An Chi

5.8k total citations
28 papers, 2.5k citations indexed

About

An Chi is a scholar working on Molecular Biology, Spectroscopy and Immunology. According to data from OpenAlex, An Chi has authored 28 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 8 papers in Spectroscopy and 5 papers in Immunology. Recurrent topics in An Chi's work include Advanced Proteomics Techniques and Applications (8 papers), Mass Spectrometry Techniques and Applications (6 papers) and Immune cells in cancer (4 papers). An Chi is often cited by papers focused on Advanced Proteomics Techniques and Applications (8 papers), Mass Spectrometry Techniques and Applications (6 papers) and Immune cells in cancer (4 papers). An Chi collaborates with scholars based in United States, Chile and Czechia. An Chi's co-authors include Donald F. Hunt, Jeffrey Shabanowitz, John E. P. Syka, Joshua J. Coon, Beatrix Ueberheide, Leann M. Mikesh, Lewis Y. Geer, Dina L. Bai, Daniel J. Burke and Olga G. Troyanskaya and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The EMBO Journal.

In The Last Decade

An Chi

27 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
An Chi United States 22 1.6k 717 375 288 231 28 2.5k
Josip Blonder United States 29 1.6k 1.0× 1.1k 1.5× 170 0.5× 200 0.7× 147 0.6× 63 2.4k
Paul Taylor Canada 28 1.6k 1.0× 329 0.5× 178 0.5× 233 0.8× 126 0.5× 67 2.2k
Hakan Sarioglu Germany 32 1.4k 0.8× 365 0.5× 175 0.5× 168 0.6× 136 0.6× 41 2.6k
Christopher S. Hughes Canada 14 1.7k 1.0× 762 1.1× 246 0.7× 282 1.0× 155 0.7× 26 2.5k
Robert Ahrends Germany 26 1.7k 1.1× 797 1.1× 218 0.6× 79 0.3× 82 0.4× 80 2.3k
Guanghui Han China 25 2.0k 1.3× 1.2k 1.7× 136 0.4× 206 0.7× 262 1.1× 47 2.8k
Yu Lu United States 24 1.3k 0.8× 382 0.5× 278 0.7× 230 0.8× 290 1.3× 60 2.2k
Hong‐Lin Chan Taiwan 30 1.1k 0.7× 164 0.2× 183 0.5× 292 1.0× 136 0.6× 103 2.3k
Hartmut Kratzin Germany 32 2.1k 1.3× 255 0.4× 524 1.4× 157 0.5× 472 2.0× 80 3.2k
Tine E. Thingholm Denmark 17 2.2k 1.3× 1.8k 2.5× 180 0.5× 225 0.8× 89 0.4× 19 2.9k

Countries citing papers authored by An Chi

Since Specialization
Citations

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

Fields of papers citing papers by An Chi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of An Chi

This figure shows the co-authorship network connecting the top 25 collaborators of An Chi. A scholar is included among the top collaborators of An 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 An Chi. An 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.
Ramil, Carlo P., Handan Xiang, Peng Zhang, et al.. (2024). Extracellular vesicles released by cancer-associated fibroblast-induced myeloid-derived suppressor cells inhibit T-cell function. OncoImmunology. 13(1). 2300882–2300882. 10 indexed citations
2.
Müller, Stephan A., Merav D. Shmueli, Xiao Feng, et al.. (2023). The Alzheimer’s disease-linked protease BACE1 modulates neuronal IL-6 signaling through shedding of the receptor gp130. Molecular Neurodegeneration. 18(1). 13–13. 24 indexed citations
3.
Li, Xuanwen, Divya Chandra, Simon Letarte, et al.. (2021). Profiling Active Enzymes for Polysorbate Degradation in Biotherapeutics by Activity-Based Protein Profiling. Analytical Chemistry. 93(23). 8161–8169. 43 indexed citations
4.
Xiang, Handan, Carlo P. Ramil, Josephine Hai, et al.. (2020). Cancer-Associated Fibroblasts Promote Immunosuppression by Inducing ROS-Generating Monocytic MDSCs in Lung Squamous Cell Carcinoma. Cancer Immunology Research. 8(4). 436–450. 190 indexed citations
5.
Ruprecht, Benjamin, Julie Di Bernardo, Zhao Wang, et al.. (2020). A mass spectrometry-based proteome map of drug action in lung cancer cell lines. Nature Chemical Biology. 16(10). 1111–1119. 34 indexed citations
6.
Schwaid, Adam G., et al.. (2018). Comparison of the Rat and Human Dorsal Root Ganglion Proteome. Scientific Reports. 8(1). 13469–13469. 31 indexed citations
7.
8.
9.
Morris, Melody K., An Chi, Ioannis N. Melas, & Leonidas G. Alexopoulos. (2013). Phosphoproteomics in drug discovery. Drug Discovery Today. 19(4). 425–432. 26 indexed citations
10.
Sridhara, Viswanadham, Dina L. Bai, An Chi, et al.. (2012). Increasing peptide identifications and decreasing search times for ETD spectra by pre-processing and calculation of parent precursor charge. Proteome Science. 10(1). 8–8. 5 indexed citations
11.
Paweletz, Cloud P., Jannik N. Andersen, Roy M. Pollock, et al.. (2011). Identification of Direct Target Engagement Biomarkers for Kinase-Targeted Therapeutics. PLoS ONE. 6(10). e26459–e26459. 23 indexed citations
12.
Andersen, Jannik N., Sriram Sathyanarayanan, Alessandra Di Bacco, et al.. (2010). Pathway-Based Identification of Biomarkers for Targeted Therapeutics: Personalized Oncology with PI3K Pathway Inhibitors. Science Translational Medicine. 2(43). 43ra55–43ra55. 134 indexed citations
13.
Chi, An, Curtis Huttenhower, Lewis Y. Geer, et al.. (2007). Analysis of phosphorylation sites on proteins from Saccharomyces cerevisiae by electron transfer dissociation (ETD) mass spectrometry. Proceedings of the National Academy of Sciences. 104(7). 2193–2198. 460 indexed citations
14.
Chi, An, Simón Beard, Aaron J. Mackey, et al.. (2007). Periplasmic Proteins of the Extremophile Acidithiobacillus ferrooxidans. Molecular & Cellular Proteomics. 6(12). 2239–2251. 79 indexed citations
15.
Harris, Thurl E., An Chi, Jeffrey Shabanowitz, et al.. (2006). mTOR‐dependent stimulation of the association of eIF4G and eIF3 by insulin. The EMBO Journal. 25(8). 1659–1668. 102 indexed citations
16.
Hu, Zhang-Zhi, Julio C. Valencia, Hongzhan Huang, et al.. (2006). Comparative bioinformatics analyses and profiling of lysosome-related organelle proteomes. International Journal of Mass Spectrometry. 259(1-3). 147–160. 40 indexed citations
17.
Mikesh, Leann M., Beatrix Ueberheide, An Chi, et al.. (2006). The utility of ETD mass spectrometry in proteomic analysis. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1764(12). 1811–1822. 419 indexed citations
18.
Harris, Thurl E., An Chi, Jeffrey Shabanowitz, et al.. (2006). Insulin Controls Subcellular Localization and Multisite Phosphorylation of the Phosphatidic Acid Phosphatase, Lipin 1. Journal of Biological Chemistry. 282(1). 277–286. 180 indexed citations
19.
Valencia, Julio C., Hidenori Watabe, An Chi, et al.. (2006). Sorting of Pmel17 to melanosomes through the plasma membrane by AP1 and AP2: evidence for the polarized nature of melanocytes. Journal of Cell Science. 119(6). 1080–1091. 47 indexed citations
20.
Yang, Feng, et al.. (2005). Saccharomyces cerevisiae Rad9 Acts as a Mec1 Adaptor to Allow Rad53 Activation. Current Biology. 15(15). 1364–1375. 188 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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