Debra A. Young

1.1k citations
24 papers · 880 · h-index 14

Impact in

Papers in

    • Photosynthetic Processes and Mechanisms 3
    • Genomics and Phylogenetic Studies 3
    • RNA and protein synthesis mechanisms 2
    • Bacterial Genetics and Biotechnology 4

Debra A. Young

24 papers receiving 830 citations

Peers

Debra A. Young
Comparison fields: 5 of 85
  • Geriatrics and Gerontology 62
  • Renewable Energy, Sustainability and the Environment 141
  • Molecular Biology 564
  • Microbiology 46
  • Biological Psychiatry 17
Replace Mark V. Baev with:
Mark V. Baev Russia
Noriko Nakagawa Japan
Cheol‐Sang Hwang South Korea
Suzanne O’Handley United States
Yuejin Hua China
Xiaojun Peng China
Feras Hatahet Finland
E Pontis Sweden
Jörg Mostertz Germany
Bettina Bauer Austria
Debra A. Young relative to Mark V. Baev Russia Mark V. Baev's profile →
Citations per field
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Citations per year

Countries citing papers authored by Debra A. Young

Since Specialization
Citations

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

Fields of papers citing papers by Debra A. Young

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Debra A. Young. 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 Debra A. Young. The network helps show where Debra A. Young may publish in the future.

Co-authors

The 25 scholars most cited alongside Debra A. Young, 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 Debra A. Young Line = papers co-authored together Debra A. Young 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 1989141
2 2012135
3 1988104
4 198575
5 200070
6 201662
7 199147
8 198236
9 199634
10 201131
11 200028
12 197916
13 197915
14 198214
15 197813
16 199013
17 201813
18 19838
19 19926
20 19845

About Debra A. Young

Debra A. Young is a scholar working on Molecular Biology, Genetics, Plant Science, Microbiology and Food Science, having authored 24 papers that have together received 880 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (4 papers), Antimicrobial Peptides and Activities (3 papers), Photosynthetic Processes and Mechanisms (3 papers), Salmonella and Campylobacter epidemiology (3 papers), Genomics and Phylogenetic Studies (3 papers), Algal biology and biofuel production (2 papers), Microbial Fuel Cells and Bioremediation (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Geriatrics and Gerontology (62 citations), Renewable Energy, Sustainability and the Environment (141 citations), Molecular Biology (564 citations), Microbiology (46 citations) and Biological Psychiatry (17 citations). Debra A. Young has collaborated with scholars based in United States, Japan and Australia. Frequent co-authors include Barry L. Marrs, Carl E. Bauer, JoAnn C. Williams, P D Rick, Walter W. Karakawa, Jon Y. Takemoto, Jeffrey A Radding, Hiroko Hama, Michèle C. Smith and Timothy I. Meier. Their work appears in journals such as Journal of Biological Chemistry, Infection and Immunity, Journal of Bacteriology, Molecular Cancer Therapeutics and Journal of Clinical Microbiology.

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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