Kimberly Kew

703 total citations
22 papers, 479 citations indexed

About

Kimberly Kew is a scholar working on Molecular Biology, Physiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Kimberly Kew has authored 22 papers receiving a total of 479 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Physiology and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Kimberly Kew's work include Mitochondrial Function and Pathology (6 papers), Adipose Tissue and Metabolism (3 papers) and Peptidase Inhibition and Analysis (3 papers). Kimberly Kew is often cited by papers focused on Mitochondrial Function and Pathology (6 papers), Adipose Tissue and Metabolism (3 papers) and Peptidase Inhibition and Analysis (3 papers). Kimberly Kew collaborates with scholars based in United States, Russia and Australia. Kimberly Kew's co-authors include Kelsey McLaughlin, Kelsey H. Fisher‐Wellman, P. Darrell Neufer, Margaret Nelson, Maria J. Torres, Chien‐Te Lin, Tonya N. Zeczycki, Terence E. Ryan, Saame Raza Shaikh and Espen E. Spangenburg and has published in prestigious journals such as Analytical Chemistry, Cell Metabolism and Scientific Reports.

In The Last Decade

Kimberly Kew

22 papers receiving 475 citations

Peers

Kimberly Kew
Comparison fields: 5 of 96
  • Molecular Biology 254
  • Physiology 148
  • Spectroscopy 52
  • Genetics 51
  • Cell Biology 42
Replace Niraj Kumar Srivastava with:
Niraj Kumar Srivastava India
Yana Sandlers United States
Rafael Pérez‐Pérez Spain
Ruifeng Yang China
Nigel Beaton Switzerland
Alicia M. Evangelista United States
Itsuo Murakami Japan
Katja E. Menger United Kingdom
Yasmin Ahmad India
Siyao Chen China
Niraj Kumar Srivastava India View profile →
Citations per field, relative to Kimberly Kew
Kimberly Kew · 1×
Citations per year, relative to Kimberly Kew
Kimberly Kew · 1×

Countries citing papers authored by Kimberly Kew

Since Specialization
Citations

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

Fields of papers citing papers by Kimberly Kew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kimberly Kew

This figure shows the co-authorship network connecting the top 25 collaborators of Kimberly Kew. A scholar is included among the top collaborators of Kimberly Kew 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 Kimberly Kew. Kimberly Kew 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 1
2 4
3 8
4 30
5 8
6 11
7 21
8 78
9 2
10 9
11 15
12 4
13 20
14 19
15 1
16 12
17 2
18 12
19 43
20 132

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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