Weigang Ge

3.9k total citations
19 papers, 519 citations indexed

About

Weigang Ge is a scholar working on Molecular Biology, Spectroscopy and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Weigang Ge has authored 19 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 11 papers in Spectroscopy and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Weigang Ge's work include Advanced Proteomics Techniques and Applications (11 papers), Mass Spectrometry Techniques and Applications (8 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). Weigang Ge is often cited by papers focused on Advanced Proteomics Techniques and Applications (11 papers), Mass Spectrometry Techniques and Applications (8 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). Weigang Ge collaborates with scholars based in China, Switzerland and United States. Weigang Ge's co-authors include Tiannan Guo, Xue Cai, Fangfei Zhang, Guan Ruan, Yi Zhu, Xiao Yi, Rui Sun, Qiushi Zhang, Wei Liu and Liujia Qian and has published in prestigious journals such as Bioinformatics, Nature Protocols and Molecular & Cellular Proteomics.

In The Last Decade

Weigang Ge

18 papers receiving 511 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weigang Ge China 11 344 275 46 41 32 19 519
Xue Cai China 8 276 0.8× 204 0.7× 37 0.8× 34 0.8× 30 0.9× 24 437
Annie Ha Canada 4 352 1.0× 251 0.9× 28 0.6× 18 0.4× 31 1.0× 9 505
Julie Bletz United States 1 250 0.7× 177 0.6× 23 0.5× 22 0.5× 21 0.7× 2 383
Gabriele Heine Germany 7 284 0.8× 196 0.7× 35 0.8× 21 0.5× 22 0.7× 8 434
Joanne B. Connolly United Kingdom 8 230 0.7× 136 0.5× 25 0.5× 22 0.5× 19 0.6× 10 375
Corina Mayrhofer Austria 12 284 0.8× 91 0.3× 28 0.6× 37 0.9× 39 1.2× 23 463
Tamara Kanashova Germany 9 333 1.0× 122 0.4× 59 1.3× 15 0.4× 34 1.1× 10 511
Jiamin Qiu United States 13 450 1.3× 148 0.5× 60 1.3× 13 0.3× 133 4.2× 30 641
Katarina Davalieva North Macedonia 13 261 0.8× 106 0.4× 78 1.7× 104 2.5× 19 0.6× 34 512
Vivian Delcourt France 11 441 1.3× 144 0.5× 39 0.8× 11 0.3× 12 0.4× 25 549

Countries citing papers authored by Weigang Ge

Since Specialization
Citations

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

Fields of papers citing papers by Weigang Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weigang Ge

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

All Works

19 of 19 papers shown
1.
Tao, Qing‐Qing, Xue Cai, Weigang Ge, et al.. (2024). Alzheimer’s disease early diagnostic and staging biomarkers revealed by large-scale cerebrospinal fluid and serum proteomic profiling. The Innovation. 5(1). 100544–100544. 26 indexed citations
2.
Wang, Youming, Rui Sun, Weigang Ge, et al.. (2023). Longitudinal Serum Proteomics Characterization of CD19-CAR-T Cell Therapy for B-Cell Malignancies. Journal of Proteome Research. 22(9). 2985–2994.
3.
Wang, Yingrui, Qianru Zhu, Rui Sun, et al.. (2023). Longitudinal proteomic investigation of COVID-19 vaccination. Protein & Cell. 14(9). 668–682. 6 indexed citations
4.
Qian, Liujia, Yue Gu, Zhangzhi Xue, et al.. (2023). Multitissue Circadian Proteome Atlas of WT and Per1−/−/Per2−/− Mice. Molecular & Cellular Proteomics. 22(12). 100675–100675. 7 indexed citations
5.
6.
He, Yi, He Wang, Mengge Lyu, et al.. (2023). Identifying Patients With Rapid Progression From Hormone-Sensitive to Castration-Resistant Prostate Cancer: A Retrospective Study. Molecular & Cellular Proteomics. 22(9). 100613–100613. 4 indexed citations
7.
Zhang, Fangfei, Weigang Ge, Dan Li, et al.. (2023). A Comparative Analysis of Data Analysis Tools for Data-Independent Acquisition Mass Spectrometry. Molecular & Cellular Proteomics. 22(9). 100623–100623. 34 indexed citations
8.
Zhou, Yan, Lu Li, He Wang, et al.. (2022). Comparative Evaluation of Proteome Discoverer and FragPipe for the TMT-Based Proteome Quantification. Journal of Proteome Research. 21(12). 3007–3015. 13 indexed citations
9.
Huang, Dongdong, Huifang Zhang, Lu Li, et al.. (2022). Proteotypic Differences of Follicular-Patterned Thyroid Neoplasms. Frontiers in Endocrinology. 13. 854611–854611. 8 indexed citations
10.
Lu, Tian, Liujia Qian, Qiushi Zhang, et al.. (2022). Tissue-Characteristic Expression of Mouse Proteome. Molecular & Cellular Proteomics. 21(10). 100408–100408. 15 indexed citations
11.
Cai, Xue, Zhangzhi Xue, Chunlong Wu, et al.. (2022). High-throughput proteomic sample preparation using pressure cycling technology. Nature Protocols. 17(10). 2307–2325. 32 indexed citations
12.
Yi, Xiao, Weigang Ge, Peter Blattmann, et al.. (2022). Quantitative proteomic landscapes of primary and recurrent glioblastoma reveal a protumorigeneic role for FBXO2-dependent glioma-microenvironment interactions. Neuro-Oncology. 25(2). 290–302. 15 indexed citations
13.
Liu, Wei, Yaoting Sun, Weigang Ge, et al.. (2021). DIA-Based Proteomics Identifies IDH2 as a Targetable Regulator of Acquired Drug Resistance in Chronic Myeloid Leukemia. Molecular & Cellular Proteomics. 21(2). 100187–100187. 5 indexed citations
14.
Sun, Rui, Mengge Lyu, Shuang Liang, et al.. (2021). A prostate cancer tissue specific spectral library for targeted proteomic analysis. PROTEOMICS. 22(7). e2100147–e2100147. 7 indexed citations
15.
Sun, Rui, Christie L. Hunter, Chen Chen, et al.. (2020). Accelerated Protein Biomarker Discovery from FFPE Tissue Samples Using Single-Shot, Short Gradient Microflow SWATH MS. Journal of Proteome Research. 19(7). 2732–2741. 24 indexed citations
16.
Zhu, Tiansheng, Hao Chen, Zhicheng Wu, et al.. (2020). ProteomeExpert: a Docker image-based web server for exploring, modeling, visualizing and mining quantitative proteomic datasets. Bioinformatics. 37(2). 273–275. 14 indexed citations
17.
Cai, Xue, Weigang Ge, Xiao Yi, et al.. (2020). PulseDIA: Data-Independent Acquisition Mass Spectrometry Using Multi-Injection Pulsed Gas-Phase Fractionation. Journal of Proteome Research. 20(1). 279–288. 33 indexed citations
18.
Zhang, Fangfei, Weigang Ge, Guan Ruan, Xue Cai, & Tiannan Guo. (2020). Data‐Independent Acquisition Mass Spectrometry‐Based Proteomics and Software Tools: A Glimpse in 2020. PROTEOMICS. 20(17-18). e1900276–e1900276. 232 indexed citations
19.
Gao, Huanhuan, Fangfei Zhang, Shuang Liang, et al.. (2020). Accelerated Lysis and Proteolytic Digestion of Biopsy-Level Fresh-Frozen and FFPE Tissue Samples Using Pressure Cycling Technology. Journal of Proteome Research. 19(5). 1982–1990. 40 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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