Yun Mou

918 total citations
47 papers, 665 citations indexed

About

Yun Mou is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Spectroscopy. According to data from OpenAlex, Yun Mou has authored 47 papers receiving a total of 665 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 9 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Spectroscopy. Recurrent topics in Yun Mou's work include Advanced NMR Techniques and Applications (9 papers), Monoclonal and Polyclonal Antibodies Research (8 papers) and Cancer Research and Treatments (6 papers). Yun Mou is often cited by papers focused on Advanced NMR Techniques and Applications (9 papers), Monoclonal and Polyclonal Antibodies Research (8 papers) and Cancer Research and Treatments (6 papers). Yun Mou collaborates with scholars based in Taiwan, United States and Canada. Yun Mou's co-authors include Jerry C. C. Chan, Stephen L. Mayo, Shing‐Jong Huang, Yao‐Hung Tseng, Timothy M. Wannier, Chin‐Lin Guo, Chung‐Yuan Mou, Steve S.‐F. Yu, Chenghao Liu and Po‐Ssu Huang 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

Yun Mou

46 papers receiving 651 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yun Mou Taiwan	16	321	132	118	104	103	47	665
Luke M. Oltrogge United States	20	827 2.6×	98 0.7×	112 0.9×	210 2.0×	72 0.7×	26	1.3k
Ralph Wieneke Germany	20	656 2.0×	488 3.7×	34 0.3×	131 1.3×	145 1.4×	37	1.3k
Akiko Masuda Japan	18	647 2.0×	53 0.4×	55 0.5×	63 0.6×	20 0.2×	32	1.0k
Kui Wu China	17	117 0.4×	145 1.1×	177 1.5×	385 3.7×	23 0.2×	52	1.1k
Hai Pan United States	18	796 2.5×	110 0.8×	210 1.8×	183 1.8×	71 0.7×	45	1.1k
Rivka Goobes Israel	8	204 0.6×	73 0.6×	40 0.3×	69 0.7×	88 0.9×	10	403
Jeremy D. Schmit United States	18	922 2.9×	117 0.9×	44 0.4×	204 2.0×	92 0.9×	48	1.2k
Christian Trachsel Switzerland	14	282 0.9×	54 0.4×	91 0.8×	25 0.2×	22 0.2×	24	733
Jordan H. Chill Israel	20	811 2.5×	40 0.3×	171 1.4×	133 1.3×	73 0.7×	54	1.2k
Noah E. Robinson United States	12	1.1k 3.5×	32 0.2×	292 2.5×	182 1.8×	30 0.3×	13	1.5k

Countries citing papers authored by Yun Mou

Since Specialization

Citations

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

Fields of papers citing papers by Yun Mou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yun Mou

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

All Works

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20 of 20 papers shown

Pan, Yi‐Chung, Chung‐Yuan Mou, Yun‐Wei Chiang, et al.. (2025). Endotoxin-Free Outer Membrane Vesicles for Safe and Modular Anticancer Immunotherapy. ACS Synthetic Biology. 14(1). 148–160. 3 indexed citations

Pan, Yi‐Chung, et al.. (2024). Overcoming the nutritional immunity by engineering iron-scavenging bacteria for cancer therapy. eLife. 12. 4 indexed citations

Lin, Wen-Ching, Yi‐Chung Pan, Chung‐Yuan Mou, et al.. (2024). Bacteria colonization in tumor microenvironment creates a favorable niche for immunogenic chemotherapy. EMBO Molecular Medicine. 16(2). 416–428. 8 indexed citations

Liu, Chenghao, et al.. (2024). Combinatorial leaky probiotic for anticancer immunopotentiation and tumor eradication. Cell Reports Medicine. 5(11). 101793–101793. 4 indexed citations

Lin, Wen‐Ching, et al.. (2024). High‐Affinity Superantigen‐Based Trifunctional Immune Cell Engager Synergizes NK and T Cell Activation for Tumor Suppression. Advanced Science. 11(33). e2310204–e2310204. 2 indexed citations

Liu, Chenghao, et al.. (2022). Development of a TNF-α-mediated Trojan Horse for bacteria-based cancer therapy. Molecular Therapy. 30(7). 2522–2536. 22 indexed citations

Mou, Yun, et al.. (2021). Development of a Novel Cytokine Vehicle Using Filamentous Phage Display for Colorectal Cancer Treatment. ACS Synthetic Biology. 10(8). 2087–2095. 23 indexed citations

Chen, Wentao, Yun Mou, Paige Solomon, et al.. (2021). Large remodeling of the Myc-induced cell surface proteome in B cells and prostate cells creates new opportunities for immunotherapy. Proceedings of the National Academy of Sciences. 118(4). 11 indexed citations

Mou, Yun, et al.. (2019). Sleeping Beauty Transposon-Mediated Asparaginase Gene Delivery by a Nanoparticle Platform. Scientific Reports. 9(1). 11457–11457. 9 indexed citations

10.

Wannier, Timothy M., Matthew M. Moore, Yun Mou, & Stephen L. Mayo. (2015). Computational Design of the β-Sheet Surface of a Red Fluorescent Protein Allows Control of Protein Oligomerization. PLoS ONE. 10(6). e0130582–e0130582. 9 indexed citations

11.

Mou, Yun, et al.. (2015). Computational design of co-assembling protein–DNA nanowires. Nature. 525(7568). 230–233. 76 indexed citations

12.

Huang, Shing‐Jong, et al.. (2013). Hydrogen Bond Formation between Citrate and Phosphate Ions in Spherulites of Fluorapatite. Langmuir. 29(37). 11681–11686. 15 indexed citations

13.

Cheng, Hsin‐Mei, et al.. (2011). Steric Zipper Formed by Hydrophobic Peptide Fragment of Syrian Hamster Prion Protein. Biochemistry. 50(32). 6815–6823. 18 indexed citations

14.

Tseng, Yao‐Hung, et al.. (2008). Solid‐state P‐31 NMR study of the formation of hydroxyapatite in the presence of glutaric acid. Magnetic Resonance in Chemistry. 46(4). 330–334. 17 indexed citations

15.

Mou, Yun, Shu‐Yi Lin, Fang‐Chieh Chou, et al.. (2008). Steric Zipper of the Amyloid Fibrils Formed by Residues 109–122 of the Syrian Hamster Prion Protein. Journal of Molecular Biology. 378(5). 1142–1154. 43 indexed citations

16.

Mou, Yun, et al.. (2007). Determination of the backbone torsion psi angle by tensor correlation of chemical shift anisotropy and heteronuclear dipole–dipole interaction. Solid State Nuclear Magnetic Resonance. 31(2). 72–81. 6 indexed citations

17.

Mou, Yun, et al.. (2007). Determination of chemical shift anisotropies of unresolved carbonyl sites by C-α detection under magic-angle spinning. Journal of Magnetic Resonance. 187(2). 352–356. 8 indexed citations

18.

Huang, Shing‐Jong, Yao‐Hung Tseng, Yun Mou, et al.. (2005). Spectral editing based on selective excitation and Lee-Goldburg cross-polarization under magic angle spinning. Solid State Nuclear Magnetic Resonance. 29(4). 272–277. 23 indexed citations

19.

Mou, Yun, et al.. (2005). Efficient spin–spin scalar coupling mediated C-13 homonuclear polarization transfer in biological solids without proton decoupling. Solid State Nuclear Magnetic Resonance. 29(4). 278–282. 9 indexed citations

20.

Mou, Yun & Jerry C. C. Chan. (2005). Frequency selective polarization transfer based on multiple chemical shift precession. Chemical Physics Letters. 419(1-3). 144–148. 9 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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