Hwei‐Ling Peng

3.9k citations
78 papers · 3.1k indexed · h-index 29

Impact in

    • Antibiotic Resistance in Bacteria
  • Endocrinology top 0.5%
    • Vibrio bacteria research studies
    • Enterobacteriaceae and Cronobacter Research
    • Escherichia coli research studies

Papers in

Hwei‐Ling Peng

75 papers receiving 3.0k citations

Peers

Hwei‐Ling Peng
Comparison fields: 5 of 131
  • Molecular Medicine 1.2k
  • Endocrinology 641
  • Structural Biology 58
  • Infectious Diseases 657
  • Microbiology 158
Replace Indranil Biswas with:
Indranil Biswas United States
Karen Dodson United States
Chloë E. James United Kingdom
David G. Thanassi United States
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Citations per field
00.5×8.3×
Indranil Biswas · 1×
Citations per year

Countries citing papers authored by Hwei‐Ling Peng

Since Specialization
Citations

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

Fields of papers citing papers by Hwei‐Ling Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hwei‐Ling Peng. 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 Hwei‐Ling Peng. The network helps show where Hwei‐Ling Peng may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20236
3 202118
4 201548
5 201211
6 201243
7
The XopE2 effector protein of Xanthomonas campestris pv. vesicatoria is involved in virulence and in the suppression of the hypersensitive response
20111
8 20114
9 201025
10 2010134
11 20091
12 200814
13 200834
14 200732
15 200620
16 200634
17 200529
18 199985
19 19968
20 199326

About Hwei‐Ling Peng

Hwei‐Ling Peng is a scholar working on Molecular Medicine, Endocrinology, Genetics, Structural Biology and Molecular Biology, having authored 78 papers that have together received 3.1k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (30 papers), Bacterial Genetics and Biotechnology (30 papers), Bacterial biofilms and quorum sensing (19 papers), Bacteriophages and microbial interactions (12 papers), Enzyme Structure and Function (10 papers), Vibrio bacteria research studies (6 papers), Glycosylation and Glycoproteins Research (5 papers) and Genomics and Phylogenetic Studies (5 papers). The work is most often cited by research in Molecular Medicine (1.2k citations), Endocrinology (641 citations), Structural Biology (58 citations), Infectious Diseases (657 citations) and Microbiology (158 citations). Hwei‐Ling Peng has collaborated with scholars based in Taiwan, India and United States. Frequent co-authors include Hwan‐You Chang, Chien-Chen Wu, Richard P. Novick, John Kornblum, Patrick M. Schlievert, Barry N. Kreiswirth, Ying-Tsong Chen, Hwan‐You Chang, H. Y. Chang and Yi‐Chyi Lai. Their work appears in journals such as Journal of Bacteriology, Microbiology, The Journal of Biochemistry, PLoS ONE and Infection and Immunity.

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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