A Zhang

652 citations
11 papers · 532 · h-index 8

Impact in

Papers in

    • Bioinformatics and Genomic Networks 3
    • RNA and protein synthesis mechanisms 2
    • Gene expression and cancer classification 2
    • Single-cell and spatial transcriptomics 1
    • Ion channel regulation and function 1
    • Genetic Associations and Epidemiology 2
    • Bacterial Genetics and Biotechnology 2

A Zhang

11 papers receiving 519 citations

Peers

A Zhang
Comparison fields: 5 of 87
  • Endocrinology 37
  • Genetics 201
  • Molecular Biology 365
  • Nutrition and Dietetics 70
  • Computational Theory and Mathematics 66
Replace Dolors Balsa with:
Dolors Balsa Spain
Yanqing Zhang China
S. Gupta United States
Annika Rogstam Sweden
Sankarganesh Jeyaraj Germany
Claudia Henn Germany
Baran A. Ersoy United States
Ying Fu China
Sai P. Pydi United States
Katia Herz Israel
A Zhang relative to Dolors Balsa Spain Dolors Balsa's profile →
Citations per field
00.5×7.8×
Dolors Balsa · 1×
Citations per year

Countries citing papers authored by A Zhang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 24 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.

Border = papers with A Zhang Line = papers co-authored together A Zhang links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 1996175
2 1992125
3
Escherichia coli protein StpA stimulates self-splicing by promoting RNA assembly in vitro.
199583
4 200875
5 199236
6 199812
7 20138
8 20138
9 20117
10 20242
11
Endothelial cells are required for inhibition of contractile responses induced by reduction in extracellular magnesium and sodium ions in rat aortic smooth muscle [corrected].
19901

About A Zhang

A Zhang is a scholar working on Molecular Biology, Genetics, Oncology, Nutrition and Dietetics and Immunology, having authored 11 papers that have together received 532 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (3 papers), Magnesium in Health and Disease (3 papers), Genetic Associations and Epidemiology (2 papers), RNA and protein synthesis mechanisms (2 papers), Bacterial Genetics and Biotechnology (2 papers), Gene expression and cancer classification (2 papers), Single-cell and spatial transcriptomics (1 paper) and Ion channel regulation and function (1 paper). The work is most often cited by research in Endocrinology (37 citations), Genetics (201 citations), Molecular Biology (365 citations), Nutrition and Dietetics (70 citations) and Computational Theory and Mathematics (66 citations). A Zhang has collaborated with scholars based in United States, Macao and United Kingdom. Frequent co-authors include Marlene Belfort, Burton M. Altura, Toni P.‐O. Cheng, Sylvie Rimsky, H. Buc, Murali Ramanathan, Victoria Derbyshire, Pritam Chanda, Raj Kumar Gupta and Asefa Gebrewold. Their work appears in journals such as Heredity, The EMBO Journal, CPT Pharmacometrics & Systems Pharmacology, Clinical Pharmacology & Therapeutics and Alcohol.

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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