Heather R. Keys

4.2k total citations · 2 hit papers
17 papers, 2.3k citations indexed

About

Heather R. Keys is a scholar working on Molecular Biology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Heather R. Keys has authored 17 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 2 papers in Infectious Diseases and 2 papers in Epidemiology. Recurrent topics in Heather R. Keys's work include Cell death mechanisms and regulation (5 papers), CRISPR and Genetic Engineering (4 papers) and RNA modifications and cancer (3 papers). Heather R. Keys is often cited by papers focused on Cell death mechanisms and regulation (5 papers), CRISPR and Genetic Engineering (4 papers) and RNA modifications and cancer (3 papers). Heather R. Keys collaborates with scholars based in United States, Canada and France. Heather R. Keys's co-authors include David M. Sabatini, Timothy C. Wang, Lynne Chantranupong, Nathanael S. Gray, Carson C. Thoreen, Nora Kory, Sze Ham Chan, Caroline A. Lewis, Jason R. Cantor and Gregory D. Cuny and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Heather R. Keys

17 papers receiving 2.3k citations

Hit Papers

A unifying model for mTORC1-mediated regulation of mRNA t... 2012 2026 2016 2021 2012 2019 250 500 750 1000

Peers

Heather R. Keys
Comparison fields: 5 of 103
  • Molecular Biology 1.7k
  • Cancer Research 384
  • Oncology 257
  • Pulmonary and Respiratory Medicine 232
  • Immunology 199
Huijian Wu China
Asha Acharya United States
Hyuk‐Jin Cha South Korea
Venkatesha Basrur United States
Hua Lu United States
Nunziata Maio United States
Katherine M. Hannan Australia
Kyung Chan Park South Korea
Yusuke Saito Japan
Yaping Tu United States
Huijian Wu China View profile →
Citations per field, relative to Heather R. Keys
Heather R. Keys · 1×
Citations per year, relative to Heather R. Keys
Heather R. Keys · 1×

Countries citing papers authored by Heather R. Keys

Since Specialization
Citations

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

Fields of papers citing papers by Heather R. Keys

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Heather R. Keys. 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 Heather R. Keys. The network helps show where Heather R. Keys may publish in the future.

Co-authorship network of co-authors of Heather R. Keys

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

All Works

17 of 17 papers shown
# Work Indexed citations
1 1
2 4
3 1
4 17
5 10
6 22
7 71
8
Mitochondrial metabolism promotes adaptation to proteotoxic stress breakdown →
436
9 88
10 226
11 169
12 17
13
A unifying model for mTORC1-mediated regulation of mRNA translation breakdown →
1100
14 20
15 25
16 41
17 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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