Todd Schraw
Impact in
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- Regulation of Appetite and Obesity
- Physiology top 2%
- Adipose Tissue and Metabolism
Papers in
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- Adipokines, Inflammation, and Metabolic Diseases 7
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- Cellular transport and secretion 5
- Co-authors
- Philipp E. Scherer (9 shared papers)Jayoung Kim (3 shared papers)Zhao V. Wang (4 shared papers)Sidney W. Whiteheart (7 shared papers)Nils Halberg (3 shared papers)Mark F. Mehler (1 shared paper)Guangyu Li (1 shared paper)Mathieu Laplante (1 shared paper)
- Journals
- Diabetes (3 papers)Blood (3 papers)Clinical Chemistry (1 paper)Thrombosis and Haemostasis (1 paper)Transfusion (1 paper)
- Partner nations
- United StatesUnited KingdomDenmark
In The Last Decade
Todd Schraw
16 papers receiving 2.5k citations
Todd Schraw's Hit Papers
Peers
Comparison fields: 5 of 93
- Endocrine and Autonomic Systems 292
- Physiology 1.0k
- Epidemiology 1.3k
- Cell Biology 310
- Cardiology and Cardiovascular Medicine 314
Countries citing papers authored by Todd Schraw
This map shows the geographic impact of Todd Schraw'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 Schraw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Todd Schraw more than expected).
Fields of papers citing papers by Todd Schraw
This network shows the impact of papers produced by Todd Schraw. 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 Schraw. The network helps show where Todd Schraw may publish in the future.
Co-authors
The 25 scholars most cited alongside Todd Schraw, 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 | Obesity-associated improvements in metabolic profile through expansion of adipose tissue Hit paper breakdown → | 2007 | 1083 |
| 2 | 2007 | 264 | |
| 3 | 2007 | 189 | |
| 4 | 2008 | 180 | |
| 5 | 2009 | 174 | |
| 6 | 2007 | 143 | |
| 7 | 2001 | 101 | |
| 8 | 2000 | 99 | |
| 9 | 2007 | 87 | |
| 10 | 2008 | 54 | |
| 11 | 2003 | 49 | |
| 12 | 2003 | 45 | |
| 13 | 2007 | 43 | |
| 14 | 2004 | 11 | |
| 15 | 2005 | 10 | |
| 16 | 2000 | 3 |
About Todd Schraw
Todd Schraw is a scholar working on Epidemiology, Cell Biology, Molecular Biology, Physiology and Hematology, having authored 16 papers that have together received 2.5k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (7 papers), Cellular transport and secretion (5 papers), Adipose Tissue and Metabolism (4 papers), Lipid Membrane Structure and Behavior (3 papers), Complement system in diseases (3 papers), Platelet Disorders and Treatments (3 papers), Calcium signaling and nucleotide metabolism (2 papers) and Regulation of Appetite and Obesity (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (292 citations), Physiology (1.0k citations), Epidemiology (1.3k citations), Cell Biology (310 citations) and Cardiology and Cardiovascular Medicine (314 citations). Todd Schraw has collaborated with scholars based in United States, United Kingdom and Denmark. Frequent co-authors include Philipp E. Scherer, Jayoung Kim, Zhao V. Wang, Sidney W. Whiteheart, Nils Halberg, Mark F. Mehler, Guangyu Li, Mathieu Laplante, María Elena Trujillo Ortega and Hua Li. Their work appears in journals such as Diabetes, Blood, Clinical Chemistry, Thrombosis and Haemostasis 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.