Hattie Chung

2.6k citations
7 papers · 867 indexed · 1 hit paper · h-index 6
    • CRISPR and Genetic Engineering 2
    • Gene Regulatory Network Analysis 2
    • RNA Research and Splicing 2
    • RNA modifications and cancer 1
    • Single-cell and spatial transcriptomics 1
  • Genetics top 10%
    • Evolution and Genetic Dynamics 2
  • Ecology top 10%
    • Microbial Community Ecology and Physiology 1
    • Bacteriophages and microbial interactions 1

Hattie Chung

6 papers receiving 858 citations

Hit Papers

Inexpensive Multiplexed Library Preparation for Megabase-...4572015202620182022100200300400

Peers

Hattie Chung
Comparison fields: 5 of 99
  • Molecular Medicine 64
  • Endocrinology 51
  • Molecular Biology 624
  • Genetics 224
  • Ecology 123
Replace Michael J. Palumbo with:
Michael J. Palumbo United States
O. Barábas Germany
Nicholas Leiby United States
Yao‐Ting Huang Taiwan
Khai Luong United States
Ashley K. Tehranchi United States
Martin Madera United Kingdom
Bethany Stackhouse United States
Serguei G. Popov United States
Lun Cui France
Hattie Chung relative to Michael J. Palumbo United States Michael J. Palumbo's profile →
Citations per field
00.5×4.5×
Michael J. Palumbo · 1×
Citations per year

Countries citing papers authored by Hattie Chung

Since Specialization
Citations

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

Fields of papers citing papers by Hattie Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hattie Chung. 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 Hattie Chung. The network helps show where Hattie Chung may publish in the future.

Co-authorship network

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

All Works

7 of 7 papers shown
#Work
1 202184
2 201738
3 201641
4 2015164
5
Inexpensive Multiplexed Library Preparation for Megabase-Sized Genomesbreakdown →
2015457
6
Isocost Lines Describe the Cellular Economy of Genetic Circuits
20150
7 201283

About Hattie Chung

Hattie Chung is a scholar working on Endocrinology, Molecular Biology and Genetics, having authored 7 papers that have together received 867 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (2 papers), Evolution and Genetic Dynamics (2 papers), Gene Regulatory Network Analysis (2 papers), RNA Research and Splicing (2 papers), RNA modifications and cancer (1 paper), Microbial Community Ecology and Physiology (1 paper), Single-cell and spatial transcriptomics (1 paper) and Bacteriophages and microbial interactions (1 paper). The work is most often cited by research in Molecular Medicine (64 citations), Endocrinology (51 citations) and Molecular Biology (624 citations). Hattie Chung has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include Roy Kishony, Tami D. Lieberman, Michael Baym, Sergey Kryazhimskiy, Michael M. Desai, José I. Jiménez, Domitilla Del Vecchio, András György, Ron Weiss and Christopher N. Parkhurst. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

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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