Dan Y. Gui

6.7k total citations · 6 hit papers
25 papers, 4.5k citations indexed

About

Dan Y. Gui is a scholar working on Molecular Biology, Cancer Research and Electrical and Electronic Engineering. According to data from OpenAlex, Dan Y. Gui has authored 25 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 14 papers in Cancer Research and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Dan Y. Gui's work include Cancer, Hypoxia, and Metabolism (13 papers), Amino Acid Enzymes and Metabolism (3 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). Dan Y. Gui is often cited by papers focused on Cancer, Hypoxia, and Metabolism (13 papers), Amino Acid Enzymes and Metabolism (3 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). Dan Y. Gui collaborates with scholars based in United States, China and Sweden. Dan Y. Gui's co-authors include Matthew G. Vander Heiden, Lucas B. Sullivan, Alba Luengo, Caroline A. Lewis, Aaron M. Hosios, Elizaveta Freinkman, Brian P. Fiske, Alexander Muir, Laura V. Danai and Craig J. Thomas and has published in prestigious journals such as Nature, Cell and Nature reviews. Cancer.

In The Last Decade

Dan Y. Gui

21 papers receiving 4.5k citations

Hit Papers

5 papers align trajectories

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.

Supporting Aspartate Biosynthesis Is an Essential Function of Respiration in Proliferating Cells

2015 779 citations Lucas B. Sullivan, Dan Y. Gui et al. Cell profile →
Targeting Metabolism for Cancer Therapy

2017 666 citations Alba Luengo, Dan Y. Gui et al. Cell chemical biology profile →
Environment Impacts the Metabolic Dependencies of Ras-Driven Non-Small Cell Lung Cancer

2016 554 citations Thales Papagiannakopoulos, Benjamin A. Olenchock et al. Cell Metabolism profile →
Tracing Compartmentalized NADPH Metabolism in the Cytosol and Mitochondria of Mammalian Cells

2014 438 citations Caroline A. Lewis, Seth J. Parker et al. Molecular Cell profile →
Quantification of microenvironmental metabolites in murine cancers reveals determinants of tumor nutrient availability

2019 368 citations Mark R. Sullivan, Laura V. Danai et al. eLife profile →
Increased demand for NAD+ relative to ATP drives aerobic glycolysis

2020 351 citations Alba Luengo, Zhaoqi Li et al. Molecular Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dan Y. Gui United States	14	3.3k	2.4k	551	407	400	25	4.5k
Lucas B. Sullivan United States	20	4.4k 1.3×	3.2k 1.3×	665 1.2×	370 0.9×	435 1.1×	36	6.0k
Irina Tchernyshyov United States	10	3.6k 1.1×	3.4k 1.4×	499 0.9×	440 1.1×	355 0.9×	10	5.2k
Evgueni Daikhin United States	8	3.1k 0.9×	2.5k 1.0×	422 0.8×	362 0.9×	472 1.2×	10	4.3k
William W. Wheaton United States	9	3.2k 1.0×	2.2k 0.9×	790 1.4×	310 0.8×	205 0.5×	9	4.3k
Brian J. Altman United States	23	3.0k 0.9×	2.2k 0.9×	700 1.3×	523 1.3×	269 0.7×	44	4.6k
Zachary E. Stine United States	16	3.1k 0.9×	2.5k 1.0×	791 1.4×	501 1.2×	303 0.8×	23	4.6k
Jiangbin Ye United States	25	3.2k 1.0×	1.7k 0.7×	444 0.8×	331 0.8×	309 0.8×	41	4.5k
Juan Liu China	29	2.8k 0.9×	1.9k 0.8×	927 1.7×	357 0.9×	200 0.5×	118	4.3k
Yanhua Zheng United States	27	3.8k 1.2×	2.2k 0.9×	782 1.4×	585 1.4×	212 0.5×	34	5.2k
Aaron M. Hosios United States	16	2.2k 0.7×	1.5k 0.6×	331 0.6×	180 0.4×	311 0.8×	26	2.9k

Countries citing papers authored by Dan Y. Gui

Since Specialization

Citations

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

Fields of papers citing papers by Dan Y. Gui

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dan Y. Gui. 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 Dan Y. Gui. The network helps show where Dan Y. Gui may publish in the future.

Co-authorship network of co-authors of Dan Y. Gui

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

All Works

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20 of 20 papers shown

Gui, Dan Y., et al.. (2025). Design and Research of Accounting Automation Management System Based on Swarm Intelligence Algorithm and Deep Learning. International Journal of Advanced Computer Science and Applications. 16(1).

Zhang, Jianmin, et al.. (2025). ReAcc_MF: Multimodal Fusion Model with Resource-Accuracy Co-Optimization for Screening Blasting-Induced Pulmonary Nodules in Occupational Health. Applied Sciences. 15(11). 6224–6224.

Cui, Haotian, Kimberly Perez, Andressa Dias Costa, et al.. (2024). Abstract A029: Evaluating and interpreting scGPT: A foundation model for single-cell biology in real-world cancer clinical trial data. Cancer Research. 84(17_Supplement_2). A029–A029. 1 indexed citations

Gui, Dan Y., et al.. (2024). Research on the key technology of high-precision waveform synchronization identification and measurement. PLoS ONE. 19(3). e0299027–e0299027.

Gui, Dan Y., et al.. (2022). PCIe-based FPGA-GPU heterogeneous computation for real-time multi-emitter fitting in super-resolution localization microscopy. Biomedical Optics Express. 13(6). 3401–3401. 4 indexed citations

Gui, Dan Y., et al.. (2021). Accelerating multi-emitter localization in super-resolution localization microscopy with FPGA-GPU cooperative computation. Optics Express. 29(22). 35247–35247. 9 indexed citations

Luengo, Alba, Zhaoqi Li, Dan Y. Gui, et al.. (2020). Increased demand for NAD+ relative to ATP drives aerobic glycolysis. Molecular Cell. 81(4). 691–707.e6. 351 indexed citations breakdown →

Sullivan, Mark R., Laura V. Danai, Caroline A. Lewis, et al.. (2019). Quantification of microenvironmental metabolites in murine cancers reveals determinants of tumor nutrient availability. eLife. 8. 368 indexed citations breakdown →

Luengo, Alba, Dan Y. Gui, & Matthew G. Vander Heiden. (2017). Targeting Metabolism for Cancer Therapy. Cell chemical biology. 24(9). 1161–1180. 666 indexed citations breakdown →

10.

Gui, Dan Y., et al.. (2016). Anxiolytic and neuroprotective effects of the Traditional Chinese Medicinal formulation Dan-zhi-xiao-yao-san in a rat model of chronic stress. Molecular Medicine Reports. 14(2). 1247–1254. 15 indexed citations

11.

Papagiannakopoulos, Thales, Benjamin A. Olenchock, Julia E. Heyman, et al.. (2016). Environment Impacts the Metabolic Dependencies of Ras-Driven Non-Small Cell Lung Cancer. Cell Metabolism. 23(3). 517–528. 554 indexed citations breakdown →

12.

Sullivan, Lucas B., Dan Y. Gui, & Matthew G. Vander Heiden. (2016). Altered metabolite levels in cancer: implications for tumour biology and cancer therapy. Nature reviews. Cancer. 16(11). 680–693. 300 indexed citations

13.

Gui, Dan Y., Lucas B. Sullivan, Alba Luengo, et al.. (2016). Environment Dictates Dependence on Mitochondrial Complex I for NAD+ and Aspartate Production and Determines Cancer Cell Sensitivity to Metformin. Cell Metabolism. 24(5). 716–727. 224 indexed citations

14.

Hosios, Aaron M., Brian P. Fiske, Dan Y. Gui, & Matthew G. Vander Heiden. (2015). Lack of Evidence for PKM2 Protein Kinase Activity. Molecular Cell. 59(5). 850–857. 89 indexed citations

15.

Sullivan, Lucas B., et al.. (2015). Supporting Aspartate Biosynthesis Is an Essential Function of Respiration in Proliferating Cells. Cell. 162(3). 552–563. 779 indexed citations breakdown →

16.

Kim, Do‐Hoon, Brian P. Fiske, Kıvanç Birsoy, et al.. (2015). SHMT2 drives glioma cell survival in ischaemia but imposes a dependence on glycine clearance. Nature. 520(7547). 363–367. 273 indexed citations

17.

Yang, Nicole, et al.. (2015). Antibody-Mediated Neutralization of Perfringolysin O for Intracellular Protein Delivery. Molecular Pharmaceutics. 12(6). 1992–2000. 13 indexed citations

18.

Lewis, Caroline A., Seth J. Parker, Brian P. Fiske, et al.. (2014). Tracing Compartmentalized NADPH Metabolism in the Cytosol and Mitochondria of Mammalian Cells. Molecular Cell. 55(2). 253–263. 438 indexed citations breakdown →

19.

Hartl, Tom A., Julie Ni, Jian Cao, et al.. (2013). Regulation of Ribosome Biogenesis by Nucleostemin 3 Promotes Local and Systemic Growth in Drosophila. Genetics. 194(1). 101–115. 9 indexed citations

20.

Gui, Dan Y., Wenbin Liu, Xianping Shao, & Weina Xu. (2010). Effects of different dietary levels of cottonseed meal protein hydrolysate on growth, digestibility, body composition and serum biochemical indices in crucian carp (Carassius auratus gibelio). Animal Feed Science and Technology. 156(3-4). 112–120. 82 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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