Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average within
it), or reaches the top citation threshold in at least one of its specific research topics.
2023NCBI GEO: archive for gene expression and epigenomics data sets: 23-year update
2012NCBI GEO: archive for functional genomics data sets—update
This map shows the geographic impact of Naigong 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 Naigong Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naigong Zhang more than expected).
This network shows the impact of papers produced by Naigong 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 Naigong Zhang. The network helps show where Naigong Zhang may publish in the future.
Co-authorship network
The 24 scholars most cited alongside Naigong 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 Naigong ZhangLine = papers co-authored togetherNaigong Zhang links everyone, so they are left out of the graph.
All Works
7 of 7 papers shown
#
Work
1
NCBI GEO: archive for gene expression and epigenomics data sets: 23-year updatebreakdown →
Naigong Zhang is a scholar working on Virology, Molecular Biology and Computational Theory and Mathematics, having authored 7 papers that have together received 7.3k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (4 papers), Protein Structure and Dynamics (3 papers), Gene expression and cancer classification (2 papers), Chemical Synthesis and Analysis (1 paper), HIV Research and Treatment (1 paper), DNA and Nucleic Acid Chemistry (1 paper), Single-cell and spatial transcriptomics (1 paper) and Computational Drug Discovery Methods (1 paper). The work is most often cited by research in Cancer Research (1.8k citations), Molecular Biology (5.0k citations) and Immunology (903 citations). Naigong Zhang has collaborated with scholars based in United States and Australia. Frequent co-authors include Katherine Phillippy, Hyeseung Lee, Pierre Ledoux, Kimberly A. Marshall, Irene F. Kim, Carlos Evangelista, Tanya Barrett, Sean Davis, Michelle Holko and Chen Zeng.
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.