Sheng Ding

6.7k total citations
73 papers, 4.5k citations indexed

About

Sheng Ding is a scholar working on Molecular Biology, Biomedical Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Sheng Ding has authored 73 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Molecular Biology, 10 papers in Biomedical Engineering and 9 papers in Cellular and Molecular Neuroscience. Recurrent topics in Sheng Ding's work include CRISPR and Genetic Engineering (13 papers), Pluripotent Stem Cells Research (12 papers) and Advanced biosensing and bioanalysis techniques (7 papers). Sheng Ding is often cited by papers focused on CRISPR and Genetic Engineering (13 papers), Pluripotent Stem Cells Research (12 papers) and Advanced biosensing and bioanalysis techniques (7 papers). Sheng Ding collaborates with scholars based in United States, China and South Korea. Sheng Ding's co-authors include Peter G. Schultz, Yu Zhang, Min Xie, Xu Wu, Deepak Srivastava, Yu Chen, Yanxia Liu, Lei S. Qi, Tianhua Ma and Qiang Ding and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Sheng Ding

70 papers receiving 4.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sheng Ding United States 35 3.4k 597 488 401 357 73 4.5k
Fang Mei United States 36 2.5k 0.7× 486 0.8× 472 1.0× 416 1.0× 544 1.5× 110 4.5k
Zhonggang Hou United States 25 3.3k 1.0× 423 0.7× 867 1.8× 260 0.6× 182 0.5× 32 4.0k
Frank Edenhofer Germany 32 3.8k 1.1× 388 0.6× 419 0.9× 507 1.3× 271 0.8× 96 5.0k
Trond Aasen Spain 25 3.0k 0.9× 335 0.6× 363 0.7× 203 0.5× 322 0.9× 48 3.7k
Ying Liu China 35 2.7k 0.8× 332 0.6× 635 1.3× 338 0.8× 222 0.6× 171 4.0k
Guokai Chen Macao 27 2.2k 0.6× 483 0.8× 770 1.6× 216 0.5× 243 0.7× 57 3.1k
Sebastian Diecke Germany 30 2.6k 0.8× 872 1.5× 844 1.7× 547 1.4× 256 0.7× 68 3.7k
Tom Burdon United Kingdom 20 3.5k 1.0× 386 0.6× 504 1.0× 306 0.8× 523 1.5× 33 4.1k
Vittorio de Franciscis Italy 36 2.9k 0.8× 266 0.4× 483 1.0× 304 0.8× 437 1.2× 99 3.9k
Tomo Šarić Germany 35 2.9k 0.9× 895 1.5× 467 1.0× 422 1.1× 798 2.2× 84 4.7k

Countries citing papers authored by Sheng Ding

Since Specialization
Citations

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

Fields of papers citing papers by Sheng Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheng Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Sheng Ding. A scholar is included among the top collaborators of Sheng Ding 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 Sheng Ding. Sheng Ding 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.
Zhou, Wei, Pengqi Wang, Xiaodan Hu, et al.. (2024). Extended pegRNAs enhance the editing capability of Prime editing. Trends in biotechnology. 43(1). 206–219.
2.
Ding, Sheng, Gangyi Chen, Sifan Wang, et al.. (2024). Ultrafast DNA detection based on turn-back loop primer-accelerated LAMP (TLAMP). Analytica Chimica Acta. 1321. 343041–343041. 1 indexed citations
3.
Lin, Jun, Dan Liu, Zhen Gao, et al.. (2022). Characterization of light chain c-terminal extension sequence variant in one bispecific antibody. Frontiers in Chemistry. 10. 994472–994472. 1 indexed citations
4.
Dominik, Pawel K., Sheng Ding, Wenjing Yang, et al.. (2021). Dual checkpoint blockade of CD47 and PD-L1 using an affinity-tuned bispecific antibody maximizes antitumor immunity. Journal for ImmunoTherapy of Cancer. 9(10). e003464–e003464. 96 indexed citations
5.
Chen, Xinyue, Sonali Chaturvedi, Weihan Li, et al.. (2021). A DNA repair pathway can regulate transcriptional noise to promote cell fate transitions. Science. 373(6557). 60 indexed citations
6.
Ding, Sheng, Gangyi Chen, Yinghua Wei, et al.. (2021). Sequence-specific and multiplex detection of COVID-19 virus (SARS-CoV-2) using proofreading enzyme-mediated probe cleavage coupled with isothermal amplification. Biosensors and Bioelectronics. 178. 113041–113041. 34 indexed citations
7.
Zhang, Xi, et al.. (2020). Development of a Simple In Vitro Assay To Identify and Evaluate Nucleotide Analogs against SARS-CoV-2 RNA-Dependent RNA Polymerase. Antimicrobial Agents and Chemotherapy. 65(1). 23 indexed citations
8.
Theodoris, Christina V., Ping Zhou, Lei Liu, et al.. (2020). Network-based screen in iPSC-derived cells reveals therapeutic candidate for heart valve disease. Science. 371(6530). 66 indexed citations
9.
Ding, Sheng, Rong Chen, Gangyi Chen, et al.. (2019). One-step colorimetric genotyping of single nucleotide polymorphism using probe-enhanced loop-mediated isothermal amplification (PE-LAMP). Theranostics. 9(13). 3723–3731. 38 indexed citations
10.
Liu, Peng, Meng Chen, Yanxia Liu, Lei S. Qi, & Sheng Ding. (2018). CRISPR-Based Chromatin Remodeling of the Endogenous Oct4 or Sox2 Locus Enables Reprogramming to Pluripotency. Cell stem cell. 22(2). 252–261.e4. 119 indexed citations
11.
Xue, Teng, Weiwei Chen, Zhihan Liu, et al.. (2018). NLRP3 Inflammasome Is Involved in Q-VD-OPH Induced Necroptosis Following Cerebral Ischemia-Reperfusion Injury. Neurochemical Research. 43(6). 1200–1209. 25 indexed citations
12.
Song, Shumei, Min Xie, Ailing W. Scott, et al.. (2017). A Novel YAP1 Inhibitor Targets CSC-Enriched Radiation-Resistant Cells and Exerts Strong Antitumor Activity in Esophageal Adenocarcinoma. Molecular Cancer Therapeutics. 17(2). 443–454. 141 indexed citations
13.
Nie, Baoming, Tao Nie, Xiaoyan Hui, et al.. (2017). Brown Adipogenic Reprogramming Induced by a Small Molecule. Cell Reports. 18(3). 624–635. 53 indexed citations
14.
Mohamed, Tamer, Nicole R. Stone, Emily Berry, et al.. (2016). Chemical Enhancement of In Vitro and In Vivo Direct Cardiac Reprogramming. Circulation. 135(10). 978–995. 177 indexed citations
15.
Zhang, Guanqun, Haiying Li, Tongzhou Li, et al.. (2016). Multi-system state shifts and cognitive deficits induced by chronic morphine during abstinence. Neuroscience Letters. 640. 144–151. 4 indexed citations
16.
Chen, Yu, Yanxia Liu, Tianhua Ma, et al.. (2015). Small Molecules Enhance CRISPR Genome Editing in Pluripotent Stem Cells. Cell stem cell. 16(2). 142–147. 329 indexed citations
17.
Ma, Tianhua, Yue Xu, Yu Chen, et al.. (2015). Atg5-independent autophagy regulates mitochondrial clearance and is essential for iPSC reprogramming. Nature Cell Biology. 17(11). 1379–1387. 139 indexed citations
18.
Lee, Jong‐Kook, Xu Wu, Marina Pasca di Magliano, et al.. (2007). A Small‐Molecule Antagonist of the Hedgehog Signaling Pathway. ChemBioChem. 8(16). 1916–1919. 61 indexed citations
19.
Emre, Nil, R.L. Coleman, & Sheng Ding. (2007). A chemical approach to stem cell biology. Current Opinion in Chemical Biology. 11(3). 252–258. 43 indexed citations
20.
Wu, Xu, John R. Walker, Jie Zhang, Sheng Ding, & Peter G. Schultz. (2004). Purmorphamine Induces Osteogenesis by Activation of the Hedgehog Signaling Pathway. Chemistry & Biology. 11(9). 1229–1238. 186 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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