Guoshun Wang

3.8k citations
74 papers · 3.1k · h-index 29

Impact in

Papers in

Guoshun Wang

70 papers receiving 3.0k citations

Peers

Guoshun Wang
Comparison fields: 5 of 151
  • Immunology 637
  • Pulmonary and Respiratory Medicine 844
  • Cancer Research 326
  • Genetics 193
  • Genetics 481
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Nan Tang China
Jeffrey M. Beekman Netherlands
Qing Zhang China
Ying Wang China
Hiroyoshi Ota Japan
Kazuo Maruyama Japan
Felix Lasitschka Germany
Jeffrey A. Kern United States
JeanMarie Houghton United States
Dimitri Monos United States
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Citations per field
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Citations per year

Countries citing papers authored by Guoshun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Guoshun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Guoshun Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Guoshun Wang Line = papers co-authored together Guoshun Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001362
2 2014287
3 2006223
4 2004221
5 1999135
6 2000123
7 2008118
8 200494
9 199886
10 200480
11 201073
12 201973
13 201369
14
Replication of an adenoviral vector controlled by the human telomerase reverse transcriptase promoter causes tumor-selective tumor lysis.
200364
15 200059
16 199956
17 200754
18 200754
19 201448
20 201247

About Guoshun Wang

Guoshun Wang is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Immunology, Genetics and Epidemiology, having authored 74 papers that have together received 3.1k indexed citations. Recurring topics across this work include Cystic Fibrosis Research Advances (15 papers), Neonatal Respiratory Health Research (15 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (9 papers), Virus-based gene therapy research (9 papers), RNA Interference and Gene Delivery (5 papers), Immune Response and Inflammation (5 papers), CRISPR and Genetic Engineering (5 papers) and Bacterial biofilms and quorum sensing (4 papers). The work is most often cited by research in Immunology (637 citations), Pulmonary and Respiratory Medicine (844 citations), Cancer Research (326 citations), Genetics (193 citations) and Genetics (481 citations). Guoshun Wang has collaborated with scholars based in United States, China and France. Frequent co-authors include Richard G. Painter, Paul B. McCray, Vincent G. Valentine, William M. Nauseef, Nicholas A. Lanson, Gisele A. Lombard, Beverly L. Davidson, Doug J. Jolly, Jay K. Kolls and Ryan W. Bonvillain. Their work appears in journals such as Frontiers in Immunology, Journal of Leukocyte Biology, Molecular Therapy, The Journal of Gene Medicine and Gene.

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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