Natasha C. Lucki

934 total citations
17 papers, 696 citations indexed

About

Natasha C. Lucki is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Natasha C. Lucki has authored 17 papers receiving a total of 696 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Surgery and 4 papers in Genetics. Recurrent topics in Natasha C. Lucki's work include Cholesterol and Lipid Metabolism (7 papers), Sphingolipid Metabolism and Signaling (6 papers) and Sports Performance and Training (3 papers). Natasha C. Lucki is often cited by papers focused on Cholesterol and Lipid Metabolism (7 papers), Sphingolipid Metabolism and Signaling (6 papers) and Sports Performance and Training (3 papers). Natasha C. Lucki collaborates with scholars based in United States, South Korea and Israel. Natasha C. Lucki's co-authors include Marion B. Sewer, Christopher W. Nicolay, Justin L. Anglin, Luke L. Lairson, Brandon Nicolay, Pradeep K. Singh, Lewis C. Cantley, John Blenis, Costas A. Lyssiotis and Hidenori Takahashi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Molecular and Cellular Biology.

In The Last Decade

Natasha C. Lucki

17 papers receiving 690 citations

Peers

Natasha C. Lucki
Comparison fields: 5 of 94
  • Molecular Biology 448
  • Cancer Research 184
  • Biochemistry 102
  • Cell Biology 74
  • Genetics 71
Replace Kai‐Ti Lin with:
Kai‐Ti Lin Taiwan
Eleonora Paradies Italy
Toshihito Nagata Japan
Lívia Carvalho Ferreira Brazil
Madhura Kulkarni United States
Andrew L. Cangelosi United States
Robynn V. Schillace United States
Cristina Mascaró Spain
Mary Y. Lorenson United States
Seu‐Mei Wang Taiwan
Kai‐Ti Lin Taiwan View profile →
Citations per field, relative to Natasha C. Lucki
Natasha C. Lucki · 1×
Citations per year, relative to Natasha C. Lucki
Natasha C. Lucki · 1×

Countries citing papers authored by Natasha C. Lucki

Since Specialization
Citations

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

Fields of papers citing papers by Natasha C. Lucki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Natasha C. Lucki. 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 Natasha C. Lucki. The network helps show where Natasha C. Lucki may publish in the future.

Co-authorship network of co-authors of Natasha C. Lucki

This figure shows the co-authorship network connecting the top 25 collaborators of Natasha C. Lucki. A scholar is included among the top collaborators of Natasha C. Lucki 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 Natasha C. Lucki. Natasha C. Lucki 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 25
2 4
3 251
4 16
5 14
6 25
7 32
8 71
9 29
10 62
11 45
12 23
13
Multiple Signaling Pathways Coordinate CYP17 Gene Expression in the Human Adrenal Cortex.
6
14 47
15 4
16 31
17 11

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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