Tracey McLaughlin
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- Diabetes, Cardiovascular Risks, and Lipoproteins 26
- Diabetes Treatment and Management 16
- Diabetes Management and Research 12
- Physiology top 0.5%
- Adipose Tissue and Metabolism 26
- Diet and metabolism studies 18
- Epidemiology top 0.5%
- Adipokines, Inflammation, and Metabolic Diseases 33
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- Metabolism, Diabetes, and Cancer 18
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- Bariatric Surgery and Outcomes 15
Tracey McLaughlin
111 papers receiving 9.0k citations
Hit Papers
Peers
Comparison fields: 5 of 162
- Endocrinology, Diabetes and Metabolism 3.1k
- Physiology 3.7k
- Epidemiology 3.2k
- Endocrine and Autonomic Systems 621
- Cardiology and Cardiovascular Medicine 2.0k
Countries citing papers authored by Tracey McLaughlin
This map shows the geographic impact of Tracey McLaughlin'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 Tracey McLaughlin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tracey McLaughlin more than expected).
Fields of papers citing papers by Tracey McLaughlin
This network shows the impact of papers produced by Tracey McLaughlin. 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 Tracey McLaughlin. The network helps show where Tracey McLaughlin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tracey McLaughlin, 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 | 2025 | 2 | |
| 2 | 2025 | 10 | |
| 3 | 2023 | 5 | |
| 4 | 2023 | 2 | |
| 5 | 2022 | 65 | |
| 6 | 2016 | 94 | |
| 7 | 2011 | 12 | |
| 8 | B cells promote insulin resistance through modulation of T cells and production of pathogenic IgG antibodiesbreakdown → | 2011 | 806 |
| 9 | 2010 | 15 | |
| 10 | 2010 | 10 | |
| 11 | 2007 | 308 | |
| 12 | 2007 | 153 | |
| 13 | 2006 | 8 | |
| 14 | 2006 | 79 | |
| 15 | 2004 | 130 | |
| 16 | 2003 | 28 | |
| 17 | 2002 | 445 | |
| 18 | 2001 | 26 | |
| 19 | 1999 | 66 | |
| 20 | 1997 | 21 |
About Tracey McLaughlin
Tracey McLaughlin is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology, Epidemiology, Endocrine and Autonomic Systems and Cardiology and Cardiovascular Medicine, having authored 113 papers that have together received 9.3k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (33 papers), Adipose Tissue and Metabolism (26 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (26 papers), Diet and metabolism studies (18 papers), Metabolism, Diabetes, and Cancer (18 papers), Diabetes Treatment and Management (16 papers), Bariatric Surgery and Outcomes (15 papers) and Diabetes Management and Research (12 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (3.1k citations), Physiology (3.7k citations), Epidemiology (3.2k citations), Endocrine and Autonomic Systems (621 citations) and Cardiology and Cardiovascular Medicine (2.0k citations). Tracey McLaughlin has collaborated with scholars based in United States, Denmark and Germany. Frequent co-authors include Cindy Lamendola, Fahim Abbasi, Gerald M. Reaven, James W. Chu, Karen Cheal, Edgar G. Engleman, Lei Shen, Philip S. Tsao, Samuel W. Cushman and Alice Liu. Their work appears in journals such as Metabolism, The Journal of Clinical Endocrinology & Metabolism, Diabetologia, Diabetes Obesity and Metabolism and The American Journal of Cardiology.
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.