Sha Cao

2.5k total citations · 1 hit paper
37 papers, 1.8k citations indexed

About

Sha Cao is a scholar working on Molecular Biology, Molecular Medicine and Genetics. According to data from OpenAlex, Sha Cao has authored 37 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 17 papers in Molecular Medicine and 14 papers in Genetics. Recurrent topics in Sha Cao's work include Antibiotic Resistance in Bacteria (17 papers), Bacterial Genetics and Biotechnology (12 papers) and Antibiotics Pharmacokinetics and Efficacy (10 papers). Sha Cao is often cited by papers focused on Antibiotic Resistance in Bacteria (17 papers), Bacterial Genetics and Biotechnology (12 papers) and Antibiotics Pharmacokinetics and Efficacy (10 papers). Sha Cao collaborates with scholars based in Sweden, China and Switzerland. Sha Cao's co-authors include Diarmaid Hughes, Dan I. Andersson, Linus Sandegren, Erik Gullberg, Otto G. Berg, Douglas L. Huseby, Gerrit Brandis, Lena E. Friberg, Sven N. Hobbie and Aizhen Guo and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Bacteriology.

In The Last Decade

Sha Cao

35 papers receiving 1.7k citations

Hit Papers

Selection of Resistant Bacteria at Very Low Antibiotic Co... 2011 2026 2016 2021 2011 400 800 1.2k

Peers

Sha Cao
Sha Cao
Citations per year, relative to Sha Cao Sha Cao (= 1×) peers Erik Gullberg

Countries citing papers authored by Sha Cao

Since Specialization
Citations

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

Fields of papers citing papers by Sha Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sha Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Sha Cao. A scholar is included among the top collaborators of Sha Cao 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 Sha Cao. Sha Cao 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.
Cao, Sha, Bo Lundgren, Katharina Klöditz, et al.. (2024). Design, synthesis, and in vitro biological evaluation of meta-sulfonamidobenzamide-based antibacterial LpxH inhibitors. European Journal of Medicinal Chemistry. 278. 116790–116790. 1 indexed citations
2.
Aranzana‐Climent, Vincent, Sha Cao, Jon Hansen, et al.. (2024). Model-informed drug development for antimicrobials: translational pharmacokinetic-pharmacodynamic modelling of apramycin to facilitate prediction of efficacious dose in complicated urinary tract infections. Journal of Antimicrobial Chemotherapy. 80(1). 301–310. 1 indexed citations
3.
Zhao, Chenyan, Anders Kristoffersson, Pernilla Lagerbäck, et al.. (2024). Quantifying combined effects of colistin and ciprofloxacin against Escherichia coli in an in silico pharmacokinetic-pharmacodynamic model. Scientific Reports. 14(1). 11706–11706.
4.
Levenfors, Jolanta J., Joakim Bjerketorp, Bengt Guss, et al.. (2024). Repurposing zidovudine and 5-fluoro-2′-deoxyuridine as antibiotic drugs made possible by synergy with both trimethoprim and the mitochondrial toxicity–reducing agent uridine. Journal of Antimicrobial Chemotherapy. 80(2). 509–517.
5.
Cao, Sha, Gerrit Brandis, Douglas L. Huseby, & Diarmaid Hughes. (2022). Positive Selection during Niche Adaptation Results in Large-Scale and Irreversible Rearrangement of Chromosomal Gene Order in Bacteria. Molecular Biology and Evolution. 39(4). 11 indexed citations
6.
Aranzana‐Climent, Vincent, Diarmaid Hughes, Sha Cao, et al.. (2022). Translational in vitro and in vivo PKPD modelling for apramycin against Gram-negative lung pathogens to facilitate prediction of human efficacious dose in pneumonia. Clinical Microbiology and Infection. 28(10). 1367–1374. 18 indexed citations
7.
Lu, Lu, Sha Cao, Edouard Zamaratski, et al.. (2021). Antibacterial sulfonimidamide-based oligopeptides as type I signal peptidase inhibitors: Synthesis and biological evaluation. European Journal of Medicinal Chemistry. 224. 113699–113699. 16 indexed citations
8.
Brandis, Gerrit, et al.. (2020). Mutant RNA polymerase can reduce susceptibility to antibiotics via ppGpp-independent induction of a stringent-like response. Journal of Antimicrobial Chemotherapy. 76(3). 606–615. 8 indexed citations
9.
Loža, Einārs, Mārtiņš Katkevičs, Victoria Ryabova, et al.. (2020). Structure-activity relationship studies on the inhibition of the bacterial translation of novel Odilorhabdins analogues. Bioorganic & Medicinal Chemistry. 28(11). 115469–115469. 5 indexed citations
10.
Becker, Katja, Vincent Aranzana‐Climent, Sha Cao, et al.. (2020). Efficacy of EBL-1003 (apramycin) against Acinetobacter baumannii lung infections in mice. Clinical Microbiology and Infection. 27(9). 1315–1321. 27 indexed citations
11.
Brandis, Gerrit, Sha Cao, & Diarmaid Hughes. (2019). Operon Concatenation Is an Ancient Feature That Restricts the Potential to Rearrange Bacterial Chromosomes. Molecular Biology and Evolution. 36(9). 1990–2000. 8 indexed citations
12.
Lu, Lu, Edouard Zamaratski, Sha Cao, et al.. (2018). Boronic ester-linked macrocyclic lipopeptides as serine protease inhibitors targeting Escherichia coli type I signal peptidase. European Journal of Medicinal Chemistry. 157. 1346–1360. 13 indexed citations
13.
Nielsen, Elisabet I., et al.. (2017). Can a pharmacokinetic/pharmacodynamic (PKPD) model be predictive across bacterial densities and strains? External evaluation of a PKPD model describing longitudinal in vitro data. Journal of Antimicrobial Chemotherapy. 72(11). 3108–3116. 25 indexed citations
14.
Rosa, Maria De, Lu Lu, Edouard Zamaratski, et al.. (2016). Design, synthesis and in vitro biological evaluation of oligopeptides targeting E. coli type I signal peptidase (LepB). Bioorganic & Medicinal Chemistry. 25(3). 897–911. 14 indexed citations
15.
Lagerbäck, Pernilla, Sha Cao, Elisabet I. Nielsen, et al.. (2015). A mechanism-based pharmacokinetic/pharmacodynamic model allows prediction of antibiotic killing from MIC values for WT and mutants. Journal of Antimicrobial Chemotherapy. 70(11). 3051–3060. 38 indexed citations
16.
Wu, Gaobing, et al.. (2012). Identification of New Dominant-Negative Mutants of Anthrax Protective Antigen Using Directed Evolution. Applied Biochemistry and Biotechnology. 168(5). 1302–1310. 3 indexed citations
17.
Cao, Sha, et al.. (2011). Can phylogenetic type predict resistance development?. Journal of Antimicrobial Chemotherapy. 66(4). 778–787. 23 indexed citations
18.
Gullberg, Erik, Sha Cao, Otto G. Berg, et al.. (2011). Selection of Resistant Bacteria at Very Low Antibiotic Concentrations. PLoS Pathogens. 7(7). e1002158–e1002158. 1237 indexed citations breakdown →
19.
Lannergård, Jonas, et al.. (2011). Genetic Complexity of Fusidic Acid-Resistant Small Colony Variants (SCV) in Staphylococcus aureus. PLoS ONE. 6(11). e28366–e28366. 23 indexed citations
20.
Cao, Sha, Ziduo Liu, Aizhen Guo, et al.. (2008). Efficient production and characterization of Bacillus anthracis lethal factor and a novel inactive mutant rLFm-Y236F. Protein Expression and Purification. 59(1). 25–30. 11 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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