1×	51 0.4×	19	887
George C. Saunders	289 0.6×	207 1.0×	203 1.0×	82 0.5×	27 0.2×	21	867
Mukesh Kumar	279 0.6×	224 1.1×	155 0.8×	387 2.6×	20 0.2×	22	839
Rajamouli Pasula	215 0.5×	232 1.2×	170 0.9×	313 2.1×	37 0.3×	27	798
Tonatiuh Melgarejo	114 0.2×	134 0.7×	157 0.8×	131 0.9×	115 1.0×	42	786
Jennifer A. Bartlett	248 0.5×	335 1.7×	381 1.9×	126 0.8×	452 3.9×	20	1.0k
Valerie S. James	137 0.3×	85 0.4×	68 0.3×	317 2.1×	98 0.8×	31	720

Countries citing papers authored by Huixing Wu

Since Specialization

Citations

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

Fields of papers citing papers by Huixing Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huixing Wu

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