Elizabeth E. Marr

1.3k citations
10 papers · 561 · h-index 8

Impact in

Papers in

    • CRISPR and Genetic Engineering 3
    • Advanced biosensing and bioanalysis techniques 1
    • Innovative Microfluidic and Catalytic Techniques Innovation 2
    • 3D Printing in Biomedical Research 2

Elizabeth E. Marr

9 papers receiving 555 citations

Peers

Elizabeth E. Marr
Comparison fields: 5 of 73
  • Aging 38
  • Cellular and Molecular Neuroscience 306
  • Genetics 138
  • Sensory Systems 23
  • Insect Science 58
Replace Nathan T. Mortimer with:
Nathan T. Mortimer United States
Katja Kapp Germany
Piero Sanfilippo United States
Hui‐Hao Lin United States
Toh Hean Ch’ng United States
Annelies Bogaerts Belgium
Célia Baltazar Portugal
Mei Han China
Wendy W. Liu United States
Valerie P. Pollock United Kingdom
Elizabeth E. Marr relative to Nathan T. Mortimer United States Nathan T. Mortimer's profile →
Citations per field
00.5×2.9×
Nathan T. Mortimer · 1×
Citations per year

Countries citing papers authored by Elizabeth E. Marr

Since Specialization
Citations

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

Fields of papers citing papers by Elizabeth E. Marr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2015212
2 2015127
3 2016106
4 202167
5 201920
6 202310
7 20218
8 20237
9 20234
10 20240

About Elizabeth E. Marr

Elizabeth E. Marr is a scholar working on Molecular Biology, Biomedical Engineering, Cellular and Molecular Neuroscience, Epidemiology and Infectious Diseases, having authored 10 papers that have together received 561 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (3 papers), Neurobiology and Insect Physiology Research (3 papers), Innovative Microfluidic and Catalytic Techniques Innovation (2 papers), 3D Printing in Biomedical Research (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Invertebrate Immune Response Mechanisms (1 paper), Urinary Tract Infections Management (1 paper) and Insect and Arachnid Ecology and Behavior (1 paper). The work is most often cited by research in Aging (38 citations), Cellular and Molecular Neuroscience (306 citations), Genetics (138 citations), Sensory Systems (23 citations) and Insect Science (58 citations). Elizabeth E. Marr has collaborated with scholars based in United States, United Kingdom and Chile. Frequent co-authors include Christopher J. Potter, Olena Riabinina, Feici Diao, Matthias Landgraf, Haojiang Luan, Holly Ironfield, Benjamin H. White, Fengqiu Diao, William C. Shropshire and John Ewer. Their work appears in journals such as Nature Methods, Scientific Reports, Frontiers in Cellular and Infection Microbiology, The CRISPR Journal and Advanced Biology.

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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