Mona Hwang

1.1k citations
24 papers · 955 · h-index 15

Impact in

    • Carcinogens and Genotoxicity Assessment
    • DNA Repair Mechanisms
    • CRISPR and Genetic Engineering
    • Genomics and Phylogenetic Studies

Papers in

Mona Hwang

24 papers receiving 924 citations

Peers

Mona Hwang
Comparison fields: 5 of 96
  • Cancer Research 165
  • Molecular Biology 555
  • Environmental Chemistry 76
  • Oncology 135
  • Biomedical Engineering 198
Replace Qin Qin with:
Qin Qin China
Sagar M. Utturkar United States
Shengjie Zhang China
Yongli Luo China
Xue Lu China
Shen China
Masao Inoue Japan
Ada Hang‐Heng Wong United States
Gaël Brasseur France
Dengfeng Li China
Mona Hwang relative to Qin Qin China Qin Qin's profile →
Citations per field
00.5×2.6×
Qin Qin · 1×
Citations per year

Countries citing papers authored by Mona Hwang

Since Specialization
Citations

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

Fields of papers citing papers by Mona Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995234
2 2015111
3 1996107
4 200875
5 200854
6 200551
7 201245
8 201444
9 201041
10 198838
11 201325
12 201025
13 200119
14 201616
15 201914
16 198914
17 201611
18 202010
19 19919
20 19937

About Mona Hwang

Mona Hwang is a scholar working on Molecular Biology, Plant Science, Cancer Research, Biomedical Engineering and Infectious Diseases, having authored 24 papers that have together received 955 indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (5 papers), DNA Repair Mechanisms (4 papers), Biofuel production and bioconversion (3 papers), Metal Extraction and Bioleaching (3 papers), Polysaccharides and Plant Cell Walls (2 papers), Viral gastroenteritis research and epidemiology (2 papers), Microbial Fuel Cells and Bioremediation (2 papers) and Viral Infections and Vectors (2 papers). The work is most often cited by research in Cancer Research (165 citations), Molecular Biology (555 citations), Environmental Chemistry (76 citations), Oncology (135 citations) and Biomedical Engineering (198 citations). Mona Hwang has collaborated with scholars based in United States, Norway and Bulgaria. Frequent co-authors include Michael P. Thelen, Larry H. Thompson, Ying Zhao, James D. Tucker, Randy J. Legerski, MJ Siciliano, Julia B. Scheerer, Robert S. Tebbs, Jillian F. Banfield and Martin Vanderlaan. Their work appears in journals such as PLoS ONE, Carcinogenesis, The ISME Journal, Applied and Environmental Microbiology and Environmental Health Perspectives.

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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