Naigong Zhang

11.0k total citations · 2 hit papers
7 papers, 7.3k citations indexed

About

Naigong Zhang is a scholar working on Molecular Biology, Infectious Diseases and Virology. According to data from OpenAlex, Naigong Zhang has authored 7 papers receiving a total of 7.3k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 1 paper in Infectious Diseases and 1 paper in Virology. Recurrent topics in Naigong Zhang's work include RNA and protein synthesis mechanisms (4 papers), Protein Structure and Dynamics (3 papers) and Gene expression and cancer classification (2 papers). Naigong Zhang is often cited by papers focused on RNA and protein synthesis mechanisms (4 papers), Protein Structure and Dynamics (3 papers) and Gene expression and cancer classification (2 papers). Naigong Zhang collaborates with scholars based in United States and Australia. Naigong Zhang's co-authors include Irene F. Kim, Tanya Barrett, Hyeseung Lee, Pierre Ledoux, Kimberly A. Marshall, Katherine Phillippy, Carlos Evangelista, Sean Davis, Michelle Holko and Chen Zeng and has published in prestigious journals such as Nucleic Acids Research, Virology and Journal of Computational Chemistry.

In The Last Decade

Naigong Zhang

7 papers receiving 7.2k citations

Hit Papers

NCBI GEO: archive for fun... 2012 2026 2016 2021 2012 2023 2.0k 4.0k 6.0k
What are hit papers?

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.

  1. NCBI GEO: archive for functional genomics data sets—update
    2012 7.1k citations Tanya Barrett, Pierre Ledoux et al. Nucleic Acids Research profile →
  2. NCBI GEO: archive for gene expression and epigenomics data sets: 23-year update
    2023 137 citations Emily Clough, Tanya Barrett et al. Nucleic Acids Research profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Naigong Zhang 5.0k 1.8k 1.2k 903 789 7 7.3k
Carlos Evangelista 5.2k 1.0× 1.8k 1.0× 1.2k 1.0× 902 1.0× 792 1.0× 12 7.5k
Katherine Phillippy 6.5k 1.3× 2.0k 1.2× 1.3k 1.1× 1000 1.1× 895 1.1× 12 9.1k
Kalliopi P. Tsafou 5.1k 1.0× 1.3k 0.8× 963 0.8× 799 0.9× 694 0.9× 4 7.9k
Kimberly A. Marshall 6.5k 1.3× 2.0k 1.2× 1.3k 1.1× 996 1.1× 891 1.1× 12 9.2k
Irene F. Kim 7.2k 1.4× 2.3k 1.3× 1.4k 1.2× 1.1k 1.2× 989 1.3× 8 10.1k
Pierre Ledoux 7.2k 1.4× 2.3k 1.3× 1.4k 1.2× 1.1k 1.2× 1.0k 1.3× 9 10.1k
Gregory W. Gundersen 4.7k 0.9× 1.3k 0.8× 701 0.6× 1.1k 1.2× 801 1.0× 11 7.6k
Sherry L. Jenkins 5.2k 1.0× 1.4k 0.8× 725 0.6× 1.2k 1.3× 881 1.1× 23 8.4k
Anil G. Jegga 4.9k 1.0× 1.4k 0.8× 915 0.8× 1.1k 1.2× 976 1.2× 148 8.3k
Nicolas Fernandez 5.0k 1.0× 1.4k 0.8× 724 0.6× 1.2k 1.4× 892 1.1× 29 8.2k

Countries citing papers authored by Naigong Zhang

Since Specialization
Citations

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).

Fields of papers citing papers by Naigong Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Naigong Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Naigong Zhang. A scholar is included among the top collaborators of Naigong Zhang 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 Naigong Zhang. Naigong Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Clough, Emily, Tanya Barrett, S. E. Wilhite, et al.. (2023). NCBI GEO: archive for gene expression and epigenomics data sets: 23-year update. Nucleic Acids Research. 52(D1). D138–D144. 137 indexed citations breakdown →
2.
Barrett, Tanya, Pierre Ledoux, Carlos Evangelista, et al.. (2012). NCBI GEO: archive for functional genomics data sets—update. Nucleic Acids Research. 41(D1). D991–D995. 7062 indexed citations breakdown →
3.
Zhang, Naigong & Chen Zeng. (2008). Reference energy extremal optimization: A stochastic search algorithm applied to computational protein design. Journal of Computational Chemistry. 29(11). 1762–1771. 7 indexed citations
4.
Duyne, Rachel Van, et al.. (2008). A novel binding pocket of cyclin‐dependent kinase 2. Proteins Structure Function and Bioinformatics. 74(1). 122–132. 17 indexed citations
5.
Vizcarra, Christina L., Naigong Zhang, Shannon Marshall, et al.. (2007). An improved pairwise decomposable finite‐difference Poisson–Boltzmann method for computational protein design. Journal of Computational Chemistry. 29(7). 1153–1162. 23 indexed citations
6.
Agbottah, Emmanuel, Naigong Zhang, Anne Pumfery, et al.. (2005). Inhibition of HIV-1 virus replication using small soluble Tat peptides. Virology. 345(2). 373–389. 28 indexed citations
7.
Zhang, Naigong, Chen Zeng, & Ned S. Wingreen. (2004). Fast accurate evaluation of protein solvent exposure. Proteins Structure Function and Bioinformatics. 57(3). 565–576. 23 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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