Jinjun Gao

1.8k total citations · 3 hit papers
22 papers, 1.2k citations indexed

About

Jinjun Gao is a scholar working on Molecular Biology, Nutrition and Dietetics and Spectroscopy. According to data from OpenAlex, Jinjun Gao has authored 22 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 4 papers in Nutrition and Dietetics and 4 papers in Spectroscopy. Recurrent topics in Jinjun Gao's work include Metabolomics and Mass Spectrometry Studies (4 papers), Selenium in Biological Systems (4 papers) and Advanced Proteomics Techniques and Applications (4 papers). Jinjun Gao is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (4 papers), Selenium in Biological Systems (4 papers) and Advanced Proteomics Techniques and Applications (4 papers). Jinjun Gao collaborates with scholars based in China, United States and France. Jinjun Gao's co-authors include Chu Wang, Yingming Zhao, Di Zhang, Christian A. Olsen, Carlos Moreno–Yruela, Michael Bæk, Lu Yang, Alexander L. Nielsen, Wei Wei and Daniela Danková and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Jinjun Gao

19 papers receiving 1.2k citations

Hit Papers

Class I histone deacetylases (HDAC1–3) are histone lysine... 2022 2026 2023 2024 2022 2023 2024 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jinjun Gao China 14 862 332 141 141 135 22 1.2k
Martin C. Sadowski Australia 20 707 0.8× 298 0.9× 185 1.3× 240 1.7× 69 0.5× 41 1.1k
Chad N. Hancock United States 12 1.0k 1.2× 637 1.9× 74 0.5× 252 1.8× 77 0.6× 16 1.4k
Yongchuan Gu New Zealand 21 662 0.8× 513 1.5× 104 0.7× 181 1.3× 122 0.9× 40 1.2k
Melinda M. Mulvihill United States 15 603 0.7× 254 0.8× 48 0.3× 100 0.7× 48 0.4× 24 1.0k
Deguang Sun China 20 1.1k 1.2× 254 0.8× 78 0.6× 223 1.6× 69 0.5× 39 1.4k
Kristin Brown United States 19 924 1.1× 244 0.7× 87 0.6× 300 2.1× 132 1.0× 33 1.4k
Tatiana Boronina United States 18 774 0.9× 211 0.6× 38 0.3× 95 0.7× 91 0.7× 33 1.2k
Jian Cui China 21 940 1.1× 277 0.8× 81 0.6× 176 1.2× 204 1.5× 39 1.3k
Huali Shen China 23 907 1.1× 210 0.6× 69 0.5× 149 1.1× 66 0.5× 61 1.4k
Esther A. Zaal Netherlands 16 922 1.1× 402 1.2× 102 0.7× 255 1.8× 51 0.4× 42 1.3k

Countries citing papers authored by Jinjun Gao

Since Specialization
Citations

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

Fields of papers citing papers by Jinjun Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinjun Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Jinjun Gao. A scholar is included among the top collaborators of Jinjun Gao 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 Jinjun Gao. Jinjun Gao 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.
Zhou, Yuan‐Fei, Shouli Yuan, Bin Ma, Jinjun Gao, & Chu Wang. (2025). Chemical proteomic profiling of lysine crotonylation using minimalist bioorthogonal probes in mammalian cells. Chemical Science. 16(6). 2843–2849.
2.
Liu, Yicheng, Huan Tang, Fan Yang, et al.. (2025). Discovery of Cysteine Carboxyalkylations by Real-Time Isotopic Signature Targeted Profiling. Journal of the American Chemical Society. 147(9). 7513–7523.
4.
Gao, Jinjun, Ruilong Liu, Kevin Huang, et al.. (2025). Dynamic investigation of hypoxia-induced L-lactylation. Proceedings of the National Academy of Sciences. 122(10). e2404899122–e2404899122. 13 indexed citations
5.
Zhang, Di, Jinjun Gao, Zhiqiang Xu, et al.. (2024). Lysine l-lactylation is the dominant lactylation isomer induced by glycolysis. Nature Chemical Biology. 21(1). 91–99. 67 indexed citations breakdown →
6.
Yuan, Huairui, Xujia Wu, Qiulian Wu, et al.. (2023). Lysine catabolism reprograms tumour immunity through histone crotonylation. Nature. 617(7962). 818–826. 115 indexed citations breakdown →
7.
Li, Xiaomeng, Jinjun Gao, Biao Zhang, et al.. (2023). Multi-objective optimization method for reactor shielding design based on SMS-EMOA. Annals of Nuclear Energy. 194. 110097–110097. 7 indexed citations
8.
Ibrahim, Ziad, Tao Wang, Olivier Destaing, et al.. (2022). Structural insights into p300 regulation and acetylation-dependent genome organisation. Nature Communications. 13(1). 7759–7759. 34 indexed citations
9.
Moreno–Yruela, Carlos, Di Zhang, Wei Wei, et al.. (2022). Class I histone deacetylases (HDAC1–3) are histone lysine delactylases. Science Advances. 8(3). eabi6696–eabi6696. 425 indexed citations breakdown →
10.
Gao, Jinjun, et al.. (2022). An accelerated and optimized algorithm of selenium-encoded isotopic signature targeted profiling for global selenoproteome analysis. Methods in enzymology on CD-ROM/Methods in enzymology. 662. 241–258. 6 indexed citations
11.
Tang, Huan, et al.. (2022). Quantifying Turnover Dynamics of Selenoproteome by Isotopic Perturbation. Analytical Chemistry. 94(27). 9636–9647. 4 indexed citations
12.
Tan, Minjia, Jinjun Gao, Lunzhi Dai, et al.. (2021). Histone lysine methacrylation is a dynamic post-translational modification regulated by HAT1 and SIRT2. Cell Discovery. 7(1). 122–122. 40 indexed citations
14.
Gao, Jinjun, Yuan Liu, Fan Yang, et al.. (2021). CIMAGE2.0: An Expanded Tool for Quantitative Analysis of Activity-Based Protein Profiling (ABPP) Data. Journal of Proteome Research. 20(10). 4893–4900. 26 indexed citations
15.
Bak, Daniel W., Jinjun Gao, Chu Wang, & Eranthie Weerapana. (2018). A Quantitative Chemoproteomic Platform to Monitor Selenocysteine Reactivity within a Complex Proteome. Cell chemical biology. 25(9). 1157–1167.e4. 40 indexed citations
16.
Qin, Ke, Yuntao Zhu, Wei Qin, et al.. (2018). Quantitative Profiling of Protein O-GlcNAcylation Sites by an Isotope-Tagged Cleavable Linker. ACS Chemical Biology. 13(8). 1983–1989. 75 indexed citations
17.
Gao, Jinjun, Fan Yang, Yu Han, et al.. (2018). Selenium-Encoded Isotopic Signature Targeted Profiling. ACS Central Science. 4(8). 960–970. 60 indexed citations
18.
Yang, Fan, et al.. (2018). A Dimethyl-Labeling-Based Strategy for Site-Specifically Quantitative Chemical Proteomics. Analytical Chemistry. 90(15). 9576–9582. 58 indexed citations
19.
Gao, Jinjun, et al.. (2016). Proteomic changes in maize as a response to heavy metal (lead) stress revealed by iTRAQ quantitative proteomics. Genetics and Molecular Research. 15(1). 29 indexed citations
20.
Gao, Jinjun, et al.. (2014). RNA-Seq Analysis of Transcriptome and Glucosinolate Metabolism in Seeds and Sprouts of Broccoli (Brassica oleracea var. italic). PLoS ONE. 9(2). e88804–e88804. 54 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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