Ding Wang

1.3k total citations
37 papers, 1.0k citations indexed

About

Ding Wang is a scholar working on Molecular Biology, Oncology and Spectroscopy. According to data from OpenAlex, Ding Wang has authored 37 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 9 papers in Oncology and 6 papers in Spectroscopy. Recurrent topics in Ding Wang's work include Mitochondrial Function and Pathology (8 papers), Metabolomics and Mass Spectrometry Studies (6 papers) and Peptidase Inhibition and Analysis (6 papers). Ding Wang is often cited by papers focused on Mitochondrial Function and Pathology (8 papers), Metabolomics and Mass Spectrometry Studies (6 papers) and Peptidase Inhibition and Analysis (6 papers). Ding Wang collaborates with scholars based in United States, China and Czechia. Ding Wang's co-authors include Peipei Ping, Jeffrey L. Garvin, Edward Lau, Maggie P. Y. Lam, David A. Liem, Chenggong Zong, Barbara A. Stoos, Craig F. Plato, Sarah B. Scruggs and Tae‐Young Kim and has published in prestigious journals such as Journal of Clinical Investigation, Neuron and Journal of Clinical Oncology.

In The Last Decade

Ding Wang

37 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ding Wang United States 18 727 217 179 140 125 37 1.0k
Jeanna Perman Sweden 7 530 0.7× 203 0.9× 109 0.6× 212 1.5× 335 2.7× 9 1.1k
Radha Krishna United States 17 449 0.6× 153 0.7× 87 0.5× 44 0.3× 104 0.8× 29 895
Marcus Höring Germany 17 474 0.7× 112 0.5× 114 0.6× 45 0.3× 117 0.9× 61 852
Melissa A. Greeve Australia 7 461 0.6× 189 0.9× 60 0.3× 127 0.9× 145 1.2× 8 778
Masaya Ikegawa Japan 16 408 0.6× 149 0.7× 55 0.3× 297 2.1× 71 0.6× 37 940
Bradley R. Webster United States 12 425 0.6× 158 0.7× 74 0.4× 64 0.5× 260 2.1× 23 806
Mikael Rutberg Sweden 14 608 0.8× 276 1.3× 32 0.2× 356 2.5× 157 1.3× 25 1.2k
Ronald A. Albright United States 11 1.0k 1.4× 213 1.0× 34 0.2× 46 0.3× 111 0.9× 12 1.3k
Hyeon‐Cheol Lee Japan 17 498 0.7× 146 0.7× 39 0.2× 157 1.1× 235 1.9× 40 970
Benjamin M. Buehrer United States 22 1.1k 1.5× 400 1.8× 43 0.2× 308 2.2× 315 2.5× 32 1.8k

Countries citing papers authored by Ding Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ding Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ding Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Ding Wang. A scholar is included among the top collaborators of Ding Wang 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 Ding Wang. Ding Wang 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.
Yang, Jiajun, Jie Liu, Ding Wang, et al.. (2025). Primary ciliary protein kinase A activity in the prefrontal cortex modulates stress in mice. Neuron. 113(8). 1276–1289.e5. 2 indexed citations
2.
Wang, Wei, et al.. (2024). Data-Driven Insights into the Association Between Oxidative Stress and Calcium-Regulating Proteins in Cardiovascular Disease. Antioxidants. 13(11). 1420–1420. 1 indexed citations
3.
Wang, Ding, Xi Zhan, Rui Wu, et al.. (2021). Assessment of Pyroptosis-Related Indicators as Potential Biomarkers and Their Association with Severity in Patients with Liver Cirrhosis. Journal of Inflammation Research. Volume 14. 3185–3196. 6 indexed citations
4.
Choi, Howard, Deborah M. Simpson, Ding Wang, et al.. (2020). Heterogeneity of proteome dynamics between connective tissue phases of adult tendon. eLife. 9. 27 indexed citations
5.
Wu, Lifang, Gui‐Ping Xu, Qing Zhao, et al.. (2019). The association between hypoxia inducible factor 1 subunit alpha gene rs2057482 polymorphism and cancer risk: a meta-analysis. BMC Cancer. 19(1). 1123–1123. 7 indexed citations
6.
Long, Ruicai, Yanli Gao, Hao Sun, et al.. (2018). Quantitative proteomic analysis using iTRAQ to identify salt-responsive proteins during the germination stage of two Medicago species. Scientific Reports. 8(1). 9553–9553. 22 indexed citations
7.
Wang, Peng, Ding Wang, Bin Wang, et al.. (2018). Influence of DNA methylation on the expression of OPG/RANKL in primary osteoporosis. International Journal of Medical Sciences. 15(13). 1480–1485. 35 indexed citations
8.
Wang, Ding, Fadi Braiteh, James J. Lee, et al.. (2016). Lack of pharmacokinetic drug–drug interaction between ramucirumab and irinotecan in patients with advanced solid tumors. Cancer Chemotherapy and Pharmacology. 78(4). 727–733. 2 indexed citations
9.
Lam, Maggie P. Y., Edward Lau, Dominic C. M. Ng, Ding Wang, & Peipei Ping. (2016). Cardiovascular proteomics in the era of big data: experimental and computational advances. Clinical Proteomics. 13(1). 23–23. 8 indexed citations
10.
Scruggs, Sarah B., Ding Wang, & Peipei Ping. (2016). PRKCE gene encoding protein kinase C-epsilon—Dual roles at sarcomeres and mitochondria in cardiomyocytes. Gene. 590(1). 90–96. 21 indexed citations
11.
Lau, Edward, Quan Cao, Dominic C. M. Ng, et al.. (2016). A large dataset of protein dynamics in the mammalian heart proteome. Scientific Data. 3(1). 160015–160015. 69 indexed citations
12.
Lau, Edward, Quan Cao, Amanda Lin, et al.. (2015). Spatial and temporal dynamics of the cardiac mitochondrial proteome. Expert Review of Proteomics. 12(2). 133–146. 9 indexed citations
13.
Lam, Maggie P. Y., Ding Wang, Edward Lau, et al.. (2014). Protein kinetic signatures of the remodeling heart following isoproterenol stimulation. Journal of Clinical Investigation. 124(4). 1734–1744. 75 indexed citations
14.
Zong, Chenggong, Peipei Ping, Edward Lau, et al.. (2014). Lysine ubiquitination and acetylation of human cardiac 20S proteasomes. PROTEOMICS - CLINICAL APPLICATIONS. 8(7-8). 590–594. 12 indexed citations
15.
Wang, Ding, Caiyun Fang, Chenggong Zong, et al.. (2013). Regulation of Acetylation Restores Proteolytic Function of Diseased Myocardium in Mouse and Human. Molecular & Cellular Proteomics. 12(12). 3793–3802. 44 indexed citations
16.
Li, Shengjin, Ding Wang, Jun Zhang, Jian Zheng, & Weixian Chen. (2013). Development of test strips for rapid buprenorphine detection in vitro. Clinical Biochemistry. 46(12). 1093–1098. 2 indexed citations
17.
Kim, Tae‐Young, Ding Wang, Allen K. Kim, et al.. (2012). Metabolic Labeling Reveals Proteome Dynamics of Mouse Mitochondria. Molecular & Cellular Proteomics. 11(12). 1586–1594. 145 indexed citations
18.
Lam, Maggie P. Y., Edward Lau, Sarah B. Scruggs, et al.. (2012). Site-specific quantitative analysis of cardiac mitochondrial protein phosphorylation. Journal of Proteomics. 81. 15–23. 22 indexed citations
19.
Lam, Maggie P. Y., Sarah B. Scruggs, Tae‐Young Kim, et al.. (2012). An MRM-based workflow for quantifying cardiac mitochondrial protein phosphorylation in murine and human tissue. Journal of Proteomics. 75(15). 4602–4609. 36 indexed citations
20.
Yang, Qingchuan, et al.. (2010). Simultaneous isolation of DNA, RNA, and protein from Medicago truncatula L.. Electrophoresis. 32(2). 321–330. 32 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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