Degeng Wang

1.1k total citations
24 papers, 860 citations indexed

About

Degeng Wang is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Degeng Wang has authored 24 papers receiving a total of 860 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 5 papers in Oncology and 4 papers in Genetics. Recurrent topics in Degeng Wang's work include Gene Regulatory Network Analysis (4 papers), TGF-β signaling in diseases (4 papers) and MicroRNA in disease regulation (4 papers). Degeng Wang is often cited by papers focused on Gene Regulatory Network Analysis (4 papers), TGF-β signaling in diseases (4 papers) and MicroRNA in disease regulation (4 papers). Degeng Wang collaborates with scholars based in United States, China and Germany. Degeng Wang's co-authors include Fengqian Chen, Leaf Huang, Limei Shen, Xueqiong Zhang, Qi Liu, Lin Hou, Michael Gribskov, Jeffrey F. Harper, Seenivasan Subbiah and Adcharee Karnjanapiboonwong and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Degeng Wang

24 papers receiving 850 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Degeng Wang United States 15 467 214 141 129 109 24 860
Zeyu Yang China 15 322 0.7× 91 0.4× 83 0.6× 68 0.5× 110 1.0× 65 803
Michele K. Montagna Italy 18 478 1.0× 401 1.9× 115 0.8× 68 0.5× 249 2.3× 25 1.3k
Amar Bennasroune France 18 510 1.1× 257 1.2× 183 1.3× 55 0.4× 155 1.4× 36 1.2k
Clifford L. Wang United States 11 829 1.8× 217 1.0× 87 0.6× 51 0.4× 60 0.6× 18 1.1k
Kathryn Bambino United States 10 820 1.8× 398 1.9× 146 1.0× 52 0.4× 404 3.7× 11 1.4k
Chia‐Cheng Chang United States 18 577 1.2× 231 1.1× 44 0.3× 44 0.3× 166 1.5× 28 1.1k
Gergana Metodieva United Kingdom 16 421 0.9× 164 0.8× 101 0.7× 38 0.3× 149 1.4× 23 774
Kelly W. Henderson United States 12 550 1.2× 124 0.6× 83 0.6× 41 0.3× 74 0.7× 15 832
Makoto Nagano Japan 14 354 0.8× 80 0.4× 60 0.4× 45 0.3× 106 1.0× 41 749
Yeqi Wang China 17 350 0.7× 121 0.6× 58 0.4× 39 0.3× 81 0.7× 33 792

Countries citing papers authored by Degeng Wang

Since Specialization
Citations

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

Fields of papers citing papers by Degeng Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Degeng Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Degeng Wang. A scholar is included among the top collaborators of Degeng 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 Degeng Wang. Degeng 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.
Tikhonova, Elena B., et al.. (2023). The Enrichment of miRNA-Targeted mRNAs in Translationally Less Active over More Active Polysomes. Biology. 12(12). 1536–1536. 1 indexed citations
3.
Wang, Degeng, et al.. (2020). Uncovering the cellular capacity for intensive and specific feedback self-control of the argonautes and MicroRNA targeting activity. Nucleic Acids Research. 48(9). 4681–4697. 8 indexed citations
4.
Wang, Degeng & Andrey L. Karamyshev. (2020). Next Generation Sequencing (NGS) Application in Multiparameter Gene Expression Analysis. Methods in molecular biology. 2102. 17–34. 5 indexed citations
5.
Subbiah, Seenivasan, Adcharee Karnjanapiboonwong, Jonathan D. Maul, Degeng Wang, & Todd A. Anderson. (2019). Monitoring cyanobacterial toxins in a large reservoir: relationships with water quality parameters. PeerJ. 7. e7305–e7305. 10 indexed citations
6.
Jiang, Wen G., et al.. (2018). A Multi-Parameter Analysis of Cellular Coordination of Major Transcriptome Regulation Mechanisms. Scientific Reports. 8(1). 3 indexed citations
7.
Karnjanapiboonwong, Adcharee, Sanjit K. Deb, Seenivasan Subbiah, Degeng Wang, & Todd A. Anderson. (2018). Perfluoroalkylsulfonic and carboxylic acids in earthworms (Eisenia fetida): Accumulation and effects results from spiked soils at PFAS concentrations bracketing environmental relevance. Chemosphere. 199. 168–173. 58 indexed citations
8.
Liu, Qi, Hongda Zhu, Karthik Tiruthani, et al.. (2018). Nanoparticle-Mediated Trapping of Wnt Family Member 5A in Tumor Microenvironments Enhances Immunotherapy for B-Raf Proto-Oncogene Mutant Melanoma. ACS Nano. 12(2). 1250–1261. 76 indexed citations
9.
Zhou, Xiaolin, Liying Geng, Degeng Wang, et al.. (2017). R-Spondin1/LGR5 Activates TGFβ Signaling and Suppresses Colon Cancer Metastasis. Cancer Research. 77(23). 6589–6602. 51 indexed citations
10.
Wang, Degeng, et al.. (2017). The Pattern of microRNA Binding Site Distribution. Genes. 8(11). 296–296. 39 indexed citations
11.
Pan, Haihui, Kunhua Qin, Zhanyong Guo, et al.. (2014). Negative Elongation Factor Controls Energy Homeostasis in Cardiomyocytes. Cell Reports. 7(1). 79–85. 19 indexed citations
12.
Guo, Zhanyong, et al.. (2014). Relationship between gene duplicability and diversifiability in the topology of biochemical networks. BMC Genomics. 15(1). 577–577. 11 indexed citations
13.
Yellaboina, Sailu, et al.. (2010). Comparing Transcription Rate and mRNA Abundance as Parameters for Biochemical Pathway and Network Analysis. PLoS ONE. 5(3). e9908–e9908. 14 indexed citations
14.
Wang, Degeng. (2008). Discrepancy between mRNA and protein abundance: Insight from information retrieval process in computers. Computational Biology and Chemistry. 32(6). 462–468. 72 indexed citations
15.
Wang, Degeng. (2005). “Molecular gene”: Interpretation in the Right Context. Biology & Philosophy. 20(2-3). 453–464. 8 indexed citations
16.
Baek, Sung Hee, Chrissa Kioussi, Paola Briata, et al.. (2003). Regulated subset of G 1 growth-control genes in response to derepression by the Wnt pathway. Proceedings of the National Academy of Sciences. 100(6). 3245–3250. 126 indexed citations
17.
Wang, Degeng, Sandip Patil, Wenhui Li, et al.. (2002). Activation of the TGFα autocrine loop is downstream of IGF-I receptor activation during mitogenesis in growth factor dependent human colon carcinoma cells. Oncogene. 21(18). 2785–2796. 27 indexed citations
18.
Jiang, Dianhua, Hai-Su Yang, James K. V. Willson, et al.. (1998). Autocrine Transforming Growth Factor α Provides a Growth Advantage to Malignant Cells by Facilitating Re-entry into the Cell Cycle from Suboptimal Growth States. Journal of Biological Chemistry. 273(47). 31471–31479. 37 indexed citations
19.
Wang, Degeng, Wenhui Li, Wen Jiang, et al.. (1998). Autocrine TGF? expression in the regulation of initiation of human colon carcinoma growth. Journal of Cellular Physiology. 177(3). 387–395. 15 indexed citations
20.
Howell, Gillian, Lisa E. Humphrey, Rana Awwad, et al.. (1998). Aberrant Regulation of Transforming Growth Factor-α during the Establishment of Growth Arrest and Quiescence of Growth Factor Independent Cells. Journal of Biological Chemistry. 273(15). 9214–9223. 17 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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