Natalie Weed

773 citations
2 papers · 27 indexed · h-index 2
Topics
Mitochondrial Function and Pathology (1 paper)Bioinformatics and Genomic Networks (1 paper)Machine Learning in Bioinformatics (1 paper)

In The Last Decade

Natalie Weed

2 papers receiving 27 citations

Peers

Natalie Weed
Comparison fields: 5 of 17
  • Molecular Biology 20
  • Cognitive Neuroscience 5
  • Pediatrics, Perinatology and Child Health 2
  • Cell Biology 2
  • Genetics 2
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Countries citing papers authored by Natalie Weed

Since Specialization
Citations

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

Fields of papers citing papers by Natalie Weed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Natalie Weed. 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 Natalie Weed. The network helps show where Natalie Weed may publish in the future.

Co-authorship network of co-authors of Natalie Weed

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

All Works

About Natalie Weed

Natalie Weed is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Infectious Diseases, having authored 2 papers that have together received 27 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (1 paper), Bioinformatics and Genomic Networks (1 paper) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Aging (1 citation), Business and International Management (1 citation) and Molecular Biology (20 citations). Natalie Weed has collaborated with scholars based in United States, Netherlands and Denmark. Frequent co-authors include Jack Waters, Dan Doherty, Elizabeth Bhoj, Elaine H. Zackai, Yuanquan Song, Nile Graddis, Daniel Millman, Alison M. Muir, David A. Zeevi and Sarah E. Sheppard. Their work appears in journals such as PLoS ONE and The American Journal of Human Genetics.

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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