Keith Del Villar

452 citations
12 papers · 369 indexed · h-index 9

Keith Del Villar

12 papers receiving 361 citations

Peers

Keith Del Villar
Comparison fields: 5 of 69
  • Developmental Neuroscience 28
  • Molecular Biology 246
  • Neurology 27
  • Cell Biology 53
  • Oncology 86
Replace Takeshi Mukasa with:
Takeshi Mukasa Japan
Zhongmin Yuan China
Thomas R. Whisenhunt United States
Érico T. Costa Brazil
Sherif Boulos Australia
Christine Michiels Belgium
Marcus Grohmann Germany
Elsa Romero United States
Malathi Narayan United States
Elizabeth Ensor United Kingdom
Keith Del Villar relative to Takeshi Mukasa Japan Takeshi Mukasa's profile →
Citations per field
00.5×1.5×2.1×
Takeshi Mukasa · 1×
Citations per year

Countries citing papers authored by Keith Del Villar

Since Specialization
Citations

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

Fields of papers citing papers by Keith Del Villar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Keith Del Villar. 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 Keith Del Villar. The network helps show where Keith Del Villar may publish in the future.

Co-authorship network

The 17 scholars most cited alongside Keith Del Villar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Keith Del Villar Line = papers co-authored together Keith Del Villar links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 200524
2 200436
3 2004105
4 20032
5 199935
6 199838
7 199748
8 19972
9 19978
10
Advances in the development of farnesyltransferase inhibitors: substrate recognition by protein farnesyltransferase.
199719
11 199631
12
Kir, a novel Ras-family G-protein, induces invasive pseudohyphal growth in Saccharomyces cerevisiae.
199521

About Keith Del Villar

Keith Del Villar is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Cell Biology, having authored 12 papers that have together received 369 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (5 papers), Neuroscience and Neuropharmacology Research (3 papers), HER2/EGFR in Cancer Research (3 papers), Cell death mechanisms and regulation (2 papers), Ubiquitin and proteasome pathways (2 papers), Alzheimer's disease research and treatments (2 papers), Cancer-related Molecular Pathways (2 papers) and Bone health and treatments (1 paper). The work is most often cited by research in Developmental Neuroscience (28 citations), Molecular Biology (246 citations) and Neurology (27 citations). Keith Del Villar has collaborated with scholars based in United States and Japan. Frequent co-authors include Carol A. Miller, Fuyuhiko Tamanoi, Jun Urano, Hiroshi Mitsuzawa, Isabel Sattler, Li Zhou, Carol A. Miller, Zhaohui Dong, Nobutaka Suzuki and Wenli Yang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Brain Research.

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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