Hao Chi

4.0k total citations · 2 hit papers
55 papers, 2.5k citations indexed

About

Hao Chi is a scholar working on Molecular Biology, Spectroscopy and Oncology. According to data from OpenAlex, Hao Chi has authored 55 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Molecular Biology, 39 papers in Spectroscopy and 5 papers in Oncology. Recurrent topics in Hao Chi's work include Advanced Proteomics Techniques and Applications (39 papers), Mass Spectrometry Techniques and Applications (30 papers) and Metabolomics and Mass Spectrometry Studies (11 papers). Hao Chi is often cited by papers focused on Advanced Proteomics Techniques and Applications (39 papers), Mass Spectrometry Techniques and Applications (30 papers) and Metabolomics and Mass Spectrometry Studies (11 papers). Hao Chi collaborates with scholars based in China, United States and Czechia. Hao Chi's co-authors include Si‐Min He, Meng‐Qiu Dong, Rui-Xiang Sun, Wenfeng Zeng, Chao Liu, Wenjing Zhou, Yue‐He Ding, Leheng Wang, Sheng‐Bo Fan and Bing Yang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Biotechnology.

In The Last Decade

Hao Chi

52 papers receiving 2.5k citations

Hit Papers

Identification of cross-l... 2012 2026 2016 2021 2012 2019 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Hao Chi 2.0k 1.3k 190 135 127 55 2.5k
Si‐Min He 2.6k 1.3× 1.6k 1.3× 238 1.3× 183 1.4× 213 1.7× 77 3.3k
Gavain M.A. Sweetman 2.3k 1.1× 1.6k 1.2× 220 1.2× 152 1.1× 94 0.7× 19 3.0k
Stephen Tanner 2.5k 1.2× 1.2k 0.9× 150 0.8× 189 1.4× 181 1.4× 17 3.0k
Ruth Hüttenhain 1.7k 0.8× 1.2k 0.9× 250 1.3× 151 1.1× 110 0.9× 28 2.4k
Peter R. Baker 2.0k 1.0× 1.3k 1.0× 309 1.6× 284 2.1× 108 0.9× 50 2.8k
Dominic Helm 1.6k 0.8× 517 0.4× 213 1.1× 163 1.2× 136 1.1× 52 2.2k
Dmitry M. Avtonomov 1.7k 0.8× 1.2k 0.9× 139 0.7× 175 1.3× 109 0.9× 14 2.3k
Thilo Werner 2.8k 1.3× 1.3k 1.0× 311 1.6× 326 2.4× 347 2.7× 25 3.5k
Markus Lubeck 1.7k 0.8× 1.4k 1.1× 137 0.7× 110 0.8× 40 0.3× 20 2.4k
Felipe da Veiga Leprevost 1.6k 0.8× 796 0.6× 160 0.8× 198 1.5× 92 0.7× 35 2.2k

Countries citing papers authored by Hao Chi

Since Specialization
Citations

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

Fields of papers citing papers by Hao Chi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hao Chi

This figure shows the co-authorship network connecting the top 25 collaborators of Hao Chi. A scholar is included among the top collaborators of Hao Chi 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 Hao Chi. Hao Chi 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.
She, Haicheng, Yi‐Ling Qiu, Ye Cheng, et al.. (2025). A liver-specific mouse model for MYO5B-associated cholestasis reveals a toxic gain-of-function as underlying disease mechanism. Biochemical and Biophysical Research Communications. 758. 151669–151669. 1 indexed citations
2.
Sang, Xinting, Lai Jiang, Shengke Zhang, et al.. (2025). Deciphering the role of acetylation-related gene NAT10 in colon cancer progression and immune evasion: implications for overcoming drug resistance. Discover Oncology. 16(1). 774–774. 2 indexed citations
3.
Zhu, Liuyang, Tianze Wang, Dapeng Chen, et al.. (2024). TWEAK is an activator of Hippo-YAP signaling protecting against hepatic Ischemia/ reperfusion injury. International Immunopharmacology. 143(Pt 3). 113567–113567. 2 indexed citations
4.
Wu, Heng, Yuxing Dai, Hao Liu, et al.. (2024). A Mendelian randomization study of the association between serum uric acid and osteoporosis risk. Frontiers in Endocrinology. 15. 1434602–1434602. 2 indexed citations
5.
Mou, Zihao, Lai Jiang, Jinyan Yang, et al.. (2024). Aging and head and neck cancer insights from single cell and spatial transcriptomic analyses. Discover Oncology. 15(1). 801–801. 9 indexed citations
6.
Liu, Jie, et al.. (2024). An overview of multi-omics technologies in rheumatoid arthritis: applications in biomarker and pathway discovery. Frontiers in Immunology. 15. 1381272–1381272. 6 indexed citations
7.
Fu, Ling, et al.. (2022). A modification-centric assessment tool for the performance of chemoproteomic probes. Nature Chemical Biology. 18(8). 904–912. 18 indexed citations
8.
Sun, Rui-Xiang, Ruimin Wang, Lan Luo, et al.. (2022). Accurate Proteoform Identification and Quantitation Using pTop 2.0. Methods in molecular biology. 2500. 105–129. 2 indexed citations
9.
Shao, Guang-Can, Yong Cao, Zhenlin Chen, et al.. (2021). How to use open-pFind in deep proteomics data analysis?— A protocol for rigorous identification and quantitation of peptides and proteins from mass spectrometry data. Biophysics Reports. 7(3). 207–226. 32 indexed citations
10.
Zhang, Xu, Kai Cheng, Zhibin Ning, et al.. (2021). Exploring the Microbiome-Wide Lysine Acetylation, Succinylation, and Propionylation in Human Gut Microbiota. Analytical Chemistry. 93(17). 6594–6598. 16 indexed citations
11.
Chen, Zhen-Lin, Yong Cao, Run-Qian Fang, et al.. (2019). A high-speed search engine pLink 2 with systematic evaluation for proteome-scale identification of cross-linked peptides. Nature Communications. 10(1). 3404–3404. 329 indexed citations breakdown →
12.
Zeng, Wen‐Feng, Mingqi Liu, Yang Zhang, et al.. (2016). pGlyco: a pipeline for the identification of intact N-glycopeptides by using HCD- and CID-MS/MS and MS3. Scientific Reports. 6(1). 25102–25102. 80 indexed citations
13.
Chi, Hao, Kun He, Bing Yang, et al.. (2015). pFind–Alioth: A novel unrestricted database search algorithm to improve the interpretation of high-resolution MS/MS data. Journal of Proteomics. 125. 89–97. 51 indexed citations
14.
Li, You, et al.. (2014). Accelerating the scoring module of mass spectrometry-based peptide identification using GPUs. BMC Bioinformatics. 15(1). 121–121. 10 indexed citations
15.
Yang, Bing, Yanjie Wu, Ming Zhu, et al.. (2012). Identification of cross-linked peptides from complex samples. Nature Methods. 9(9). 904–906. 458 indexed citations breakdown →
16.
Li, You, Hao Chi, Leheng Wang, et al.. (2010). Speeding up tandem mass spectrometry based database searching by peptide and spectrum indexing. Rapid Communications in Mass Spectrometry. 24(6). 807–814. 28 indexed citations
17.
Liu, Chao, Haipeng Wang, Yan Fu, et al.. (2010). Prediction of peptide retention time in reversed-phase liquid chromatography and its application in protein identification. Chinese Journal of Chromatography. 28(6). 529–534. 2 indexed citations
18.
Wang, Leheng, Wenping Wang, Hao Chi, et al.. (2010). An efficient parallelization of phosphorylated peptide and protein identification. Rapid Communications in Mass Spectrometry. 24(12). 1791–1798. 7 indexed citations
19.
Chi, Hao, Leheng Wang, You Li, et al.. (2010). Speeding up tandem mass spectrometry-based database searching by longest common prefix. BMC Bioinformatics. 11(1). 577–577. 8 indexed citations
20.
Fu, Yan, Wei Jia, Zhuang Lu, et al.. (2009). Efficient discovery of abundant post-translational modifications and spectral pairs using peptide mass and retention time differences. BMC Bioinformatics. 10(S1). S50–S50. 12 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