Susan Gray
Impact in
- Molecular Biology top 5%
- Kruppel-like factors research
- Cancer-related gene regulation
- Peroxisome Proliferator-Activated Receptors
- Metabolism, Diabetes, and Cancer
- RNA Research and Splicing
- Physiology top 5%
- Adipose Tissue and Metabolism
Papers in
-
- Kruppel-like factors research 11
- Cancer-related gene regulation 6
- Peroxisome Proliferator-Activated Receptors 3
- FOXO transcription factor regulation 2
- Metabolism, Diabetes, and Cancer 1
-
- Endoplasmic Reticulum Stress and Disease 3
- Co-authors
- Jason K. Kim (7 shared papers)Mark W. Feinberg (3 shared papers)Richard L. Haspel (3 shared papers)Masafumi Watanabe (3 shared papers)Mukesh K. Jain (3 shared papers)Mukesh K. Jain (2 shared papers)Baiqiu Wang (4 shared papers)Saptarsi M. Haldar (4 shared papers)
- Journals
- Cell Metabolism (2 papers)Journal of Biological Chemistry (2 papers)Endocrinology (1 paper)Journal of Molecular and Cellular Cardiology (1 paper)Journal of Neuroscience (1 paper)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Susan Gray
21 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 98
- Molecular Biology 1.4k
- Physiology 427
- Developmental Neuroscience 59
- Aging 24
- Cell Biology 213
Countries citing papers authored by Susan Gray
This map shows the geographic impact of Susan Gray'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 Susan Gray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susan Gray more than expected).
Fields of papers citing papers by Susan Gray
This network shows the impact of papers produced by Susan Gray. 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 Susan Gray. The network helps show where Susan Gray may publish in the future.
Co-authors
The 25 scholars most cited alongside Susan Gray, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 250 | |
| 2 | 2007 | 246 | |
| 3 | 2002 | 197 | |
| 4 | 2007 | 184 | |
| 5 | 2009 | 172 | |
| 6 | 2007 | 171 | |
| 7 | 2009 | 125 | |
| 8 | 1999 | 104 | |
| 9 | 2011 | 103 | |
| 10 | 2009 | 97 | |
| 11 | 2008 | 78 | |
| 12 | 2001 | 61 | |
| 13 | 2011 | 60 | |
| 14 | 2002 | 43 | |
| 15 | 2012 | 42 | |
| 16 | 2013 | 37 | |
| 17 | 2004 | 28 | |
| 18 | 2010 | 28 | |
| 19 | 2010 | 23 | |
| 20 | 2006 | 13 |
About Susan Gray
Susan Gray is a scholar working on Molecular Biology, Cell Biology, Physiology, Genetics and Genetics, having authored 21 papers that have together received 2.1k indexed citations. Recurring topics across this work include Kruppel-like factors research (11 papers), Cancer-related gene regulation (6 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Adipose Tissue and Metabolism (2 papers), Genetic Syndromes and Imprinting (2 papers), FOXO transcription factor regulation (2 papers) and Metabolism, Diabetes, and Cancer (1 paper). The work is most often cited by research in Molecular Biology (1.4k citations), Physiology (427 citations), Developmental Neuroscience (59 citations), Aging (24 citations) and Cell Biology (213 citations). Susan Gray has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Jason K. Kim, Mark W. Feinberg, Richard L. Haspel, Masafumi Watanabe, Mukesh K. Jain, Mukesh K. Jain, Baiqiu Wang, Saptarsi M. Haldar, Mukesh K. Jain and Sudeshna Fisch. Their work appears in journals such as Cell Metabolism, Journal of Biological Chemistry, Endocrinology, Journal of Molecular and Cellular Cardiology and Journal of Neuroscience.
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.