Virginia K. Eckenrode

2.4k total citations · 1 hit paper
6 papers, 1.8k citations indexed

About

Virginia K. Eckenrode is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Ecology. According to data from OpenAlex, Virginia K. Eckenrode has authored 6 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 1 paper in Cellular and Molecular Neuroscience and 1 paper in Ecology. Recurrent topics in Virginia K. Eckenrode's work include Genomics and Phylogenetic Studies (2 papers), RNA modifications and cancer (1 paper) and Photoreceptor and optogenetics research (1 paper). Virginia K. Eckenrode is often cited by papers focused on Genomics and Phylogenetic Studies (2 papers), RNA modifications and cancer (1 paper) and Photoreceptor and optogenetics research (1 paper). Virginia K. Eckenrode collaborates with scholars based in United States. Virginia K. Eckenrode's co-authors include William W. Ward, Milton J. Cormier, Douglas C. Prasher, Jonathan Arnold, Richard B. Meagher, R B Meagher, Ronald T. Nagao, Dilip M. Shah, C. S. Levings and James R.Y. Rawson and has published in prestigious journals such as Nucleic Acids Research, Gene and Journal of Molecular Evolution.

In The Last Decade

Virginia K. Eckenrode

6 papers receiving 1.7k citations

Hit Papers

Primary structure of the Aequorea victoria green-fluoresc... 1992 2026 2003 2014 1992 500 1000 1.5k

Peers

Virginia K. Eckenrode
Comparison fields: 5 of 102
  • Molecular Biology 1.4k
  • Biophysics 657
  • Genetics 289
  • Plant Science 255
  • Cellular and Molecular Neuroscience 243
Replace Yulii A. Labas with:
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Paula J. Cranfill United States
Laura van Weeren Netherlands
Kristin L. Hazelwood United States
Е. А. Богданова Russia
Yulii A. Labas Russia View profile →
Citations per field, relative to Virginia K. Eckenrode
Virginia K. Eckenrode · 1×
Citations per year, relative to Virginia K. Eckenrode
Virginia K. Eckenrode · 1×

Countries citing papers authored by Virginia K. Eckenrode

Since Specialization
Citations

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

Fields of papers citing papers by Virginia K. Eckenrode

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Virginia K. Eckenrode. 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 Virginia K. Eckenrode. The network helps show where Virginia K. Eckenrode may publish in the future.

Co-authorship network of co-authors of Virginia K. Eckenrode

This figure shows the co-authorship network connecting the top 25 collaborators of Virginia K. Eckenrode. A scholar is included among the top collaborators of Virginia K. Eckenrode 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 Virginia K. Eckenrode. Virginia K. Eckenrode is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
# Work Indexed citations
1
Primary structure of the Aequorea victoria green-fluorescent protein breakdown →
1593
2 7
3 9
4 147
5 50
6 11

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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