M. Gerard Waters
- Cell Biology top 0.2%
- Cellular transport and secretion 23
- Endoplasmic Reticulum Stress and Disease 11
- Physiology top 0.5%
- Molecular Biology top 1%
- Receptor Mechanisms and Signaling 10
- Lipid Membrane Structure and Behavior 8
- Fungal and yeast genetics research 7
- Metabolism, Diabetes, and Cancer 4
- Physiology top 2%
- Aging top 5%
-
- Cholesterol and Lipid Metabolism 4
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- Adipokines, Inflammation, and Metabolic Diseases 4
- Co-authors
- Günter BlobelWilliam J. ChiricoTito SerafiniJames E. RothmanVladimir LupashinSamuel D. WrightStephanie K. SappersteinTian‐Quan Cai
- Journals
- Nature (2 papers)Science (1 paper)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
M. Gerard Waters
58 papers receiving 5.9k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Cell Biology 2.8k
- Physiology 393
- Molecular Biology 4.2k
- Physiology 937
- Aging 51
Countries citing papers authored by M. Gerard Waters
This map shows the geographic impact of M. Gerard Waters'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 M. Gerard Waters with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Gerard Waters more than expected).
Fields of papers citing papers by M. Gerard Waters
This network shows the impact of papers produced by M. Gerard Waters. 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 M. Gerard Waters. The network helps show where M. Gerard Waters may publish in the future.
Co-authorship network
The 25 scholars most cited alongside M. Gerard Waters, 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 | 2022 | 15 | |
| 2 | 2010 | 17 | |
| 3 | 2010 | 13 | |
| 4 | 2010 | 10 | |
| 5 | 2009 | 10 | |
| 6 | 2009 | 13 | |
| 7 | 2008 | 20 | |
| 8 | 2008 | 24 | |
| 9 | 2008 | 21 | |
| 10 | 2007 | 16 | |
| 11 | 2007 | 87 | |
| 12 | 2005 | 90 | |
| 13 | (d)-β-Hydroxybutyrate Inhibits Adipocyte Lipolysis via the Nicotinic Acid Receptor PUMA-Gbreakdown → | 2005 | 529 |
| 14 | 2003 | 104 | |
| 15 | 2001 | 77 | |
| 16 | 2001 | 36 | |
| 17 | 2000 | 90 | |
| 18 | 1999 | 148 | |
| 19 | 1998 | 63 | |
| 20 | 1991 | 38 |
About M. Gerard Waters
M. Gerard Waters is a scholar working on Cell Biology, Physiology and Molecular Biology, having authored 58 papers that have together received 6.0k indexed citations. Recurring topics across this work include Cellular transport and secretion (23 papers), Endoplasmic Reticulum Stress and Disease (11 papers), Receptor Mechanisms and Signaling (10 papers), Lipid Membrane Structure and Behavior (8 papers), Fungal and yeast genetics research (7 papers), Cholesterol and Lipid Metabolism (4 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers) and Metabolism, Diabetes, and Cancer (4 papers). The work is most often cited by research in Cell Biology (2.8k citations), Physiology (393 citations) and Molecular Biology (4.2k citations). M. Gerard Waters has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Günter Blobel, William J. Chirico, Tito Serafini, James E. Rothman, Vladimir Lupashin, Samuel D. Wright, Stephanie K. Sapperstein, James E. Rothman, Tian‐Quan Cai and Andrew K.P. Taggart. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.