Elizabeth C. Goode

2.0k total citations · 1 hit paper
9 papers, 1.2k citations indexed

About

Elizabeth C. Goode is a scholar working on Epidemiology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Elizabeth C. Goode has authored 9 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Epidemiology, 3 papers in Surgery and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Elizabeth C. Goode's work include Liver Diseases and Immunity (3 papers), Liver Disease Diagnosis and Treatment (2 papers) and Glycosylation and Glycoproteins Research (1 paper). Elizabeth C. Goode is often cited by papers focused on Liver Diseases and Immunity (3 papers), Liver Disease Diagnosis and Treatment (2 papers) and Glycosylation and Glycoproteins Research (1 paper). Elizabeth C. Goode collaborates with scholars based in United Kingdom, United States and Australia. Elizabeth C. Goode's co-authors include Trevor C. McMorris, Daniel J. Noonan, William W. Lamph, Barry M. Forman, Ronald M. Evans, Jasmine Chen, David J. Bradley, Thomas Perlmann, Cary Weinberger and Leo T. Burka and has published in prestigious journals such as Cell, Nature Communications and Blood.

In The Last Decade

Elizabeth C. Goode

9 papers receiving 1.2k citations

Hit Papers

Identification of a nuclear receptor that is activated by... 1995 2026 2005 2015 1995 250 500 750

Peers

Elizabeth C. Goode
Comparison fields: 5 of 89
  • Oncology 613
  • Molecular Biology 436
  • Surgery 410
  • Epidemiology 260
  • Genetics 189
Replace Takaharu Maruyama with:
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Songwen Zhang China
Emmanuel Bouchaert France
Véronique Clavey France
Manhong Wu United States
Hélène Dehondt France
He-Sheng Luo China
Shinji Ito Japan
F. Bradley Hillgartner United States
Takaharu Maruyama Japan View profile →
Citations per field, relative to Elizabeth C. Goode
Elizabeth C. Goode · 1×
Citations per year, relative to Elizabeth C. Goode
Elizabeth C. Goode · 1×

Countries citing papers authored by Elizabeth C. Goode

Since Specialization
Citations

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

Fields of papers citing papers by Elizabeth C. Goode

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elizabeth C. Goode

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

All Works

9 of 9 papers shown
# Work Indexed citations
1 1
2 31
3 3
4 6
5 7
6 46
7 25
8
Identification of a nuclear receptor that is activated by farnesol metabolites breakdown →
989
9 69

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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