Neil S. Shachter
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- Diabetes, Cardiovascular Risks, and Lipoproteins 14
- Biochemistry top 2%
- Biochemistry top 2%
- Nutrition and Dietetics top 2%
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- Lipid metabolism and disorders 11
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- Lipoproteins and Cardiovascular Health 7
- Cholesterol and Lipid Metabolism 3
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- Cancer, Lipids, and Metabolism 5
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- Pharmacology and Obesity Treatment 4
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- Alzheimer's disease research and treatments 3
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- Peroxisome Proliferator-Activated Receptors 3
- Co-authors
- María Luz FernándezLars BerglundR RamakrishnanTetsu EbaraYanzhu LiuHenry N. GinsbergSheryl L. WindsorMarian M. Adams
- Journals
- Journal of Lipid Research (7 papers)Journal of Clinical Investigation (4 papers)Journal of Nutrition (4 papers)
- Partner nations
- United StatesCanadaAustria
In The Last Decade
Neil S. Shachter
31 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 107
- Endocrinology, Diabetes and Metabolism 859
- Biochemistry 216
- Biochemistry 227
- Nutrition and Dietetics 399
- Cardiology and Cardiovascular Medicine 557
Countries citing papers authored by Neil S. Shachter
This map shows the geographic impact of Neil S. Shachter'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 Neil S. Shachter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neil S. Shachter more than expected).
Fields of papers citing papers by Neil S. Shachter
This network shows the impact of papers produced by Neil S. Shachter. 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 Neil S. Shachter. The network helps show where Neil S. Shachter may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Neil S. Shachter, 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 | 2011 | 84 | |
| 2 | 2010 | 9 | |
| 3 | 2009 | 11 | |
| 4 | 2007 | 43 | |
| 5 | 2005 | 279 | |
| 6 | 2005 | 27 | |
| 7 | 2004 | 28 | |
| 8 | 2004 | 13 | |
| 9 | 2004 | 38 | |
| 10 | 2003 | 78 | |
| 11 | 2002 | 77 | |
| 12 | 2002 | 71 | |
| 13 | 2001 | 49 | |
| 14 | 2000 | 82 | |
| 15 | 1997 | 2 | |
| 16 | 1996 | 98 | |
| 17 | 1994 | 116 | |
| 18 | 1994 | 0 | |
| 19 | 1993 | 10 | |
| 20 | 1984 | 39 |
About Neil S. Shachter
Neil S. Shachter is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Cancer Research, Biochemistry and Pharmacology, having authored 32 papers that have together received 2.3k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (14 papers), Lipid metabolism and disorders (11 papers), Lipoproteins and Cardiovascular Health (7 papers), Cancer, Lipids, and Metabolism (5 papers), Pharmacology and Obesity Treatment (4 papers), Alzheimer's disease research and treatments (3 papers), Cholesterol and Lipid Metabolism (3 papers) and Peroxisome Proliferator-Activated Receptors (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (859 citations), Biochemistry (216 citations), Biochemistry (227 citations), Nutrition and Dietetics (399 citations) and Cardiology and Cardiovascular Medicine (557 citations). Neil S. Shachter has collaborated with scholars based in United States, Canada and Austria. Frequent co-authors include María Luz Fernández, Lars Berglund, R Ramakrishnan, Tetsu Ebara, Yanzhu Liu, Henry N. Ginsberg, Sheryl L. Windsor, Marian M. Adams, George Steiner and Kristy L. West. Their work appears in journals such as Journal of Lipid Research, Journal of Clinical Investigation, Journal of Nutrition, Atherosclerosis and Metabolism.
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.