Neil S. Shachter

3.0k citations
32 papers · 2.3k indexed · h-index 22

Neil S. Shachter

31 papers receiving 2.3k citations

Peers

Neil S. Shachter
Comparison fields: 5 of 107
  • Endocrinology, Diabetes and Metabolism 859
  • Biochemistry 216
  • Biochemistry 227
  • Nutrition and Dietetics 399
  • Cardiology and Cardiovascular Medicine 557
Replace Josefa Girona with:
Josefa Girona Spain
Geneviève Renier Canada
Kathleen M. Botham United Kingdom
Montserrat Cofán Spain
Jean Bergeron Canada
Josep Julve Spain
Anca D. Dobrian United States
Ludmila Kazdová Czechia
Helena Gylling Finland
Catherine Defoort France
Neil S. Shachter relative to Josefa Girona Spain Josefa Girona's profile →
Citations per field
00.5×1.5×1.8×
Josefa Girona · 1×
Citations per year

Countries citing papers authored by Neil S. Shachter

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Neil S. Shachter Line = papers co-authored together Neil S. Shachter links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201184
2 20109
3 200911
4 200743
5 2005279
6 200527
7 200428
8 200413
9 200438
10 200378
11 200277
12 200271
13 200149
14 200082
15 19972
16 199698
17 1994116
18 19940
19 199310
20 198439

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.

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