Nancy Trun

644 citations
25 papers · 460 · h-index 13

Impact in

Papers in

    • RNA and protein synthesis mechanisms 8
    • DNA Repair Mechanisms 6
    • Heat shock proteins research 2
    • Bacterial Genetics and Biotechnology 14

Nancy Trun

23 papers receiving 445 citations

Peers

Nancy Trun
Comparison fields: 5 of 69
  • Endocrinology 49
  • Genetics 208
  • Molecular Biology 331
  • Molecular Medicine 22
  • Ecology 96
Replace Larissa Tetsch with:
Larissa Tetsch Germany
Clémentine Dressaire France
José A. Reyes-Darías Spain
E Zychlinsky United States
Yong Joon Chung United States
Katsutoshi Fujita Japan
Arti Tripathi India
Young Seoub Park South Korea
Juliana Li Canada
Kiyo Hirao Japan
Nancy Trun relative to Larissa Tetsch Germany Larissa Tetsch's profile →
Citations per field
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Larissa Tetsch · 1×
Citations per year

Countries citing papers authored by Nancy Trun

Since Specialization
Citations

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

Fields of papers citing papers by Nancy Trun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199681
2 198741
3 201439
4 199234
5 198829
6 198328
7 200326
8 199024
9 198923
10 201120
11 199718
12 200716
13 201916
14
Fundamental Bacterial Genetics
200312
15 198210
16 198910
17 20068
18 20187
19 20214
20 19914

About Nancy Trun

Nancy Trun is a scholar working on Molecular Biology, Genetics, Ecology, Environmental Chemistry and Biomedical Engineering, having authored 25 papers that have together received 460 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (14 papers), RNA and protein synthesis mechanisms (8 papers), DNA Repair Mechanisms (6 papers), Bacteriophages and microbial interactions (5 papers), Mine drainage and remediation techniques (4 papers), Metal Extraction and Bioleaching (3 papers), Enzyme Structure and Function (3 papers) and Heat shock proteins research (2 papers). The work is most often cited by research in Endocrinology (49 citations), Genetics (208 citations), Molecular Biology (331 citations), Molecular Medicine (22 citations) and Ecology (96 citations). Nancy Trun has collaborated with scholars based in United States and Denmark. Frequent co-authors include Thomas J. Silhavy, Susan Gottesman, William DeGraff, Kenneth H. Hu, John N. Reeve, Charles G. Miller, Sue Wickner, Carol A. Kumamoto, Janine E. Trempy and Andrei N. Lupas. Their work appears in journals such as Journal of Bacteriology, Genetics, Gene, FEMS Microbiology Ecology and CBE—Life Sciences Education.

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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