Greg Landes
Impact in
-
- Lipid metabolism and disorders
-
- Diabetes, Cardiovascular Risks, and Lipoproteins
Papers in
-
- Genomics and Chromatin Dynamics 2
- Advanced biosensing and bioanalysis techniques 1
-
- Lipid metabolism and disorders 3
- Co-authors
- Matthias Schneider (3 shared papers)Jason Gay (3 shared papers)Brian Zambrowicz (3 shared papers)K. Klinger (2 shared papers)Thomas Ried (1 shared paper)David C. Ward (1 shared paper)William R. Dackowski (1 shared paper)Oxana Ibraghimov‐Beskrovnaya (2 shared papers)
- Journals
- Journal of Lipid Research (1 paper)Human Molecular Genetics (1 paper)Journal of Biological Chemistry (1 paper)Functional & Integrative Genomics (1 paper)Drug Discovery Today (1 paper)
- Partner nations
- United StatesCzechia
In The Last Decade
Greg Landes
9 papers receiving 708 citations
Peers
Comparison fields: 5 of 69
- Cardiology and Cardiovascular Medicine 354
- Endocrinology, Diabetes and Metabolism 241
- Cancer Research 142
- Genetics 188
- Biochemistry 28
Countries citing papers authored by Greg Landes
This map shows the geographic impact of Greg Landes'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 Greg Landes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Greg Landes more than expected).
Fields of papers citing papers by Greg Landes
This network shows the impact of papers produced by Greg Landes. 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 Greg Landes. The network helps show where Greg Landes may publish in the future.
Co-authors
The 25 scholars most cited alongside Greg Landes, 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 | 2007 | 155 | |
| 2 | 2009 | 134 | |
| 3 | 2001 | 113 | |
| 4 | 2009 | 105 | |
| 5 | 1992 | 91 | |
| 6 | 2001 | 44 | |
| 7 | 2000 | 43 | |
| 8 | 1985 | 31 | |
| 9 | 2000 | 10 |
About Greg Landes
Greg Landes is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Genetics, Pulmonary and Respiratory Medicine and Endocrinology, Diabetes and Metabolism, having authored 9 papers that have together received 726 indexed citations. Recurring topics across this work include Lipid metabolism and disorders (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Genetic and Kidney Cyst Diseases (2 papers), Genomics and Chromatin Dynamics (2 papers), Atherosclerosis and Cardiovascular Diseases (1 paper), Advanced biosensing and bioanalysis techniques (1 paper), Prostate Cancer Treatment and Research (1 paper) and Genetic factors in colorectal cancer (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (354 citations), Endocrinology, Diabetes and Metabolism (241 citations), Cancer Research (142 citations), Genetics (188 citations) and Biochemistry (28 citations). Greg Landes has collaborated with scholars based in United States and Czechia. Frequent co-authors include Matthias Schneider, Jason Gay, Brian Zambrowicz, K. Klinger, Thomas Ried, David C. Ward, William R. Dackowski, Oxana Ibraghimov‐Beskrovnaya, D.R. Powell and Cuihua Gao. Their work appears in journals such as Journal of Lipid Research, Human Molecular Genetics, Journal of Biological Chemistry, Functional & Integrative Genomics and Drug Discovery Today.
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.