Elizabeth G. Walker

1.2k total citations
14 papers, 514 citations indexed

About

Elizabeth G. Walker is a scholar working on Small Animals, Physiology and Statistics and Probability. According to data from OpenAlex, Elizabeth G. Walker has authored 14 papers receiving a total of 514 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Small Animals, 4 papers in Physiology and 4 papers in Statistics and Probability. Recurrent topics in Elizabeth G. Walker's work include Biomedical Ethics and Regulation (4 papers), Animal testing and alternatives (4 papers) and Statistical Methods in Clinical Trials (4 papers). Elizabeth G. Walker is often cited by papers focused on Biomedical Ethics and Regulation (4 papers), Animal testing and alternatives (4 papers) and Statistical Methods in Clinical Trials (4 papers). Elizabeth G. Walker collaborates with scholars based in United States, United Kingdom and Switzerland. Elizabeth G. Walker's co-authors include Lee R. Hickok, Wayne Katon, Joan Russo, John‐Michael Sauer, Nicole A. Errett, Gregory N. Bratman, Peter M. Burch, Warren E. Glaab, Daniel Holder and Jonathan A. Phillips and has published in prestigious journals such as Nature Biotechnology, American Journal of Psychiatry and International Journal of Environmental Research and Public Health.

In The Last Decade

Elizabeth G. Walker

14 papers receiving 481 citations

Peers

Elizabeth G. Walker
Comparison fields: 5 of 94
  • Clinical Psychology 152
  • Psychiatry and Mental health 80
  • Public Health, Environmental and Occupational Health 79
  • Reproductive Medicine 71
  • General Health Professions 69
Replace Kristine E. Lynch with:
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Kristine E. Lynch United States View profile →
Citations per field, relative to Elizabeth G. Walker
Elizabeth G. Walker · 1×
Citations per year, relative to Elizabeth G. Walker
Elizabeth G. Walker · 1×

Countries citing papers authored by Elizabeth G. Walker

Since Specialization
Citations

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

Fields of papers citing papers by Elizabeth G. Walker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elizabeth G. Walker

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

All Works

14 of 14 papers shown
# Work Indexed citations
1 32
2 13
3 2
4 23
5 28
6 1
7 3
8 35
9 11
10 4
11 5
12 21
13 28
14 308

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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