Changgong Wu

1.1k total citations
30 papers, 883 citations indexed

About

Changgong Wu is a scholar working on Molecular Biology, Physiology and Aquatic Science. According to data from OpenAlex, Changgong Wu has authored 30 papers receiving a total of 883 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 13 papers in Physiology and 7 papers in Aquatic Science. Recurrent topics in Changgong Wu's work include Redox biology and oxidative stress (14 papers), Nitric Oxide and Endothelin Effects (10 papers) and Aquaculture Nutrition and Growth (7 papers). Changgong Wu is often cited by papers focused on Redox biology and oxidative stress (14 papers), Nitric Oxide and Endothelin Effects (10 papers) and Aquaculture Nutrition and Growth (7 papers). Changgong Wu collaborates with scholars based in United States, China and Türkiye. Changgong Wu's co-authors include Hong Li, Junichi Sadoshima, Jianhai Xiang, Mohit Raja Jain, Fuhua Li, Andrew M. Parrott, Cexiong Fu, Tong Liu, Shinichi Oka and Tong Liu and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Free Radical Biology and Medicine.

In The Last Decade

Changgong Wu

30 papers receiving 867 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Changgong Wu United States 16 515 259 147 141 121 30 883
Georg Golderer Austria 19 645 1.3× 204 0.8× 130 0.9× 145 1.0× 11 0.1× 48 1.2k
Takushi X. Watanabe Japan 19 935 1.8× 291 1.1× 41 0.3× 58 0.4× 106 0.9× 53 1.5k
Cecil C. Yip Canada 23 1.0k 2.0× 295 1.1× 49 0.3× 51 0.4× 49 0.4× 45 1.6k
Andrzej Dżugaj Poland 20 619 1.2× 49 0.2× 99 0.7× 87 0.6× 85 0.7× 50 905
Francesca Guarino Italy 24 1.1k 2.2× 244 0.9× 70 0.5× 41 0.3× 19 0.2× 50 1.6k
Max H. Cake Australia 18 469 0.9× 123 0.5× 76 0.5× 77 0.5× 65 0.5× 46 1.1k
E J Cragoe United States 15 360 0.7× 123 0.5× 61 0.4× 31 0.2× 45 0.4× 32 652
Dariusz Rakus Poland 24 767 1.5× 118 0.5× 41 0.3× 49 0.3× 16 0.1× 40 1.2k
James B. Blair United States 20 711 1.4× 340 1.3× 53 0.4× 140 1.0× 84 0.7× 42 1.3k
Robert E. Cashon United States 19 455 0.9× 350 1.4× 39 0.3× 29 0.2× 55 0.5× 37 1.2k

Countries citing papers authored by Changgong Wu

Since Specialization
Citations

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

Fields of papers citing papers by Changgong Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changgong Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Changgong Wu. A scholar is included among the top collaborators of Changgong 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 Changgong Wu. Changgong Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wu, Changgong, et al.. (2022). Soluble guanylyl cyclase mediates noncanonical nitric oxide signaling by nitrosothiol transfer under oxidative stress. Redox Biology. 55. 102425–102425. 11 indexed citations
2.
Nagarajan, Narayani, Shinichi Oka, Jihoon Nah, et al.. (2022). Thioredoxin 1 promotes autophagy through transnitrosylation of Atg7 during myocardial ischemia. Journal of Clinical Investigation. 133(3). 13 indexed citations
3.
Huang, Can, Ping Shu, Narayani Nagarajan, et al.. (2017). Guanylyl cyclase sensitivity to nitric oxide is protected by a thiol oxidation-driven interaction with thioredoxin-1. Journal of Biological Chemistry. 292(35). 14362–14370. 27 indexed citations
4.
Shields, Kelly J. & Changgong Wu. (2017). Differential Adipose Tissue Proteomics. Methods in molecular biology. 1788. 243–250. 2 indexed citations
5.
Shields, Kelly J., Kostas Verdelis, Michael J. Passineau, et al.. (2016). Three‐Dimensional Micro Computed Tomography Analysis of the Lung Vasculature and Differential Adipose Proteomics in the Sugen/Hypoxia Rat Model of Pulmonary Arterial Hypertension. Pulmonary Circulation. 6(4). 586–596. 15 indexed citations
6.
Benza, Raymond L., Changgong Wu, Kelly J. Shields, et al.. (2016). In Situ Expression of Bcl‐2 in Pulmonary Artery Endothelial Cells Associates with Pulmonary Arterial Hypertension Relative to Heart Failure with Preserved Ejection Fraction. Pulmonary Circulation. 6(4). 551–556. 12 indexed citations
7.
Li, Shaohua, Devora Cohen-Karni, Changgong Wu, et al.. (2016). Direct introduction of R-SO2F moieties into proteins and protein-polymer conjugation using SuFEx chemistry. Polymer. 99. 7–12. 38 indexed citations
8.
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10.
Liu, Tong, Changgong Wu, Mohit Raja Jain, et al.. (2015). Master redox regulator Trx1 upregulates SMYD1 & modulates lysine methylation. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1854(12). 1816–1822. 10 indexed citations
11.
Wu, Changgong, Mohit Raja Jain, Qing Li, et al.. (2014). Identification of Novel Nuclear Targets of Human Thioredoxin 1. Molecular & Cellular Proteomics. 13(12). 3507–3518. 18 indexed citations
12.
Wu, Changgong, Andrew M. Parrott, Tong Liu, Annie Beuve, & Hong Li. (2013). Functional proteomics approaches for the identification of transnitrosylase and denitrosylase targets. Methods. 62(2). 151–160. 18 indexed citations
13.
Wu, Changgong, Andrew M. Parrott, Tong Liu, et al.. (2011). Distinction of thioredoxin transnitrosylation and denitrosylation target proteins by the ICAT quantitative approach. Journal of Proteomics. 74(11). 2498–2509. 59 indexed citations
14.
Wu, Changgong, Tong Liu, Wei Chen, et al.. (2010). Redox Regulatory Mechanism of Transnitrosylation by Thioredoxin. Molecular & Cellular Proteomics. 9(10). 2262–2275. 115 indexed citations
15.
Zhou, Qian, Changgong Wu, Bo Dong, et al.. (2010). Proteomic analysis of acute responses to copper sulfate stress in larvae of the brine shrimp, Artemia sinica. Chinese Journal of Oceanology and Limnology. 28(2). 224–232. 13 indexed citations
16.
Fu, Cexiong, Changgong Wu, Tong Liu, et al.. (2009). Elucidation of Thioredoxin Target Protein Networks in Mouse. Molecular & Cellular Proteomics. 8(7). 1674–1687. 71 indexed citations
17.
Wang, Yan, Tong Liu, Changgong Wu, & Hong Li. (2008). A strategy for direct identification of protein S-nitrosylation sites by quadrupole time-of-flight mass spectrometry. Journal of the American Society for Mass Spectrometry. 19(9). 1353–1360. 70 indexed citations
18.
Zhou, Qian, Changgong Wu, Bo Dong, Fengqi Liu, & Jianhai Xiang. (2008). The Encysted Dormant Embryo Proteome of Artemia sinica. Marine Biotechnology. 10(4). 438–446. 26 indexed citations
19.
Wang, Hongxia, Changgong Wu, Liusuo Zhang, & Jianhai Xiang. (2006). [The application of microsatellite markers for parentage determination in selective breeding of Pacific white shrimp (Litopenaeus vannamei)].. PubMed. 28(2). 179–83. 3 indexed citations
20.
Liu, Liping, Changgong Wu, Xiaojun Zhang, et al.. (2006). Effects of infection of EGFP-expressing Escherichia coli on haemocytes in Ciona intestinalis. Journal of Experimental Marine Biology and Ecology. 332(2). 121–134. 3 indexed citations

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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