Shundi Shi

1.5k total citations
17 papers, 583 citations indexed

About

Shundi Shi is a scholar working on Molecular Biology, Cancer Research and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Shundi Shi has authored 17 papers receiving a total of 583 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 5 papers in Cancer Research and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Shundi Shi's work include RNA and protein synthesis mechanisms (9 papers), Advanced biosensing and bioanalysis techniques (6 papers) and RNA modifications and cancer (5 papers). Shundi Shi is often cited by papers focused on RNA and protein synthesis mechanisms (9 papers), Advanced biosensing and bioanalysis techniques (6 papers) and RNA modifications and cancer (5 papers). Shundi Shi collaborates with scholars based in United States, Japan and North Macedonia. Shundi Shi's co-authors include Jingyue Ju, Nicholas J. Turro, Zengmin Li, Qinglin Meng, Dae Hyun Kim, Jian Wu, Xiaoxu Li, Xiaopeng Bai, James J. Russo and Shenglong Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

Shundi Shi

17 papers receiving 567 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shundi Shi United States 10 453 65 58 57 48 17 583
Guanhui Wu United States 16 732 1.6× 28 0.4× 44 0.8× 48 0.8× 26 0.5× 39 935
Imke Oltmann‐Norden Germany 11 432 1.0× 78 1.2× 62 1.1× 10 0.2× 45 0.9× 13 603
Erick T. Tatro United States 13 360 0.8× 25 0.4× 93 1.6× 60 1.1× 17 0.4× 17 702
James Féthière Canada 14 451 1.0× 59 0.9× 79 1.4× 9 0.2× 18 0.4× 23 704
Russell Garlick United States 10 221 0.5× 46 0.7× 30 0.5× 21 0.4× 15 0.3× 19 519
Yuya Nishimura Japan 17 270 0.6× 13 0.2× 31 0.5× 22 0.4× 236 4.9× 47 687
Sixue Zhang United States 11 220 0.5× 18 0.3× 11 0.2× 45 0.8× 24 0.5× 28 425
Benjamin Rosen Canada 8 482 1.1× 15 0.2× 31 0.5× 7 0.1× 91 1.9× 13 724
Yong-Woon Han Japan 11 351 0.8× 15 0.2× 61 1.1× 12 0.2× 26 0.5× 20 450
Boris S. Ermolinsky Russia 11 300 0.7× 45 0.7× 35 0.6× 8 0.1× 25 0.5× 37 407

Countries citing papers authored by Shundi Shi

Since Specialization
Citations

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

Fields of papers citing papers by Shundi Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shundi Shi

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

All Works

17 of 17 papers shown
1.
Yuan, Xiaohong, Yue Su, Diana Johnson, et al.. (2024). Mass Spectrometry-Based Direct Sequencing of tRNAs De Novo and Quantitative Mapping of Multiple RNA Modifications. Journal of the American Chemical Society. 146(37). 25600–25613. 12 indexed citations
2.
Zhang, Ning, Shundi Shi, Xiaohong Yuan, et al.. (2021). A General LC-MS-Based Method for Direct and De Novo Sequencing of RNA Mixtures Containing both Canonical and Modified Nucleotides. Methods in molecular biology. 2298. 261–277. 4 indexed citations
3.
Zhang, Ning, Shundi Shi, Barney Yoo, et al.. (2020). 2D-HELS MS Seq: A General LC-MS-Based Method for Direct and de novo Sequencing of RNA Mixtures with Different Nucleotide Modifications. Journal of Visualized Experiments. 5 indexed citations
4.
Zhang, Ning, Shundi Shi, Xuanting Wang, et al.. (2020). Direct Sequencing of tRNA by 2D-HELS-AA MS Seq Reveals Its Different Isoforms and Dynamic Base Modifications. ACS Chemical Biology. 15(6). 1464–1472. 15 indexed citations
5.
Zhang, Ning, Shundi Shi, Tony Z. Jia, et al.. (2019). A general LC-MS-based RNA sequencing method for direct analysis of multiple-base modifications in RNA mixtures. Nucleic Acids Research. 47(20). e125–e125. 36 indexed citations
6.
Walker, Marcella D., Shundi Shi, James J. Russo, et al.. (2014). A trabecular plate-like phenotype is overrepresented in Chinese-American versus Caucasian women. Osteoporosis International. 25(12). 2787–2795. 9 indexed citations
7.
Palla, Mirkó, Wenjing Guo, Shundi Shi, et al.. (2014). DNA sequencing by synthesis using 3′-O-azidomethyl nucleotide reversible terminators and surface-enhanced Raman spectroscopic detection. RSC Advances. 4(90). 49342–49346. 5 indexed citations
8.
9.
Kumar, Shiv, Jia Guo, Lin Yu, et al.. (2012). Design and synthesis of cleavable biotinylated dideoxynucleotides for DNA sequencing by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry. Analytical Biochemistry. 427(2). 193–201. 5 indexed citations
10.
Guo, Jia, Ning Xu, Zengmin Li, et al.. (2008). Four-color DNA sequencing with 3′- O -modified nucleotide reversible terminators and chemically cleavable fluorescent dideoxynucleotides. Proceedings of the National Academy of Sciences. 105(27). 9145–9150. 115 indexed citations
11.
Huang, Yuying, Victoria Arango, Shundi Shi, et al.. (2008). Genetic architecture of the human tryptophan hydroxylase 2 Gene: existence of neural isoforms and relevance for major depression. Molecular Psychiatry. 13(8). 813–820. 65 indexed citations
12.
Wu, Jian, Shenglong Zhang, Qinglin Meng, et al.. (2007). 3′- O -modified nucleotides as reversible terminators for pyrosequencing. Proceedings of the National Academy of Sciences. 104(42). 16462–16467. 42 indexed citations
13.
Ju, Jingyue, Dae Hyun Kim, Lanrong Bi, et al.. (2006). Four-color DNA sequencing by synthesis using cleavable fluorescent nucleotide reversible terminators. Proceedings of the National Academy of Sciences. 103(52). 19635–19640. 135 indexed citations
14.
Seo, Tae Seok, Xiaopeng Bai, Dae Hyun Kim, et al.. (2005). Four-color DNA sequencing by synthesis on a chip using photocleavable fluorescent nucleotides. Proceedings of the National Academy of Sciences. 102(17). 5926–5931. 96 indexed citations
15.
Kim, Sobin, Shundi Shi, Tomás Bonome, et al.. (2003). Multiplex genotyping of the human β2-adrenergic receptor gene using solid-phase capturable dideoxynucleotides and mass spectrometry. Analytical Biochemistry. 316(2). 251–258. 14 indexed citations
16.
Brunnert, Steven R., Shundi Shi, & Bo Chang. (1999). Chromosomal Localization of the Loci Responsible for Dystrophic Cardiac Calcinosis in DBA/2 Mice. Genomics. 59(1). 105–107. 13 indexed citations
17.
Shi, Shundi, Bo Chang, & Steven R. Brunnert. (1998). Identification and Cloning of a Truncated Isoform of the Cardiac Sodium-Calcium Exchanger in the BALB/c Mouse Heart. Biochemical Genetics. 36(3-4). 119–135. 5 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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