Sun‐Hae Hong

788 citations
7 papers · 618 · h-index 7

Impact in

Papers in

    • Genomics and Phylogenetic Studies 3
    • Bacterial biofilms and quorum sensing 2
    • Genomics and Chromatin Dynamics 2
    • RNA and protein synthesis mechanisms 1
    • DNA Repair Mechanisms 1
    • Bacterial Genetics and Biotechnology 7

Sun‐Hae Hong

7 papers receiving 616 citations

Peers

Sun‐Hae Hong
Comparison fields: 5 of 62
  • Genetics 422
  • Structural Biology 17
  • Molecular Medicine 55
  • Endocrinology 52
  • Ecology 225
Replace Eric Becker with:
Eric Becker United States
Anjana Badrinarayanan India
Christoph Engl United Kingdom
Sunish Kumar Radhakrishnan Switzerland
Jared T. Winkelman United States
Suzanne R. Lybarger United States
Émilien Nicolas Belgium
Nikolay Ouzounov United States
Christopher D. A. Rodrigues United States
Elisa Galli France
Sun‐Hae Hong relative to Eric Becker United States Eric Becker's profile →
Citations per field
00.5×
Eric Becker · 1×
Citations per year

Countries citing papers authored by Sun‐Hae Hong

Since Specialization
Citations

This map shows the geographic impact of Sun‐Hae Hong'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 Sun‐Hae Hong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sun‐Hae Hong more than expected).

Fields of papers citing papers by Sun‐Hae Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sun‐Hae Hong. 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 Sun‐Hae Hong. The network helps show where Sun‐Hae Hong may publish in the future.

Co-authors

The 25 scholars most cited alongside Sun‐Hae Hong, 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 Sun‐Hae Hong Line = papers co-authored together Sun‐Hae Hong links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2011202
2 2008128
3 2011112
4 2010103
5 201039
6 201320
7 201114

About Sun‐Hae Hong

Sun‐Hae Hong is a scholar working on Molecular Biology, Genetics, Ecology, Plant Science and Infectious Diseases, having authored 7 papers that have together received 618 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (7 papers), Bacteriophages and microbial interactions (4 papers), Genomics and Phylogenetic Studies (3 papers), Bacterial biofilms and quorum sensing (2 papers), Genomics and Chromatin Dynamics (2 papers), Plant-Microbe Interactions and Immunity (1 paper), RNA and protein synthesis mechanisms (1 paper) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Genetics (422 citations), Structural Biology (17 citations), Molecular Medicine (55 citations), Endocrinology (52 citations) and Ecology (225 citations). Sun‐Hae Hong has collaborated with scholars based in United States, Bulgaria and Spain. Frequent co-authors include Harley H. McAdams, Lucy Shapiro, Esteban Toro, M.J. Fero, Davide Baù, Job Dekker, Erin D. Goley, Mark A. Umbarger, Gregory J. Porreca and Lihua Julie Zhu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Molecular Microbiology and Molecular Cell.

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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