Stephen Shang

814 total citations · 1 hit paper
9 papers, 575 citations indexed

About

Stephen Shang is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Stephen Shang has authored 9 papers receiving a total of 575 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 1 paper in Cardiology and Cardiovascular Medicine and 1 paper in Health, Toxicology and Mutagenesis. Recurrent topics in Stephen Shang's work include CRISPR and Genetic Engineering (4 papers), Single-cell and spatial transcriptomics (2 papers) and DNA and Nucleic Acid Chemistry (2 papers). Stephen Shang is often cited by papers focused on CRISPR and Genetic Engineering (4 papers), Single-cell and spatial transcriptomics (2 papers) and DNA and Nucleic Acid Chemistry (2 papers). Stephen Shang collaborates with scholars based in United States and India. Stephen Shang's co-authors include Lei S. Qi, H. Kempton, Augustine Chemparathy, Muneaki Nakamura, Xiaoshu Xu, Leiping Zeng, Dmitry M. Kolpashchikov, Mazhar Adli, Turan Tufan and Jennifer T. Wolstenholme and has published in prestigious journals such as Angewandte Chemie International Edition, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Stephen Shang

9 papers receiving 564 citations

Hit Papers

Engineered miniature CRISPR-Cas system for mammalian geno... 2021 2026 2022 2024 2021 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen Shang United States 8 497 85 47 41 38 9 575
Virginia López Spain 11 440 0.9× 48 0.6× 17 0.4× 28 0.7× 17 0.4× 19 530
Monika Papworth United Kingdom 9 660 1.3× 72 0.8× 3 0.1× 39 1.0× 8 0.2× 13 746
А. Л. Чернышова Russia 12 258 0.5× 41 0.5× 69 1.5× 58 1.4× 73 1.9× 53 498
Yuzhou Xu China 5 183 0.4× 36 0.4× 3 0.1× 19 0.5× 37 1.0× 13 342
Piotr Kamenski Russia 18 771 1.6× 35 0.4× 8 0.2× 25 0.6× 13 0.3× 52 868
Sebastian Schröder Germany 10 354 0.7× 32 0.4× 9 0.2× 36 0.9× 20 0.5× 17 462
Sophie Farinelle Luxembourg 10 173 0.3× 27 0.3× 48 1.0× 44 1.1× 8 0.2× 19 379
Xinyu Ling China 15 410 0.8× 58 0.7× 1 0.0× 37 0.9× 32 0.8× 29 533
Jonathan T. Vu United States 8 440 0.9× 109 1.3× 1 0.0× 39 1.0× 12 0.3× 14 473

Countries citing papers authored by Stephen Shang

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Shang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen Shang

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

All Works

9 of 9 papers shown
1.
Shang, Stephen, et al.. (2022). Computation empowers CRISPR discovery and technology. Nature Computational Science. 2(9). 533–535. 2 indexed citations
2.
Gao, Yuchen, Mengting Han, Stephen Shang, Haifeng Wang, & Lei S. Qi. (2021). Interrogation of the dynamic properties of higher-order heterochromatin using CRISPR-dCas9. Molecular Cell. 81(20). 4287–4299.e5. 22 indexed citations
3.
Xu, Xiaoshu, Augustine Chemparathy, Leiping Zeng, et al.. (2021). Engineered miniature CRISPR-Cas system for mammalian genome regulation and editing. Molecular Cell. 81(20). 4333–4345.e4. 262 indexed citations breakdown →
4.
Shang, Stephen, Jiekun Yang, Amir A. Jazaeri, et al.. (2019). Chemotherapy-Induced Distal Enhancers Drive Transcriptional Programs to Maintain the Chemoresistant State in Ovarian Cancer. Cancer Research. 79(18). 4599–4611. 44 indexed citations
5.
Szlachta, Karol, Cem Kuscu, Turan Tufan, et al.. (2018). CRISPR knockout screening identifies combinatorial drug targets in pancreatic cancer and models cellular drug response. Nature Communications. 9(1). 4275–4275. 57 indexed citations
6.
Brown, R., Turan Tufan, Stephen Shang, et al.. (2018). Super-enhancers maintain renin-expressing cell identity and memory to preserve multi-system homeostasis. Journal of Clinical Investigation. 128(11). 4787–4803. 34 indexed citations
7.
Drobná, Zuzana, Anne D. Henriksen, Jennifer T. Wolstenholme, et al.. (2017). Transgenerational Effects of Bisphenol A on Gene Expression and DNA Methylation of Imprinted Genes in Brain. Endocrinology. 159(1). 132–144. 74 indexed citations
8.
Shang, Stephen, et al.. (2010). Molecular Logic Gates Connected through DNA Four‐Way Junctions. Angewandte Chemie International Edition. 49(26). 4459–4462. 66 indexed citations
9.
Shang, Stephen, et al.. (2010). Molecular Logic Gates Connected through DNA Four‐Way Junctions. Angewandte Chemie. 122(26). 4561–4564. 14 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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