Haiwei Gu

10.4k total citations · 3 hit papers
212 papers, 7.2k citations indexed

About

Haiwei Gu is a scholar working on Molecular Biology, Physiology and Spectroscopy. According to data from OpenAlex, Haiwei Gu has authored 212 papers receiving a total of 7.2k indexed citations (citations by other indexed papers that have themselves been cited), including 134 papers in Molecular Biology, 50 papers in Physiology and 40 papers in Spectroscopy. Recurrent topics in Haiwei Gu's work include Metabolomics and Mass Spectrometry Studies (75 papers), Diet and metabolism studies (30 papers) and Mass Spectrometry Techniques and Applications (29 papers). Haiwei Gu is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (75 papers), Diet and metabolism studies (30 papers) and Mass Spectrometry Techniques and Applications (29 papers). Haiwei Gu collaborates with scholars based in United States, China and South Africa. Haiwei Gu's co-authors include Daniel Raftery, Danijel Djukovic, G. A. Nagana Gowda, Xiaojian Shi, Vincent M. Asiago, Narasimhamurthy Shanaiah, Jiangjiang Zhu, Shucha Zhang, Huanwen Chen and Bowei Xi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Angewandte Chemie International Edition.

In The Last Decade

Haiwei Gu

199 papers receiving 7.1k citations

Hit Papers

Metabolomics-based methods for early disease diagnostics 2008 2026 2014 2020 2008 2021 2023 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haiwei Gu United States 45 4.3k 1.4k 1.2k 749 650 212 7.2k
Julijana Ivanišević Switzerland 32 4.7k 1.1× 1.0k 0.7× 781 0.7× 808 1.1× 539 0.8× 88 7.5k
Óscar Yanes Spain 39 5.0k 1.2× 902 0.6× 1.8k 1.5× 622 0.8× 801 1.2× 104 7.4k
Jun Yang United States 53 3.5k 0.8× 915 0.6× 591 0.5× 602 0.8× 473 0.7× 286 9.3k
Hector C. Keun United Kingdom 48 6.3k 1.5× 908 0.6× 1.2k 1.0× 1.3k 1.7× 789 1.2× 152 8.6k
Visith Thongboonkerd Thailand 52 4.8k 1.1× 1.6k 1.1× 1.5k 1.3× 413 0.6× 353 0.5× 296 10.7k
Yunping Qiu China 47 5.0k 1.2× 1.2k 0.9× 639 0.6× 1.1k 1.4× 477 0.7× 137 7.3k
Henrik Antti Sweden 42 5.1k 1.2× 783 0.5× 1.3k 1.1× 695 0.9× 1.0k 1.6× 96 8.3k
Lello Zolla Italy 51 4.2k 1.0× 1.8k 1.3× 881 0.8× 569 0.8× 467 0.7× 242 9.0k
Mingming Su China 42 3.9k 0.9× 1.0k 0.7× 596 0.5× 603 0.8× 439 0.7× 126 6.3k
Masahiro Sugimoto Japan 45 4.1k 1.0× 1.5k 1.0× 731 0.6× 1.1k 1.4× 781 1.2× 243 7.5k

Countries citing papers authored by Haiwei Gu

Since Specialization
Citations

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

Fields of papers citing papers by Haiwei Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haiwei Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Haiwei Gu. A scholar is included among the top collaborators of Haiwei Gu 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 Haiwei Gu. Haiwei Gu 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.
Chi, Jinhua, Ming Li, Yan Jin, et al.. (2024). Artificial intelligence in metabolomics: a current review. TrAC Trends in Analytical Chemistry. 178. 117852–117852. 46 indexed citations
2.
Navarro, Sandi L., Brian D. Williamson, Ying Huang, et al.. (2024). Metabolite Predictors of Breast and Colorectal Cancer Risk in the Women’s Health Initiative. Metabolites. 14(8). 463–463. 5 indexed citations
3.
Jin, Yan, et al.. (2023). Metabolomic Profiling in Mouse Model of Menopause-Associated Asthma. Metabolites. 13(4). 546–546. 4 indexed citations
5.
Yegambaram, Manivannan, Xutong Sun, Qing Lü, et al.. (2023). Mitochondrial hyperfusion induces metabolic remodeling in lung endothelial cells by modifying the activities of electron transport chain complexes I and III. Free Radical Biology and Medicine. 210. 183–194. 11 indexed citations
7.
Gu, Haiwei, et al.. (2023). Machine and deep learning identified metabolites and clinical features associated with gallstone disease. SHILAP Revista de lepidopterología. 3. 100106–100106. 3 indexed citations
8.
Mi, Yashi, Guoyuan Qi, Francesca Vitali, et al.. (2023). Loss of fatty acid degradation by astrocytic mitochondria triggers neuroinflammation and neurodegeneration. Nature Metabolism. 5(3). 445–465. 183 indexed citations breakdown →
9.
Luo, Yihao, YenJung Sean Lai, Zehra Esra Ilhan, et al.. (2023). Identifying biodegradation pathways of cetrimonium bromide (CTAB) using metagenome, metatranscriptome, and metabolome tri-omics integration. Water Research. 246. 120738–120738. 9 indexed citations
10.
Burrows, Brian T., P. David Adelson, Jorge Arango, et al.. (2022). Central Nervous System Metabolism in Autism, Epilepsy and Developmental Delays: A Cerebrospinal Fluid Analysis. Metabolites. 12(5). 371–371. 22 indexed citations
11.
Chiao, Ying Ann, Rong Tian, Junichi Sadoshima, et al.. (2021). NAD + Redox Imbalance in the Heart Exacerbates Diabetic Cardiomyopathy. Circulation Heart Failure. 14(8). e008170–e008170. 43 indexed citations
12.
Zhang, Xinyu, Daniel Raftery, Haiwei Gu, et al.. (2021). A Metabolomic Aging Clock Using Human Cerebrospinal Fluid. The Journals of Gerontology Series A. 77(4). 744–754. 29 indexed citations
13.
He, Hailang, et al.. (2020). 2,2′,4,4′-tetrabromodiphenyl ether (BDE-47) induces wide metabolic changes including attenuated mitochondrial function and enhanced glycolysis in PC12 cells. Ecotoxicology and Environmental Safety. 201. 110849–110849. 31 indexed citations
14.
Li, Xueshu, et al.. (2020). Gut Microbiome Critically Impacts PCB-induced Changes in Metabolic Fingerprints and the Hepatic Transcriptome in Mice. Toxicological Sciences. 177(1). 168–187. 32 indexed citations
15.
Shi, Xiaojian, Shuai Wang, Paniz Jasbi, et al.. (2019). Database-Assisted Globally Optimized Targeted Mass Spectrometry (dGOT-MS): Broad and Reliable Metabolomics Analysis with Enhanced Identification. Analytical Chemistry. 91(21). 13737–13745. 63 indexed citations
16.
Zhu, Bo, Huansheng Cao, Gaoyang Li, et al.. (2018). Biodiversity and dynamics of cyanobacterial communities during blooms in temperate lake (Harsha Lake, Ohio, USA). Harmful Algae. 82. 9–18. 15 indexed citations
17.
Liu, Jingping, Erik P. Castle, Douglas F. Lake, et al.. (2018). Loss of SETD2 Induces a Metabolic Switch in Renal Cell Carcinoma Cell Lines toward Enhanced Oxidative Phosphorylation. Journal of Proteome Research. 18(1). 331–340. 37 indexed citations
18.
Lim, Seung-Oe, Chia‐Wei Li, Weiya Xia, et al.. (2016). EGFR Signaling Enhances Aerobic Glycolysis in Triple-Negative Breast Cancer Cells to Promote Tumor Growth and Immune Escape. Cancer Research. 76(5). 1284–1296. 203 indexed citations
19.
Dai, Dao‐Fu, Pabalu P. Karunadharma, Ying Ann Chiao, et al.. (2014). Altered proteome turnover and remodeling by short‐term caloric restriction or rapamycin rejuvenate the aging heart. Aging Cell. 13(3). 529–539. 255 indexed citations
20.
Gu, Haiwei, et al.. (1996). On Buckling Analysis of Beams and Frame Structures by the Differential Quadrature Element Method. Engineering Mechanics. 1. 382–385. 14 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026