Starr Hazard
Impact in
- Aging top 10%
-
- Protein Kinase Regulation and GTPase Signaling
- Receptor Mechanisms and Signaling
- Glycosylation and Glycoproteins Research
Papers in
-
- Protein Kinase Regulation and GTPase Signaling 4
- Receptor Mechanisms and Signaling 3
- Glycosylation and Glycoproteins Research 2
- Metabolism, Diabetes, and Cancer 2
- PI3K/AKT/mTOR signaling in cancer 2
- Peroxisome Proliferator-Activated Receptors 1
- Surgery 4
- Cholesterol and Lipid Metabolism 3
- Co-authors
- Stephen M. Lanier (3 shared papers)Shailendra B. Patel (3 shared papers)Michael L. Bernard (2 shared papers)Yuri K. Peterson (3 shared papers)Stephen G. Graber (2 shared papers)Catalina Ribas (1 shared paper)Aya Takesono (1 shared paper)Mary J. Cismowski (1 shared paper)
- Journals
- Journal of Biological Chemistry (5 papers)Journal of Lipid Research (1 paper)Pflügers Archiv - European Journal of Physiology (1 paper)Bioorganic & Medicinal Chemistry (1 paper)Biomaterials (1 paper)
- Partner nations
- United StatesNetherlandsSouth Korea
In The Last Decade
Starr Hazard
11 papers receiving 778 citations
Peers
Comparison fields: 5 of 87
- Aging 24
- Molecular Biology 490
- Immunology 136
- Immunology and Allergy 37
- Cell Biology 107
Countries citing papers authored by Starr Hazard
This map shows the geographic impact of Starr Hazard'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 Starr Hazard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Starr Hazard more than expected).
Fields of papers citing papers by Starr Hazard
This network shows the impact of papers produced by Starr Hazard. 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 Starr Hazard. The network helps show where Starr Hazard may publish in the future.
Co-authors
The 25 scholars most cited alongside Starr Hazard, 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 | 1999 | 247 | |
| 2 | 2000 | 119 | |
| 3 | 2001 | 84 | |
| 4 | 2006 | 84 | |
| 5 | 2006 | 83 | |
| 6 | 2001 | 67 | |
| 7 | 2002 | 47 | |
| 8 | 2006 | 31 | |
| 9 | 2014 | 17 | |
| 10 | 2005 | 12 | |
| 11 | 2006 | 4 |
About Starr Hazard
Starr Hazard is a scholar working on Molecular Biology, Surgery, Oncology, Immunology and Cellular and Molecular Neuroscience, having authored 11 papers that have together received 795 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (4 papers), Cholesterol and Lipid Metabolism (3 papers), Receptor Mechanisms and Signaling (3 papers), Glycosylation and Glycoproteins Research (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Metabolism, Diabetes, and Cancer (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers) and Peroxisome Proliferator-Activated Receptors (1 paper). The work is most often cited by research in Aging (24 citations), Molecular Biology (490 citations), Immunology (136 citations), Immunology and Allergy (37 citations) and Cell Biology (107 citations). Starr Hazard has collaborated with scholars based in United States, Netherlands and South Korea. Frequent co-authors include Stephen M. Lanier, Shailendra B. Patel, Michael L. Bernard, Yuri K. Peterson, Stephen G. Graber, Catalina Ribas, Aya Takesono, Mary J. Cismowski, Peter Chung and Emir Duzic. Their work appears in journals such as Journal of Biological Chemistry, Journal of Lipid Research, Pflügers Archiv - European Journal of Physiology, Bioorganic & Medicinal Chemistry and Biomaterials.
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.