Fan Liu

3.8k total citations
98 papers, 2.4k citations indexed

About

Fan Liu is a scholar working on Molecular Biology, Spectroscopy and Cell Biology. According to data from OpenAlex, Fan Liu has authored 98 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Molecular Biology, 35 papers in Spectroscopy and 16 papers in Cell Biology. Recurrent topics in Fan Liu's work include Mass Spectrometry Techniques and Applications (24 papers), Advanced Proteomics Techniques and Applications (23 papers) and Metabolomics and Mass Spectrometry Studies (13 papers). Fan Liu is often cited by papers focused on Mass Spectrometry Techniques and Applications (24 papers), Advanced Proteomics Techniques and Applications (23 papers) and Metabolomics and Mass Spectrometry Studies (13 papers). Fan Liu collaborates with scholars based in Germany, China and United States. Fan Liu's co-authors include Albert J. R. Heck, Dirk T. S. Rijkers, Harm Post, Philip Lössl, Rosa Viner, Richard A. Scheltema, Frank Glorius, Michael Schedler, Xavier Bugaut and Roland Fröhlich and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Fan Liu

92 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fan Liu Germany	25	1.5k	909	390	210	183	98	2.4k
Evgeniy V. Petrotchenko Canada	30	1.7k 1.1×	818 0.9×	216 0.6×	162 0.8×	290 1.6×	60	2.5k
Peter R. Baker United States	23	2.0k 1.3×	1.3k 1.4×	309 0.8×	108 0.5×	112 0.6×	50	2.8k
Rosa Viner United States	30	2.2k 1.5×	1.4k 1.6×	380 1.0×	232 1.1×	116 0.6×	70	3.3k
Devin K. Schweppe United States	27	2.8k 1.8×	1.1k 1.2×	605 1.6×	227 1.1×	119 0.7×	53	3.6k
Michael J. Huddleston United States	25	2.9k 1.9×	1.1k 1.2×	593 1.5×	169 0.8×	168 0.9×	33	3.7k
Frank Stein Germany	30	2.0k 1.3×	352 0.4×	370 0.9×	586 2.8×	203 1.1×	98	3.3k
Kevin R. MacKenzie United States	24	2.4k 1.6×	295 0.3×	352 0.9×	154 0.7×	215 1.2×	53	3.3k
Kirti Sharma India	23	1.9k 1.2×	551 0.6×	309 0.8×	117 0.6×	117 0.6×	67	3.0k
Justin D. Blethrow United States	16	3.1k 2.0×	643 0.7×	871 2.2×	196 0.9×	91 0.5×	20	4.0k
Gavain M.A. Sweetman United Kingdom	14	2.3k 1.5×	1.6k 1.8×	220 0.6×	94 0.4×	67 0.4×	19	3.0k

Countries citing papers authored by Fan Liu

Since Specialization

Citations

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

Fields of papers citing papers by Fan Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fan Liu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Zhu, Ying, et al.. (2025). Optimized In‐Solution and Gas‐Phase Chemistry Enables High‐Efficiency Interactome Mapping by DSBSO‐Based Cross‐Linking Mass Spectrometry. Angewandte Chemie International Edition. 65(4). e18355–e18355.

Bogdanow, Boris, et al.. (2025). Structural host-virus interactome profiling of intact infected cells. Nature Communications. 16(1). 6713–6713.

Liu, Fan, et al.. (2024). Early detection of dark-affected plant mechanical responses using enhanced electrical signals. Plant Methods. 20(1). 49–49. 1 indexed citations

Puchkov, Dmytro, et al.. (2024). Integrative Molecular Dynamics Simulations Untangle Cross‐Linking Data to Unveil Mitochondrial Protein Distributions. Angewandte Chemie International Edition. 64(6). e202417804–e202417804. 5 indexed citations

Bogdanow, Boris, et al.. (2024). Redesigning error control in cross-linking mass spectrometry enables more robust and sensitive protein-protein interaction studies. Molecular Systems Biology. 21(1). 90–106. 1 indexed citations

Zhu, Ying, et al.. (2024). Yeast TLDc domain proteins regulate assembly state and subcellular localization of the V-ATPase. The EMBO Journal. 43(9). 1870–1897. 5 indexed citations

Zhu, Ying, et al.. (2024). Cross-link assisted spatial proteomics to map sub-organelle proteomes and membrane protein topologies. Nature Communications. 15(1). 3290–3290. 28 indexed citations

Liu, Fan, et al.. (2024). RawVegetable 2.0: Refining XL-MS Data Acquisition through Enhanced Quality Control. Journal of Proteome Research. 23(8). 3141–3148. 3 indexed citations

Nadler-Holly, Michal, Martin Penkert, Eberhard Krause, et al.. (2024). Extensive protein pyrophosphorylation revealed in human cell lines. Nature Chemical Biology. 20(10). 1305–1316. 17 indexed citations

10.

Piazza, Ilaria, et al.. (2023). The potential of cross-linking mass spectrometry in the development of protein–protein interaction modulators. Current Opinion in Structural Biology. 82. 102648–102648. 7 indexed citations

11.

Liu, Fan, et al.. (2023). Controlling the interaction between CaMKII and Calmodulin with a photocrosslinking unnatural amino acid. Protein Science. 32(11). e4798–e4798. 1 indexed citations

12.

Lützkendorf, Janine, et al.. (2023). An antagonism between Spinophilin and Syd-1 operates upstream of memory-promoting presynaptic long-term plasticity. eLife. 12. 2 indexed citations

13.

Jang, Wonyul, Dmytro Puchkov, YongTian Liang, et al.. (2022). Endosomal lipid signaling reshapes the endoplasmic reticulum to control mitochondrial function. Science. 378(6625). eabq5209–eabq5209. 51 indexed citations

14.

Qi, Xin, Fan Liu, Qin Hu, et al.. (2022). ASIC1a senses lactate uptake to regulate metabolism in neurons. Redox Biology. 51. 102253–102253. 19 indexed citations

15.

Lo, Wen‐Ting, Yingyi Zhang, Oscar Vadas, et al.. (2022). Structural basis of phosphatidylinositol 3-kinase C2α function. Nature Structural & Molecular Biology. 29(3). 218–228. 22 indexed citations

16.

Liu, Fan, et al.. (2020). ASIC1a channels regulate mitochondrial ion signaling and energy homeostasis in neurons. Journal of Neurochemistry. 153(2). 203–215. 15 indexed citations

17.

Petzoldt, Astrid G., J.H. Driller, Janine Lützkendorf, et al.. (2020). RIM-binding protein couples synaptic vesicle recruitment to release sites. The Journal of Cell Biology. 219(7). 20 indexed citations

18.

Nadler-Holly, Michal, et al.. (2020). Expanding the Depth and Sensitivity of Cross-Link Identification by Differential Ion Mobility Using High-Field Asymmetric Waveform Ion Mobility Spectrometry. Analytical Chemistry. 92(15). 10495–10503. 40 indexed citations

19.

Rabouw, Huib H., Linda J. Visser, Martijn A. Langereis, et al.. (2020). Inhibition of the integrated stress response by viral proteins that block p-eIF2–eIF2B association. Nature Microbiology. 5(11). 1361–1373. 33 indexed citations

20.

Zhang, Yi, et al.. (2004). Binding activity of annexin B1 to externalized phosphatidylserine. 25(1). 44–46. 4 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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