Lamar C. Galloway
Impact in
- Molecular Biology top 10%
- Metabolism, Diabetes, and Cancer
- Protein Kinase Regulation and GTPase Signaling
- PI3K/AKT/mTOR signaling in cancer
- Receptor Mechanisms and Signaling
- Peroxisome Proliferator-Activated Receptors
- Cell Biology top 10%
- Cellular transport and secretion
Papers in
-
- Metabolism, Diabetes, and Cancer 12
- Protein Kinase Regulation and GTPase Signaling 9
- PI3K/AKT/mTOR signaling in cancer 2
- Insect Resistance and Genetics 1
- Surgery 6
- Pancreatic function and diabetes 6
- Co-authors
- Mary L. Standaert (12 shared papers)Gautam Kumar Bandyopadhyay (9 shared papers)Robert V. Farese (10 shared papers)Jorge Moscat (4 shared papers)Robert V. Farese (2 shared papers)Antoine Avignon (4 shared papers)Bingzhi Yu (2 shared papers)Liming Zhao (2 shared papers)
- Journals
- Journal of Biological Chemistry (5 papers)Endocrinology (3 papers)Archives of Biochemistry and Biophysics (2 papers)FEBS Letters (2 papers)Cellular Signalling (1 paper)
- Partner nations
- United StatesSpainJapan
In The Last Decade
Lamar C. Galloway
17 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 75
- Molecular Biology 1.2k
- Cell Biology 224
- Physiology 328
- Surgery 389
- Endocrinology, Diabetes and Metabolism 107
Countries citing papers authored by Lamar C. Galloway
This map shows the geographic impact of Lamar C. Galloway'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 Lamar C. Galloway with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lamar C. Galloway more than expected).
Fields of papers citing papers by Lamar C. Galloway
This network shows the impact of papers produced by Lamar C. Galloway. 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 Lamar C. Galloway. The network helps show where Lamar C. Galloway may publish in the future.
Co-authors
The 25 scholars most cited alongside Lamar C. Galloway, 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 | 1997 | 392 | |
| 2 | 1997 | 263 | |
| 3 | 1997 | 195 | |
| 4 | 1999 | 186 | |
| 5 | 1996 | 121 | |
| 6 | 1997 | 85 | |
| 7 | 1999 | 68 | |
| 8 | 1998 | 59 | |
| 9 | 1996 | 38 | |
| 10 | 2002 | 32 | |
| 11 | 1996 | 17 | |
| 12 | 2008 | 12 | |
| 13 | 1996 | 11 | |
| 14 | 2018 | 9 | |
| 15 | 2003 | 7 | |
| 16 | TRANSFECTION STUDIES SUGGEST A ROLE FOR PKC-z IN GLUCOSE TRANSPORT* | 1997 | 4 |
| 17 | 2005 | 4 |
About Lamar C. Galloway
Lamar C. Galloway is a scholar working on Molecular Biology, Surgery, Biochemistry, Neurology and Cell Biology, having authored 17 papers that have together received 1.5k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (12 papers), Protein Kinase Regulation and GTPase Signaling (9 papers), Pancreatic function and diabetes (6 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Lipid metabolism and biosynthesis (1 paper), Insect Resistance and Genetics (1 paper) and Adipose Tissue and Metabolism (1 paper). The work is most often cited by research in Molecular Biology (1.2k citations), Cell Biology (224 citations), Physiology (328 citations), Surgery (389 citations) and Endocrinology, Diabetes and Metabolism (107 citations). Lamar C. Galloway has collaborated with scholars based in United States, Spain and Japan. Frequent co-authors include Mary L. Standaert, Gautam Kumar Bandyopadhyay, Robert V. Farese, Jorge Moscat, Robert V. Farese, Antoine Avignon, Bingzhi Yu, Liming Zhao, Andrew Stewart Poklepovic and Alex Toker. Their work appears in journals such as Journal of Biological Chemistry, Endocrinology, Archives of Biochemistry and Biophysics, FEBS Letters and Cellular Signalling.
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.