Boning Gao

4.5k total citations · 1 hit paper
40 papers, 2.5k citations indexed

About

Boning Gao is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Boning Gao has authored 40 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 11 papers in Oncology and 8 papers in Cancer Research. Recurrent topics in Boning Gao's work include Epigenetics and DNA Methylation (8 papers), Cancer-related gene regulation (5 papers) and Lung Cancer Treatments and Mutations (5 papers). Boning Gao is often cited by papers focused on Epigenetics and DNA Methylation (8 papers), Cancer-related gene regulation (5 papers) and Lung Cancer Treatments and Mutations (5 papers). Boning Gao collaborates with scholars based in United States, China and Japan. Boning Gao's co-authors include John D. Minna, Adi F. Gazdar, Michael I. Lerman, Ralph J. DeBerardinis, Ignacio I. Wistuba, Robert Bachoo, Christopher S. Chen, Gaudenz Danuser, Luisa M. Solis and Linqing Li and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Boning Gao

39 papers receiving 2.5k citations

Hit Papers

Mechanical regulation of glycolysis via cytoskeleton arch... 2020 2026 2022 2024 2020 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Mechanical regulation of glycolysis via cytoskeleton architecture
    2020 396 citations Jin Suk Park, Christoph J. Burckhardt et al. Nature profile →

Peers

Boning Gao
Ekrem Emrah Er United States
Valerio Brizi Italy
Panomwat Amornphimoltham United States
John Le Quesne United Kingdom
Michael E. Rothenberg United States
Zachary C. Dobbin United States
Irwin H. Gelman United States
Francesca Peruzzi United States
Ruo‐Pan Huang United States
Piero Tosi Italy
Ekrem Emrah Er United States
Boning Gao
Citations per year, relative to Boning Gao Boning Gao (= 1×) peers Ekrem Emrah Er

Countries citing papers authored by Boning Gao

Since Specialization
Citations

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

Fields of papers citing papers by Boning Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Boning Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Boning Gao. A scholar is included among the top collaborators of Boning Gao 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 Boning Gao. Boning Gao 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.
2.
Iyengar, Puneeth, Jorge Z. Granados, Tong Guo, et al.. (2023). Tumor loss-of-function mutations in STK11/LKB1 induce cachexia. JCI Insight. 8(8). 9 indexed citations
3.
Solmonson, Ashley, Boning Gao, Ralph J. DeBerardinis, et al.. (2023). IL-1β mediates the induction of immune checkpoint regulators IDO1 and PD-L1 in lung adenocarcinoma cells. Cell Communication and Signaling. 21(1). 331–331. 12 indexed citations
4.
Gao, Boning, et al.. (2023). Quantized Phase Alignment by Discrete Phase Shifts for Reconfigurable Intelligent Surface-Assisted Communication Systems. IEEE Transactions on Vehicular Technology. 73(4). 5259–5275. 13 indexed citations
5.
Hayenga, Heather N., Chunyu Cai, David T. Fetzer, et al.. (2022). Rare solid and cystic presentation of hemangiopericytoma/ solitary fibrous tumor: A case report. SHILAP Revista de lepidopterología. 6. 100149–100149. 1 indexed citations
6.
Bohan, Dana, Kai J. Rogers, José A. Aguilar-Briseño, et al.. (2021). Phosphatidylserine receptors enhance SARS-CoV-2 infection. PLoS Pathogens. 17(11). e1009743–e1009743. 75 indexed citations
7.
Batten, Kimberly, Michael Peyton, Crystal Cornelius, et al.. (2020). SLC43A3 Is a Biomarker of Sensitivity to the Telomeric DNA Damage Mediator 6-Thio-2′-Deoxyguanosine. Cancer Research. 80(5). 929–936. 9 indexed citations
8.
Gong, Ke, Gao Guo, David E. Gerber, et al.. (2020). EGFR inhibition triggers an adaptive response by co-opting antiviral signaling pathways in lung cancer. Nature Cancer. 1(4). 394–409. 51 indexed citations
9.
Park, Jin Suk, Christoph J. Burckhardt, Rossana Lazcano, et al.. (2020). Mechanical regulation of glycolysis via cytoskeleton architecture. Nature. 578(7796). 621–626. 396 indexed citations breakdown →
10.
Gao, Boning, et al.. (2019). Unbiased peptoid combinatorial cell screen identifies plectin protein as a potential biomarker for lung cancer stem cells. Scientific Reports. 9(1). 14954–14954. 26 indexed citations
11.
Li, Na, Xing Liu, Yong Zhang, et al.. (2017). Platelet distribution width correlates with prognosis of non-small cell lung cancer. Scientific Reports. 7(1). 3456–3456. 62 indexed citations
12.
Sato, Mitsuo, Jill E. Larsen, Woochang Lee, et al.. (2013). Human Lung Epithelial Cells Progressed to Malignancy through Specific Oncogenic Manipulations. Molecular Cancer Research. 11(6). 638–650. 156 indexed citations
13.
Sullivan, James P., Monica Spinola, Michael Dodge, et al.. (2010). Aldehyde Dehydrogenase Activity Selects for Lung Adenocarcinoma Stem Cells Dependent on Notch Signaling. Cancer Research. 70(23). 9937–9948. 334 indexed citations
14.
Cai, Di, David S. Shames, Maria Gabriela Raso, et al.. (2010). Steroid Receptor Coactivator-3 Expression in Lung Cancer and Its Role in the Regulation of Cancer Cell Survival and Proliferation. Cancer Research. 70(16). 6477–6485. 48 indexed citations
15.
Wei, Qun, Wen Zhou, Boning Gao, et al.. (2010). Tumor-Suppressive Functions of Leucine Zipper Transcription Factor–Like 1. Cancer Research. 70(7). 2942–2950. 32 indexed citations
16.
Gazdar, Adi F., Boning Gao, & John D. Minna. (2010). Lung cancer cell lines: Useless artifacts or invaluable tools for medical science?. Lung Cancer. 68(3). 309–318. 105 indexed citations
17.
Wei, Qun, et al.. (2010). Abstract LB-8: Tumor suppressive functions of leucine zipper transcription factorlike 1. Cancer Research. 70(8_Supplement). LB–8. 1 indexed citations
18.
Gao, Boning, Xian‐Jin Xie, David S. Shames, et al.. (2008). RASSF1A Polymorphism A133S Is Associated with Early Onset Breast Cancer in BRCA1/2 Mutation Carriers. Cancer Research. 68(1). 22–25. 40 indexed citations
19.
Gao, Boning, et al.. (2002). Parallel assessment of CpG methylation by two-color hybridization with oligonucleotide arrays. Analytical Biochemistry. 309(2). 301–310. 31 indexed citations
20.
Gao, Boning, Shuzhen Li, & Philip E. Thorpe. (1998). A Simple and Rapid Method for Purifying the Extracellular Domain of Human Tissue Factor. Thrombosis Research. 91(5). 249–253. 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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