Author

J. X. Zhang

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Bioengineering· 1 Biophysics· 1 Cell Biology· 1 Ecology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:DNA methylation· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Organism:E. coli· 1 Research Focus:ecology & biodiversity· 1 Approach:experimental assay· 1 Assay:fluorescence / live-cell microscopy· 1 Assay:imaging· 1

Frequent Co-Authors

A. Phillips· 1 shared A. Zhang· 1 shared Aaron M. Ellison· 1 shared B. Yordanov· 1 shared B.F. Wu· 1 shared C.Z. Yan· 1 shared D. Khodakov· 1 shared D. Y. Zhang· 1 shared

Activity by Year

2017-2020 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 10 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperBiophysics

A. Phillips

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Donut PCR: a rapid, portable, multiplexed, and quantitative DNA detection platform with single-nucleotide specificity

D. Khodakov, J. Li, J. X. Zhang, D. Y. Zhang

bioRxiv · Apr 24, 2020Bioengineering

Super-resolution imaging reveals changes in Escherichia coli SSB localization in response to DNA damage.

P. Bianco, T. Zhao, Z. Wang, R. He, J. X. Zhang, Y. Liu, F. Xu, M. Lei, M. B. Deci, J. Nguyen

This study uses super-resolution imaging to show that E. coli SSB relocates from the inner membrane to the cell interior in response to DNA damage, forming foci for repair.

Genes to Cells · Nov 14, 2019Peer-reviewedCell Biology

Predicting DNA Hybridization Kinetics from Sequence

J. X. Zhang, J. Z. Fang, W. Duan, L. Wu, A. Zhang, N. Dalchau, B. Yordanov, R. Petersen, A. Phillips, D. Zhang

The paper predicts DNA hybridization rate constants from sequence using a weighted neighbor voting model trained on experimental kinetics data.

bioRxiv · Jun 13, 2017Biophysics

Assessment of the World Largest Afforestation Program: Success, Failure, and Future Directions

J. J. Zhu, X. Zheng, G.G. Wang, B.F. Wu, S.R. Liu, C.Z. Yan, Y. Li, Y.R. Sun, Q.L. Yan, Y. Zeng, S.L. Lu, X. F. Li, L.N. Song, Z. B. Hu, K. Yang, , Aaron M. Ellison

The paper assesses the Three-North Afforestation Program's first 30 years, finding increased forest area but declining quality, limited desertification reduction, and low shelterbelt coverage.

bioRxiv · Feb 3, 2017 · PreprintEcology