Fuchu He

3.7k total citations · 1 hit paper
44 papers, 2.2k citations indexed

About

Fuchu He is a scholar working on Molecular Biology, Spectroscopy and Oncology. According to data from OpenAlex, Fuchu He has authored 44 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 15 papers in Spectroscopy and 9 papers in Oncology. Recurrent topics in Fuchu He's work include Advanced Proteomics Techniques and Applications (15 papers), Metabolomics and Mass Spectrometry Studies (8 papers) and Bioinformatics and Genomic Networks (8 papers). Fuchu He is often cited by papers focused on Advanced Proteomics Techniques and Applications (15 papers), Metabolomics and Mass Spectrometry Studies (8 papers) and Bioinformatics and Genomic Networks (8 papers). Fuchu He collaborates with scholars based in China, United States and United Kingdom. Fuchu He's co-authors include Yunping Zhu, Jie Ma, Songfeng Wu, Kenli Li, Henning Hermjakob, Kunxian Shu, Tao Chen, Chunyuan Yang, Guoqing Zhang and Mingze Bai and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.

In The Last Decade

Fuchu He

42 papers receiving 2.2k citations

Hit Papers

iProX: an integrated proteome resource 2018 2026 2020 2023 2018 400 800 1.2k
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. iProX: an integrated proteome resource
    2018 1.2k citations Jie Ma, Tao Chen et al. Nucleic Acids Research profile →

Peers

Fuchu He
Bjoern Titz Switzerland
Antonio Fabregat United Kingdom
Sheenah M. Mische United States
Jie Ma China
John Braisted United States
Songfeng Wu China
Sneha M. Pinto India
Achim Treumann United Kingdom
Stephanie D. Byrum United States
Guang Yang China
Bjoern Titz Switzerland
Fuchu He
Citations per year, relative to Fuchu He Fuchu He (= 1×) peers Bjoern Titz

Countries citing papers authored by Fuchu He

Since Specialization
Citations

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

Fields of papers citing papers by Fuchu He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fuchu He

This figure shows the co-authorship network connecting the top 25 collaborators of Fuchu He. A scholar is included among the top collaborators of Fuchu He 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 Fuchu He. Fuchu He 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.
Tian, Caiping, Lu Sun, Keke Liu, et al.. (2025). Proteome-wide ligandability maps of drugs with diverse cysteine-reactive chemotypes. Nature Communications. 16(1). 4863–4863. 2 indexed citations
2.
Li, Xiao, Quchang Ouyang, Xiaoqing Liu, et al.. (2025). π‐PhenoDrug: A Comprehensive Deep Learning‐Based Pipeline for Phenotypic Drug Screening in High‐Content Analysis. Advanced Intelligent Systems. 7(6).
3.
Liu, Zaoqu, Jinhai Deng, Hui Xu, et al.. (2025). Efficient discovery of robust prognostic biomarkers and signatures in solid tumors. Cancer Letters. 613. 217502–217502. 2 indexed citations
4.
Zhang, Qilin, Rui Han, Yunzhi Wang, et al.. (2024). Proteogenomic characterization of skull-base chordoma. Nature Communications. 15(1). 8338–8338. 2 indexed citations
5.
Liu, Yi, Yun Yang, Wendong Chen, et al.. (2023). DeepRTAlign: toward accurate retention time alignment for large cohort mass spectrometry data analysis. Nature Communications. 14(1). 8188–8188. 18 indexed citations
6.
Zhang, Yuehui, Limin Shang, Jing Zhang, et al.. (2021). An antibody-based proximity labeling map reveals mechanisms of SARS-CoV-2 inhibition of antiviral immunity. Cell chemical biology. 29(1). 5–18.e6. 29 indexed citations
7.
Liu, Xian, Wen Zhang, Mengnan Wang, et al.. (2021). TSMiner: a novel framework for generating time-specific gene regulatory networks from time-series expression profiles. Nucleic Acids Research. 49(18). e108–e108. 5 indexed citations
8.
Zhao, Yinghua, Changqing Sun, Yang Li, et al.. (2020). Discovery of Urinary Proteomic Signature for Differential Diagnosis of Acute Appendicitis. BioMed Research International. 2020(1). 3896263–3896263. 13 indexed citations
9.
Ma, Jie, Tao Chen, Songfeng Wu, et al.. (2018). iProX: an integrated proteome resource. Nucleic Acids Research. 47(D1). D1211–D1217. 1215 indexed citations breakdown →
10.
Ren, Liangliang, Zesong Li, Youliang Wang, et al.. (2018). In Vivo Phosphoproteome Analysis Reveals Kinome Reprogramming in Hepatocellular Carcinoma. Molecular & Cellular Proteomics. 17(6). 1067–1083. 27 indexed citations
11.
Zhao, Dianyuan, Xuexing Zheng, Hualei Wang, et al.. (2016). The Myeloid LSECtin Is a DAP12-Coupled Receptor That Is Crucial for Inflammatory Response Induced by Ebola Virus Glycoprotein. PLoS Pathogens. 12(3). e1005487–e1005487. 28 indexed citations
12.
Cui, Xiuliang, et al.. (2015). Network fingerprint: a knowledge-based characterization of biomedical networks. Scientific Reports. 5(1). 13286–13286. 9 indexed citations
13.
Xu, Feng, Jing Liu, Di Liu, et al.. (2014). LSECtin Expressed on Melanoma Cells Promotes Tumor Progression by Inhibiting Antitumor T-cell Responses. Cancer Research. 74(13). 3418–3428. 293 indexed citations
14.
Zuo, Yunfei, Shuangyi Ren, Min Wang, et al.. (2012). Novel roles of liver sinusoidal endothelial cell lectin in colon carcinoma cell adhesion, migration and in-vivo metastasis to the liver. Gut. 62(8). 1169–1178. 49 indexed citations
15.
Song, Shanshan, Guichun Xing, Yuan Lin, et al.. (2012). N-methylpurine DNA glycosylase inhibits p53-mediated cell cycle arrest and coordinates with p53 to determine sensitivity to alkylating agents. Cell Research. 22(8). 1285–1303. 15 indexed citations
16.
Zhang, Yanqiong, et al.. (2011). A Systems Biology-Based Classifier for Hepatocellular Carcinoma Diagnosis. PLoS ONE. 6(7). e22426–e22426. 31 indexed citations
17.
Elortza, Félix, Laura Beretta, Xueli Zhang, Fuchu He, & José M. Mato. (2011). The 2011 Human Liver Proteome Project (HLPP) Workshop September 5, 2011, Geneva, Switzerland. PROTEOMICS. 12(1). 5–8. 1 indexed citations
18.
Wang, Jinglan, Bing Yang, Lina Song, et al.. (2008). Phosphoproteome analysis of the human Chang liver cells using SCX and a complementary mass spectrometric strategy. PROTEOMICS. 8(10). 2024–2034. 56 indexed citations
19.
Hao, Bingtao, Xiaoping Miao, Xuan Zhang, et al.. (2006). A novel T-77C polymorphism in DNA repair gene XRCC1 contributes to diminished promoter activity and increased risk of non-small cell lung cancer. Oncogene. 25(25). 3613–3620. 91 indexed citations
20.
Jiang, Daifeng, Wantao Ying, Jinghong Wan, et al.. (2003). Identification of metastasis‐associated proteins by proteomic analysis and functional exploration of interleukin‐18 in metastasis. PROTEOMICS. 3(5). 724–737. 79 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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