Caroline E. Shamu

6.5k total citations · 3 hit papers
22 papers, 4.4k citations indexed

About

Caroline E. Shamu is a scholar working on Molecular Biology, Cell Biology and Epidemiology. According to data from OpenAlex, Caroline E. Shamu has authored 22 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 7 papers in Cell Biology and 3 papers in Epidemiology. Recurrent topics in Caroline E. Shamu's work include Endoplasmic Reticulum Stress and Disease (6 papers), RNA and protein synthesis mechanisms (5 papers) and Molecular Biology Techniques and Applications (4 papers). Caroline E. Shamu is often cited by papers focused on Endoplasmic Reticulum Stress and Disease (6 papers), RNA and protein synthesis mechanisms (5 papers) and Molecular Biology Techniques and Applications (4 papers). Caroline E. Shamu collaborates with scholars based in United States, United Kingdom and Hong Kong. Caroline E. Shamu's co-authors include Peter Walter, Jeffery S. Cox, Peter Walter, Michael M. Shen, Jonathan Hodgkin, Christopher S. Raymond, David Zarkower, Betsy Hirsch, Hidde L. Ploegh and Tom A. Rapoport and has published in prestigious journals such as Nature, Cell and Nature Reviews Molecular Cell Biology.

In The Last Decade

Caroline E. Shamu

22 papers receiving 4.4k citations

Hit Papers

Oligomerization and phosphorylation of the Ire1p kinase d... 1993 2026 2004 2015 1996 1993 1998 250 500 750 1000

Peers

Caroline E. Shamu
Comparison fields: 5 of 138
  • Molecular Biology 2.8k
  • Cell Biology 1.8k
  • Epidemiology 862
  • Genetics 792
  • Immunology 436
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Nobumoto Watanabe Japan View profile →
Citations per field, relative to Caroline E. Shamu
Caroline E. Shamu · 1×
Citations per year, relative to Caroline E. Shamu
Caroline E. Shamu · 1×

Countries citing papers authored by Caroline E. Shamu

Since Specialization
Citations

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

Fields of papers citing papers by Caroline E. Shamu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Caroline E. Shamu. 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 Caroline E. Shamu. The network helps show where Caroline E. Shamu may publish in the future.

Co-authorship network of co-authors of Caroline E. Shamu

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 51
2 247
3 32
4 7
5 10
6 30
7 23
8 37
9 439
10 21
11 79
12 111
13 154
14 133
15 26
16
Evidence for evolutionary conservation of sex-determining genes breakdown →
619
17 31
18 130
19
Transcriptional induction of genes encoding endoplasmic reticulum resident proteins requires a transmembrane protein kinase breakdown →
989
20 156

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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