Tracy Keller
Impact in
- Cell Biology top 5%
- Cellular transport and secretion
- Endoplasmic Reticulum Stress and Disease
- Molecular Biology top 5%
- Protein Kinase Regulation and GTPase Signaling
- PI3K/AKT/mTOR signaling in cancer
- Developmental Biology and Gene Regulation
- RNA and protein synthesis mechanisms
- TGF-β signaling in diseases
Papers in
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- RNA and protein synthesis mechanisms 2
- Protein Kinase Regulation and GTPase Signaling 2
- Glycosylation and Glycoproteins Research 1
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- Immune Cell Function and Interaction 3
- Co-authors
- Malcolm Whitman (12 shared papers)Marilyn L. Keeler (1 shared paper)C. Peter Downes (1 shared paper)Lewis C. Cantley (1 shared paper)Anjana Rao (3 shared papers)Mark S. Sundrud (3 shared papers)Ralph Mazitschek (3 shared papers)Peter ten Dijke (1 shared paper)
- Journals
- Cell (2 papers)Science (2 papers)Development (1 paper)Nature Chemical Biology (1 paper)Nature (1 paper)
- Partner nations
- United StatesSouth KoreaNetherlands
In The Last Decade
Tracy Keller
12 papers receiving 2.0k citations
Tracy Keller's Hit Papers
Peers
Comparison fields: 5 of 97
- Cell Biology 360
- Molecular Biology 1.3k
- Immunology 315
- Parasitology 101
- Biological Psychiatry 35
Countries citing papers authored by Tracy Keller
This map shows the geographic impact of Tracy Keller'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 Tracy Keller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tracy Keller more than expected).
Fields of papers citing papers by Tracy Keller
This network shows the impact of papers produced by Tracy Keller. 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 Tracy Keller. The network helps show where Tracy Keller may publish in the future.
Co-authors
The 25 scholars most cited alongside Tracy Keller, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Type I phosphatidylinositol kinase makes a novel inositol phospholipid, phosphatidylinositol-3-phosphate Hit paper breakdown → | 1988 | 908 |
| 2 | 2009 | 344 | |
| 3 | 2012 | 313 | |
| 4 | 2000 | 225 | |
| 5 | 1992 | 120 | |
| 6 | 2014 | 103 | |
| 7 | 2020 | 28 | |
| 8 | 2015 | 27 | |
| 9 | 2015 | 19 | |
| 10 | 2014 | 3 | |
| 11 | 1994 | 3 | |
| 12 | 2025 | 1 |
About Tracy Keller
Tracy Keller is a scholar working on Molecular Biology, Immunology, Parasitology, Infectious Diseases and Organic Chemistry, having authored 12 papers that have together received 2.1k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (3 papers), RNA and protein synthesis mechanisms (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Vector-borne infectious diseases (2 papers), Viral Infections and Vectors (1 paper), Glycosylation and Glycoproteins Research (1 paper), Mosquito-borne diseases and control (1 paper) and Quinazolinone synthesis and applications (1 paper). The work is most often cited by research in Cell Biology (360 citations), Molecular Biology (1.3k citations), Immunology (315 citations), Parasitology (101 citations) and Biological Psychiatry (35 citations). Tracy Keller has collaborated with scholars based in United States, South Korea and Netherlands. Frequent co-authors include Malcolm Whitman, Marilyn L. Keeler, C. Peter Downes, Lewis C. Cantley, Anjana Rao, Mark S. Sundrud, Ralph Mazitschek, Peter ten Dijke, Sandrine Faure and Michelle A. Lee. Their work appears in journals such as Cell, Science, Development, Nature Chemical Biology and Nature.
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.