Huabo Wang

1.5k total citations
34 papers, 1.1k citations indexed

About

Huabo Wang is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Huabo Wang has authored 34 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 10 papers in Cancer Research and 7 papers in Oncology. Recurrent topics in Huabo Wang's work include Cancer, Hypoxia, and Metabolism (8 papers), Ubiquitin and proteasome pathways (7 papers) and Hippo pathway signaling and YAP/TAZ (6 papers). Huabo Wang is often cited by papers focused on Cancer, Hypoxia, and Metabolism (8 papers), Ubiquitin and proteasome pathways (7 papers) and Hippo pathway signaling and YAP/TAZ (6 papers). Huabo Wang collaborates with scholars based in United States, China and Norway. Huabo Wang's co-authors include Edward V. Prochownik, Dalia I. Hammoudeh, Ariele Viacava Follis, Steven J. Metallo, Jie Lu, Steven Fletcher, John S. Lazo, Angela Hu, Brian E. Reese and Jeremy L. Yap and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Cancer Research.

In The Last Decade

Huabo Wang

31 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Huabo Wang United States 19 894 250 220 117 79 34 1.1k
Chris Proffitt United States 7 1.4k 1.6× 140 0.6× 362 1.6× 66 0.6× 116 1.5× 12 1.7k
Kevin Hudson United Kingdom 17 779 0.9× 156 0.6× 223 1.0× 70 0.6× 132 1.7× 30 1.1k
Joshua D. Ochocki United States 13 867 1.0× 587 2.3× 170 0.8× 117 1.0× 110 1.4× 18 1.2k
Bjoern Papke Germany 9 1.0k 1.1× 122 0.5× 346 1.6× 215 1.8× 92 1.2× 12 1.2k
Nicole Streiner United States 9 1.1k 1.3× 105 0.4× 312 1.4× 65 0.6× 159 2.0× 16 1.4k
Ana Igea Spain 14 793 0.9× 191 0.8× 260 1.2× 116 1.0× 29 0.4× 25 1.1k
Pedro Casado United Kingdom 17 833 0.9× 161 0.6× 187 0.8× 81 0.7× 29 0.4× 45 1.2k
Lynn Ueno United States 9 630 0.7× 148 0.6× 221 1.0× 76 0.6× 56 0.7× 13 910
Nanni Huser United States 8 737 0.8× 84 0.3× 238 1.1× 75 0.6× 79 1.0× 15 999
Jonas Cicenas Switzerland 17 921 1.0× 383 1.5× 684 3.1× 174 1.5× 108 1.4× 28 1.5k

Countries citing papers authored by Huabo Wang

Since Specialization
Citations

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

Fields of papers citing papers by Huabo Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huabo Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Huabo Wang. A scholar is included among the top collaborators of Huabo 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 Huabo Wang. Huabo 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.
Wang, Huabo, et al.. (2025). Efficient derivation of immortalized, isogenic cell lines from genetically defined murine hepatoblastomas. Biochemical and Biophysical Research Communications. 780. 152478–152478. 1 indexed citations
2.
Wang, Huabo, Taylor A. Stevens, Jie Lu, et al.. (2024). Body‐Wide Inactivation of the Myc‐Like Mlx Transcription Factor Network Accelerates Aging and Increases the Lifetime Cancer Incidence. Advanced Science. 11(34). e2401593–e2401593. 2 indexed citations
3.
Wang, Huabo, et al.. (2023). Genome-Wide Identification and Expression Analysis of the bHLH Transcription Factor Family in Wintersweet (Chimonanthus praecox). International Journal of Molecular Sciences. 24(17). 13462–13462. 5 indexed citations
4.
Yang, Nan, et al.. (2023). Development of SSR Molecular Markers and Genetic Diversity Analysis of TPS Gene Family in Chimonanthus praecox. Agriculture. 13(4). 893–893. 2 indexed citations
5.
Wang, Huabo, Jie Lu, Bingwei Ma, et al.. (2023). Premature aging and reduced cancer incidence associated with near-complete body-wide Myc inactivation. Cell Reports. 42(8). 112830–112830. 18 indexed citations
6.
Prochownik, Edward V. & Huabo Wang. (2023). Lessons in aging from Myc knockout mouse models. Frontiers in Cell and Developmental Biology. 11. 1244321–1244321. 6 indexed citations
7.
Wang, Huabo, Jie Lu, Xiaoguang Chen, et al.. (2021). Acquired deficiency of peroxisomal dicarboxylic acid catabolism is a metabolic vulnerability in hepatoblastoma. Journal of Biological Chemistry. 296. 100283–100283. 13 indexed citations
8.
Wang, Huabo, Jie Lu, Weiqi Zhang, et al.. (2021). Patient-Derived Mutant Forms of NFE2L2/NRF2 Drive Aggressive Murine Hepatoblastomas. Cellular and Molecular Gastroenterology and Hepatology. 12(1). 199–228. 16 indexed citations
9.
Wang, Huabo, Daniel P. Normolle, Wei Chen, et al.. (2019). Expression patterns of small numbers of transcripts from functionally-related pathways predict survival in multiple cancers. BMC Cancer. 19(1). 686–686. 6 indexed citations
10.
Wang, Huabo, Jie Lu, Sucheta Kulkarni, et al.. (2019). Metabolic and oncogenic adaptations to pyruvate dehydrogenase inactivation in fibroblasts. Journal of Biological Chemistry. 294(14). 5466–5486. 20 indexed citations
11.
Zhang, Weiqi, Huabo Wang, Sucheta Kulkarni, et al.. (2019). β-Catenin mutations as determinants of hepatoblastoma phenotypes in mice. Journal of Biological Chemistry. 294(46). 17524–17542. 33 indexed citations
12.
Wang, Huabo, Jie Lu, James M. Dolezal, et al.. (2019). Inhibition of hepatocellular carcinoma by metabolic normalization. PLoS ONE. 14(6). e0218186–e0218186. 20 indexed citations
13.
Wang, Huabo, James M. Dolezal, Sucheta Kulkarni, et al.. (2018). Myc and ChREBP transcription factors cooperatively regulate normal and neoplastic hepatocyte proliferation in mice. Journal of Biological Chemistry. 293(38). 14740–14757. 30 indexed citations
14.
Jackson, L. Elizabeth, Sucheta Kulkarni, Huabo Wang, et al.. (2017). Genetic Dissociation of Glycolysis and the TCA Cycle Affects Neither Normal nor Neoplastic Proliferation. Cancer Research. 77(21). 5795–5807. 28 indexed citations
15.
Dolezal, James M., Huabo Wang, Sucheta Kulkarni, et al.. (2017). Sequential adaptive changes in a c-Myc-driven model of hepatocellular carcinoma. Journal of Biological Chemistry. 292(24). 10068–10086. 40 indexed citations
16.
Kulkarni, Sucheta, James M. Dolezal, Huabo Wang, et al.. (2017). Ribosomopathy-like properties of murine and human cancers. PLoS ONE. 12(8). e0182705–e0182705. 29 indexed citations
17.
Wang, Huabo, Jie Lu, Lia R. Edmunds, et al.. (2016). Coordinated Activities of Multiple Myc-dependent and Myc-independent Biosynthetic Pathways in Hepatoblastoma. Journal of Biological Chemistry. 291(51). 26241–26251. 43 indexed citations
18.
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20.
Wang, Huabo, Dalia I. Hammoudeh, Ariele Viacava Follis, et al.. (2007). Improved low molecular weight Myc-Max inhibitors. Molecular Cancer Therapeutics. 6(9). 2399–2408. 168 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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