Lamar 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
- Cell Biology top 5%
- 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
- Surgery 6
- Pancreatic function and diabetes 6
- Co-authors
- Mary L. Standaert (12 shared papers)Gautam Bandyopadhyay (9 shared papers)Jorge Moscat (4 shared papers)Robert V. Farese (10 shared papers)Robert V. Farese (2 shared papers)A. Avignon (4 shared papers)Liming Zhao (2 shared papers)Bingzhi Yu (2 shared papers)
- Journals
- Journal of Biological Chemistry (5 papers)Endocrinology (3 papers)FEBS Letters (2 papers)Archives of Biochemistry and Biophysics (2 papers)Transfusion (1 paper)
- Partner nations
- United StatesSpainJapan
In The Last Decade
Lamar Galloway
17 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 77
- Molecular Biology 1.2k
- Cell Biology 236
- Physiology 343
- Surgery 403
- Endocrinology, Diabetes and Metabolism 118
Countries citing papers authored by Lamar Galloway
This map shows the geographic impact of Lamar 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 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 Galloway more than expected).
Fields of papers citing papers by Lamar Galloway
This network shows the impact of papers produced by Lamar 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 Galloway. The network helps show where Lamar Galloway may publish in the future.
Co-authors
The 25 scholars most cited alongside Lamar 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 | 387 | |
| 2 | 1997 | 254 | |
| 3 | 1997 | 194 | |
| 4 | 1999 | 183 | |
| 5 | 1996 | 117 | |
| 6 | 1997 | 85 | |
| 7 | 1999 | 66 | |
| 8 | 1998 | 57 | |
| 9 | 1996 | 37 | |
| 10 | 2002 | 32 | |
| 11 | 1996 | 17 | |
| 12 | 1996 | 11 | |
| 13 | 2008 | 10 | |
| 14 | 2018 | 8 | |
| 15 | 2003 | 7 | |
| 16 | 2005 | 4 | |
| 17 | TRANSFECTION STUDIES SUGGEST A ROLE FOR PKC-z IN GLUCOSE TRANSPORT* | 1997 | 4 |
About Lamar Galloway
Lamar Galloway is a scholar working on Molecular Biology, Surgery, Neurology, Cell Biology and Physiology, 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), Cholinesterase and Neurodegenerative Diseases (1 paper), Prenatal Substance Exposure Effects (1 paper) and Blood groups and transfusion (1 paper). The work is most often cited by research in Molecular Biology (1.2k citations), Cell Biology (236 citations), Physiology (343 citations), Surgery (403 citations) and Endocrinology, Diabetes and Metabolism (118 citations). Lamar Galloway has collaborated with scholars based in United States, Spain and Japan. Frequent co-authors include Mary L. Standaert, Gautam Bandyopadhyay, Jorge Moscat, Robert V. Farese, Robert V. Farese, A. Avignon, Liming Zhao, Bingzhi Yu, Vittoria Cenni and Andrew Poklepovic. Their work appears in journals such as Journal of Biological Chemistry, Endocrinology, FEBS Letters, Archives of Biochemistry and Biophysics and Transfusion.
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.