Todd Leff
Impact in
-
- Circadian rhythm and melatonin
- Aging top 5%
Papers in
- Biochemistry 11
- Lipid metabolism and biosynthesis 7
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- Peroxisome Proliferator-Activated Receptors 23
- Metabolism, Diabetes, and Cancer 11
- Nuclear Structure and Function 8
- Co-authors
- Heidi S. Camp (7 shared papers)Jan L. Breslow (8 shared papers)James G. Granneman (2 shared papers)Paolo Sassone‐Corsi (5 shared papers)Wenbo Yang (3 shared papers)Robert Alexander Hegele (7 shared papers)Suresh T. Mathews (4 shared papers)Jonathan D. Smith (3 shared papers)
- Journals
- Journal of Biological Chemistry (11 papers)Journal of Lipid Research (5 papers)Diabetes (5 papers)Journal of Clinical Investigation (4 papers)Endocrinology (3 papers)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Todd Leff
58 papers receiving 4.3k citations
Peers
Comparison fields: 5 of 115
- Endocrine and Autonomic Systems 382
- Aging 101
- Physiology 1.2k
- Biochemistry 311
- Endocrinology, Diabetes and Metabolism 581
Countries citing papers authored by Todd Leff
This map shows the geographic impact of Todd Leff'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 Todd Leff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Todd Leff more than expected).
Fields of papers citing papers by Todd Leff
This network shows the impact of papers produced by Todd Leff. 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 Todd Leff. The network helps show where Todd Leff may publish in the future.
Co-authors
The 25 scholars most cited alongside Todd Leff, 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 425 | |
| 2 | 1995 | 239 | |
| 3 | 2002 | 219 | |
| 4 | 1999 | 205 | |
| 5 | 2000 | 199 | |
| 6 | 2002 | 182 | |
| 7 | 2003 | 181 | |
| 8 | 2001 | 179 | |
| 9 | 2012 | 175 | |
| 10 | 1994 | 155 | |
| 11 | 2003 | 140 | |
| 12 | 1984 | 129 | |
| 13 | 1994 | 120 | |
| 14 | 1995 | 110 | |
| 15 | 1988 | 104 | |
| 16 | 1999 | 104 | |
| 17 | 2009 | 103 | |
| 18 | 1988 | 102 | |
| 19 | 2012 | 90 | |
| 20 | 2001 | 78 |
About Todd Leff
Todd Leff is a scholar working on Biochemistry, Molecular Biology, Physiology, Genetics and Cancer Research, having authored 59 papers that have together received 4.4k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (23 papers), Adipose Tissue and Metabolism (17 papers), Metabolism, Diabetes, and Cancer (11 papers), Nuclear Structure and Function (8 papers), Adipokines, Inflammation, and Metabolic Diseases (7 papers), Lipid metabolism and biosynthesis (7 papers), Diabetes and associated disorders (5 papers) and Pancreatic function and diabetes (5 papers). The work is most often cited by research in Endocrine and Autonomic Systems (382 citations), Aging (101 citations), Physiology (1.2k citations), Biochemistry (311 citations) and Endocrinology, Diabetes and Metabolism (581 citations). Todd Leff has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Heidi S. Camp, Jan L. Breslow, James G. Granneman, Paolo Sassone‐Corsi, Wenbo Yang, Robert Alexander Hegele, Suresh T. Mathews, Jonathan D. Smith, Rajesh Amin and Sherrie R. Tafuri. Their work appears in journals such as Journal of Biological Chemistry, Journal of Lipid Research, Diabetes, Journal of Clinical Investigation and Endocrinology.
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.