A Zhang
Impact in
- Genetics top 10%
- Bacterial Genetics and Biotechnology
- Endocrinology top 10%
- Escherichia coli research studies
Papers in
-
- Bioinformatics and Genomic Networks 3
- Gene expression and cancer classification 2
- RNA and protein synthesis mechanisms 2
- Genetics 4
- Bacterial Genetics and Biotechnology 2
- Genetic Associations and Epidemiology 2
- Co-authors
- Marlene Belfort (2 shared papers)Sylvie Rimsky (1 shared paper)H. Buc (1 shared paper)Murali Ramanathan (4 shared papers)Victoria Derbyshire (1 shared paper)Pritam Chanda (3 shared papers)Jian‐Wei Yang (1 shared paper)Hideki Ueno (1 shared paper)
- Journals
- Heredity (2 papers)Clinical Pharmacology & Therapeutics (1 paper)CPT Pharmacometrics & Systems Pharmacology (1 paper)The EMBO Journal (1 paper)PubMed (2 papers)
- Partner nations
- United StatesJapanChina
In The Last Decade
A Zhang
8 papers receiving 356 citations
Peers
Comparison fields: 5 of 54
- Genetics 197
- Endocrinology 36
- Molecular Biology 292
- Computational Theory and Mathematics 60
- Molecular Medicine 15
Countries citing papers authored by A Zhang
This map shows the geographic impact of A Zhang'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 A Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A Zhang more than expected).
Fields of papers citing papers by A Zhang
This network shows the impact of papers produced by A Zhang. 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 A Zhang. The network helps show where A Zhang may publish in the future.
Co-authors
The 19 scholars most cited alongside A Zhang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 175 | |
| 2 | Escherichia coli protein StpA stimulates self-splicing by promoting RNA assembly in vitro. | 1995 | 83 |
| 3 | 2008 | 75 | |
| 4 | 2013 | 8 | |
| 5 | 2013 | 8 | |
| 6 | 2011 | 7 | |
| 7 | 2024 | 2 | |
| 8 | Endothelial cells are required for inhibition of contractile responses induced by reduction in extracellular magnesium and sodium ions in rat aortic smooth muscle [corrected]. | 1990 | 1 |
About A Zhang
A Zhang is a scholar working on Molecular Biology, Genetics, Oncology, Ecology and Computational Theory and Mathematics, having authored 8 papers that have together received 359 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (3 papers), Gene expression and cancer classification (2 papers), Bacterial Genetics and Biotechnology (2 papers), Genetic Associations and Epidemiology (2 papers), RNA and protein synthesis mechanisms (2 papers), Pharmacogenetics and Drug Metabolism (1 paper), Biosimilars and Bioanalytical Methods (1 paper) and Drug Transport and Resistance Mechanisms (1 paper). The work is most often cited by research in Genetics (197 citations), Endocrinology (36 citations), Molecular Biology (292 citations), Computational Theory and Mathematics (60 citations) and Molecular Medicine (15 citations). A Zhang has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Marlene Belfort, Sylvie Rimsky, H. Buc, Murali Ramanathan, Victoria Derbyshire, Pritam Chanda, Jian‐Wei Yang, Hideki Ueno, Nahoko Kaniwa and Yoshiro Saito. Their work appears in journals such as Heredity, Clinical Pharmacology & Therapeutics, CPT Pharmacometrics & Systems Pharmacology, The EMBO Journal and PubMed.
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.