Elizabeth E Glater

902 total citations · 1 hit paper
8 papers, 639 citations indexed

About

Elizabeth E Glater is a scholar working on Aging, Endocrine and Autonomic Systems and Insect Science. According to data from OpenAlex, Elizabeth E Glater has authored 8 papers receiving a total of 639 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Aging, 3 papers in Endocrine and Autonomic Systems and 2 papers in Insect Science. Recurrent topics in Elizabeth E Glater's work include Genetics, Aging, and Longevity in Model Organisms (7 papers), Circadian rhythm and melatonin (3 papers) and Insect Utilization and Effects (2 papers). Elizabeth E Glater is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (7 papers), Circadian rhythm and melatonin (3 papers) and Insect Utilization and Effects (2 papers). Elizabeth E Glater collaborates with scholars based in United States, India and Argentina. Elizabeth E Glater's co-authors include Ryan S. Stowers, Thomas L. Schwarz, Matthew V. Rockman, Cornelia I. Bargmann, C. James Taylor, Navin Pokala, Melissa Chambers, Shawn R. Lockery, Stephanie Yu and William T. Harbaugh and has published in prestigious journals such as The Journal of Cell Biology, PLoS ONE and Scientific Reports.

In The Last Decade

Elizabeth E Glater

8 papers receiving 634 citations

Hit Papers

Axonal transport of mitochondria requires milton to recru... 2006 2026 2012 2019 2006 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Elizabeth E Glater United States 7 426 186 161 107 78 8 639
Jason Vevea United States 15 690 1.6× 225 1.2× 164 1.0× 159 1.5× 99 1.3× 19 903
Lita Duraine United States 15 431 1.0× 238 1.3× 205 1.3× 41 0.4× 86 1.1× 15 694
Elizabeth M. McNeill United States 12 575 1.3× 101 0.5× 225 1.4× 39 0.4× 68 0.9× 22 877
Chunlai Wu United States 12 559 1.3× 253 1.4× 301 1.9× 79 0.7× 79 1.0× 16 851
Jolanta Górska‐Andrzejak Poland 10 519 1.2× 201 1.1× 408 2.5× 37 0.3× 86 1.1× 18 816
Berrak Uğur United States 7 299 0.7× 116 0.6× 150 0.9× 67 0.6× 86 1.1× 10 544
Chi‐Kuang Yao Taiwan 10 393 0.9× 181 1.0× 208 1.3× 44 0.4× 67 0.9× 16 549
Ayako Tonoki Japan 11 353 0.8× 174 0.9× 177 1.1× 117 1.1× 55 0.7× 18 596
Andrea J. Wellington United States 7 661 1.6× 236 1.3× 248 1.5× 31 0.3× 116 1.5× 10 828
Gabriela Casanova Uruguay 15 258 0.6× 59 0.3× 117 0.7× 19 0.2× 50 0.6× 33 585

Countries citing papers authored by Elizabeth E Glater

Since Specialization
Citations

This map shows the geographic impact of Elizabeth E Glater'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 Glater 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 Glater more than expected).

Fields of papers citing papers by Elizabeth E Glater

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elizabeth E Glater

This figure shows the co-authorship network connecting the top 25 collaborators of Elizabeth E Glater. A scholar is included among the top collaborators of Elizabeth E Glater based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Elizabeth E Glater. Elizabeth E Glater is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Taylor, C. James, et al.. (2024). Chemical basis of microbiome preference in the nematode C. elegans. Scientific Reports. 14(1). 1350–1350. 6 indexed citations
2.
Harbaugh, William T., Elizabeth E Glater, C. James Taylor, et al.. (2023). The nematode worm C. elegans chooses between bacterial foods as if maximizing economic utility. eLife. 12. 7 indexed citations
3.
Willis, Alexandra R., Marı́a José De Rosa, Amanda Charlesworth, et al.. (2020). A journey to ‘tame a small metazoan organism’, seen through the artistic eyes of C. elegans researchers. Journal of Neurogenetics. 34(3-4). 549–560. 3 indexed citations
4.
Chambers, Melissa, et al.. (2018). Identification of attractive odorants released by preferred bacterial food found in the natural habitats of C. elegans. PLoS ONE. 13(7). e0201158–e0201158. 39 indexed citations
5.
Taylor, C. James, et al.. (2018). Identification of Odor Blend Used by Caenorhabditis elegans for Pathogen Recognition. Chemical Senses. 43(3). 169–180. 22 indexed citations
6.
Pokala, Navin & Elizabeth E Glater. (2018). Using Optogenetics to Understand Neuronal Mechanisms Underlying Behavior in C. elegans.. PubMed. 16(2). A152–A158. 11 indexed citations
7.
Glater, Elizabeth E, Matthew V. Rockman, & Cornelia I. Bargmann. (2013). Multigenic Natural Variation UnderliesCaenorhabditis elegansOlfactory Preference for the Bacterial PathogenSerratia marcescens. G3 Genes Genomes Genetics. 4(2). 265–276. 50 indexed citations
8.
Glater, Elizabeth E, et al.. (2006). Axonal transport of mitochondria requires milton to recruit kinesin heavy chain and is light chain independent. The Journal of Cell Biology. 173(4). 545–557. 501 indexed citations breakdown →

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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