Ginger Tsueng

2.7k citations
30 papers · 1.3k · h-index 16

Impact in

Papers in

    • Genomics and Phylogenetic Studies 8
    • Biomedical Text Mining and Ontologies 5
    • Bioinformatics and Genomic Networks 4
    • Gene expression and cancer classification 3
    • Microbial Natural Products and Biosynthesis 5

Ginger Tsueng

29 papers receiving 1.3k citations

Peers

Ginger Tsueng
Comparison fields: 5 of 120
  • Biotechnology 158
  • Infectious Diseases 207
  • Pharmacology 179
  • Cardiology and Cardiovascular Medicine 229
  • Molecular Biology 675
Replace Taishan Hu with:
Taishan Hu China
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Liangliang Kong China
Jeffrey L. Nordstrom United States
Lydia Tabernero United Kingdom
Paulo Sérgio Lopes de Oliveira Brazil
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Cheng Wu United States
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Ginger Tsueng relative to Taishan Hu China Taishan Hu's profile →
Citations per field
00.5×4.3×
Taishan Hu · 1×
Citations per year

Countries citing papers authored by Ginger Tsueng

Since Specialization
Citations

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

Fields of papers citing papers by Ginger Tsueng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015309
2 2014256
3 2011145
4 2016112
5 2008106
6 201242
7 201133
8 200930
9 200828
10 202326
11 200725
12 202322
13 200819
14 200718
15 200818
16 201016
17 201815
18 201613
19 202212
20 200812

About Ginger Tsueng

Ginger Tsueng is a scholar working on Molecular Biology, Pharmacology, Biotechnology, Information Systems and Management and Cardiology and Cardiovascular Medicine, having authored 30 papers that have together received 1.3k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (8 papers), Microbial Natural Products and Biosynthesis (5 papers), Biomedical Text Mining and Ontologies (5 papers), Scientific Computing and Data Management (4 papers), Bioinformatics and Genomic Networks (4 papers), Gene expression and cancer classification (3 papers), Viral Infections and Immunology Research (3 papers) and Enzyme Production and Characterization (3 papers). The work is most often cited by research in Biotechnology (158 citations), Infectious Diseases (207 citations), Pharmacology (179 citations), Cardiology and Cardiovascular Medicine (229 citations) and Molecular Biology (675 citations). Ginger Tsueng has collaborated with scholars based in United States, Russia and Germany. Frequent co-authors include Andrew I. Su, Chunlei Wu, Kin S. Lam, Cyrus Afrasiabi, Xuefeng Jin, Ralph Feuer, Jenna M. Tabor-Godwin, Barbara C. M. Potts, Roberta A. Gottlieb and M. Richard Sayen. Their work appears in journals such as Applied Microbiology and Biotechnology, The Journal of Antibiotics, Bioinformatics, BMC Bioinformatics and Journal of Natural Products.

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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