Yichi Su

1.4k total citations
18 papers, 1.0k citations indexed

About

Yichi Su is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Biomedical Engineering. According to data from OpenAlex, Yichi Su has authored 18 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 4 papers in Biomedical Engineering. Recurrent topics in Yichi Su's work include bioluminescence and chemiluminescence research (6 papers), RNA and protein synthesis mechanisms (4 papers) and Advanced biosensing and bioanalysis techniques (3 papers). Yichi Su is often cited by papers focused on bioluminescence and chemiluminescence research (6 papers), RNA and protein synthesis mechanisms (4 papers) and Advanced biosensing and bioanalysis techniques (3 papers). Yichi Su collaborates with scholars based in United States, Canada and Russia. Yichi Su's co-authors include Ming C. Hammond, Edward Y. Skolnik, Jessica E. Treisman, Zachary F. Hallberg, Michael Z. Lin, Scott Hickey, Hongzhi Liu, Elena Becker, Shirley Liu and John A. Ronald and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Genes & Development.

In The Last Decade

Yichi Su

18 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yichi Su United States 13 833 167 151 141 131 18 1.0k
Clément Nizak France 16 803 1.0× 249 1.5× 107 0.7× 71 0.5× 66 0.5× 24 1.3k
Elena M. Lucchetta United States 12 363 0.4× 390 2.3× 207 1.4× 216 1.5× 70 0.5× 14 984
Lynne Chang United States 13 581 0.7× 59 0.4× 97 0.6× 73 0.5× 95 0.7× 17 1.1k
Erin D. Jeffery United States 22 867 1.0× 97 0.6× 173 1.1× 74 0.5× 131 1.0× 34 1.5k
T. V. Chepurnykh Russia 7 758 0.9× 201 1.2× 51 0.3× 187 1.3× 140 1.1× 13 1.2k
Scott M. Coyle United States 13 1.3k 1.5× 260 1.6× 144 1.0× 59 0.4× 206 1.6× 22 1.6k
Alona Sosinsky United Kingdom 14 1.3k 1.5× 56 0.3× 64 0.4× 154 1.1× 291 2.2× 23 1.6k
Elena A. Solovieva Russia 7 722 0.9× 194 1.2× 47 0.3× 166 1.2× 147 1.1× 12 1.1k
Dierk Niessing Germany 30 2.3k 2.8× 74 0.4× 128 0.8× 120 0.9× 216 1.6× 70 2.6k
Yuhong Pang China 16 484 0.6× 440 2.6× 116 0.8× 43 0.3× 56 0.4× 37 966

Countries citing papers authored by Yichi Su

Since Specialization
Citations

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

Fields of papers citing papers by Yichi Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yichi Su

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

All Works

18 of 18 papers shown
1.
Hao, Chenzhou, Chao Gao, Michiel Hageman, et al.. (2025). Pharmacodynamics of Akt drugs revealed by a kinase-modulated bioluminescent indicator. Nature Chemical Biology. 21(8). 1194–1204. 1 indexed citations
2.
Gao, Chao, Yan Wu, Hui Wang, et al.. (2025). An optimized luciferin formulation for NanoLuc-based in vivo bioluminescence imaging. Scientific Reports. 15(1). 12884–12884. 1 indexed citations
3.
Liao, Yi‐Han, et al.. (2023). Medial and dorsal lateral septum involving social disruption stress-primed escalation in acid-induced writhes. Frontiers in Molecular Neuroscience. 16. 1158525–1158525. 2 indexed citations
4.
Wu, Yan, Joel R. Walker, Michael Westberg, et al.. (2023). Kinase-Modulated Bioluminescent Indicators Enable Noninvasive Imaging of Drug Activity in the Brain. ACS Central Science. 9(4). 719–732. 17 indexed citations
5.
Su, Yichi, Joel R. Walker, Mary P. Hall, et al.. (2023). An optimized bioluminescent substrate for non-invasive imaging in the brain. Nature Chemical Biology. 19(6). 731–739. 38 indexed citations
6.
Liu, Shirley, Yichi Su, Michael Z. Lin, & John A. Ronald. (2021). Brightening up Biology: Advances in Luciferase Systems for in Vivo Imaging. ACS Chemical Biology. 16(12). 2707–2718. 71 indexed citations
7.
Su, Yichi, Joel R. Walker, Yun‐Hee Park, et al.. (2020). Novel NanoLuc substrates enable bright two-population bioluminescence imaging in animals. Nature Methods. 17(8). 852–860. 128 indexed citations
8.
Su, Yichi & Ming C. Hammond. (2020). RNA-based fluorescent biosensors for live cell imaging of small molecules and RNAs. Current Opinion in Biotechnology. 63. 157–166. 70 indexed citations
9.
Fin, Andréa, Alexander R. Rovira, Yichi Su, et al.. (2020). Tuning the Innate Immune Response to Cyclic Dinucleotides by Using Atomic Mutagenesis. ChemBioChem. 21(18). 2595–2598. 7 indexed citations
10.
Su, Yichi, et al.. (2018). Synthetic Biology of Small RNAs and Riboswitches. Microbiology Spectrum. 6(3). 43 indexed citations
11.
Hallberg, Zachary F., et al.. (2017). Engineering and In Vivo Applications of Riboswitches. Annual Review of Biochemistry. 86(1). 515–539. 104 indexed citations
12.
Bose, Debojit, Yichi Su, Assaf Marcus, David H. Raulet, & Ming C. Hammond. (2016). An RNA-Based Fluorescent Biosensor for High-Throughput Analysis of the cGAS-cGAMP-STING Pathway. Cell chemical biology. 23(12). 1539–1549. 51 indexed citations
13.
Su, Yichi, et al.. (2016). In Vitro and In Vivo Enzyme Activity Screening via RNA-Based Fluorescent Biosensors for S-Adenosyl-l-homocysteine (SAH). Journal of the American Chemical Society. 138(22). 7040–7047. 76 indexed citations
14.
Kellenberger, Colleen A., Stephen C. Wilson, Scott Hickey, et al.. (2015). GEMM-I riboswitches from Geobacter sense the bacterial second messenger cyclic AMP-GMP. Proceedings of the National Academy of Sciences. 112(17). 5383–5388. 107 indexed citations
15.
Wang, Lihong, Yichi Su, G. Yancey Gillespie, et al.. (2006). Systemic anti-HGF monoclonal antibody therapy induces regression of intracranial glioma xenograft. 66. 276–276. 1 indexed citations
16.
Su, Yichi, Corinne Maurel-Zaffran, Jessica E. Treisman, & Edward Y. Skolnik. (2000). The Ste20 Kinase Misshapen Regulates Both Photoreceptor Axon Targeting and Dorsal Closure, Acting Downstream of Distinct Signals. Molecular and Cellular Biology. 20(13). 4736–4744. 45 indexed citations
17.
Liu, Hongzhi, Yichi Su, Elena Becker, Jessica E. Treisman, & Edward Y. Skolnik. (1999). A Drosophila TNF-receptor-associated factor (TRAF) binds the Ste20 kinase Misshapen and activates Jun kinase. Current Biology. 9(2). 101–104. 134 indexed citations
18.
Su, Yichi, Jessica E. Treisman, & Edward Y. Skolnik. (1998). The Drosophila Ste20-related kinase misshapen is required for embryonic dorsal closure and acts through a JNK MAPK module on an evolutionarily conserved signaling pathway. Genes & Development. 12(15). 2371–2380. 131 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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