Maria E. Scott

596 citations
8 papers · 456 · h-index 6

Impact in

Papers in

Maria E. Scott

8 papers receiving 445 citations

Peers

Maria E. Scott
Comparison fields: 5 of 63
  • Endocrinology 86
  • Molecular Medicine 58
  • Applied Microbiology and Biotechnology 17
  • Microbiology 45
  • Materials Chemistry 182
Replace Dongchang Sun with:
Dongchang Sun China
Pertti Koski Finland
Maxim Kostylev United States
Zaini Mohd-Zain Malaysia
Rahaf Issa United Kingdom
Damien Keogh Singapore
Jyoti Verma India
Carlo Bonchi Italy
Włodzimierz Doroszkiewicz Poland
Fabrizia Minandri Italy
Maria E. Scott relative to Dongchang Sun China Dongchang Sun's profile →
Citations per field
00.5×3.1×
Dongchang Sun · 1×
Citations per year

Countries citing papers authored by Maria E. Scott

Since Specialization
Citations

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

Fields of papers citing papers by Maria E. Scott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria E. Scott. 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 Maria E. Scott. The network helps show where Maria E. Scott may publish in the future.

Co-authors

The 15 scholars most cited alongside Maria E. Scott, 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 Maria E. Scott Line = papers co-authored together Maria E. Scott links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2012315
2 200173
3 200723
4 202018
5 200314
6 20097
7 20015
8
Mutations in the Histone-like Nucleoid Structuring Regulatory Gene (hns) Decrease the Adherence of Shiga Toxin-producing Escherichia coli 091:H21 Strain B2F1 to Human Colonic Epithelial Cells and Increase the Production of Hemolysin
19991

About Maria E. Scott

Maria E. Scott is a scholar working on Endocrinology, Infectious Diseases, Molecular Biology, Pollution and Ecology, having authored 8 papers that have together received 456 indexed citations. Recurring topics across this work include Escherichia coli research studies (4 papers), Viral gastroenteritis research and epidemiology (4 papers), Vibrio bacteria research studies (2 papers), Bacterial biofilms and quorum sensing (1 paper), Bacterial Genetics and Biotechnology (1 paper), Fibroblast Growth Factor Research (1 paper), Bacteriophages and microbial interactions (1 paper) and Salmonella and Campylobacter epidemiology (1 paper). The work is most often cited by research in Endocrinology (86 citations), Molecular Medicine (58 citations), Applied Microbiology and Biotechnology (17 citations), Microbiology (45 citations) and Materials Chemistry (182 citations). Maria E. Scott has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Ashley N. Brown, Sherine O. Obare, Kathryn Smith, Maria Sandkvist, Zain Y. Dossani, Tanya L. Johnson, Angela R. Melton‐Celsa, Alison D. O’Brien, Jennifer Green and Miles Rogers. Their work appears in journals such as Microbial Pathogenesis, Journal of Bacteriology, Proceedings of the National Academy of Sciences, Journal of Food Protection and Applied and Environmental 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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