Michelle T. Long

7.9k total citations · 2 hit papers
111 papers, 3.1k citations indexed

About

Michelle T. Long is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism and Hepatology. According to data from OpenAlex, Michelle T. Long has authored 111 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Epidemiology, 31 papers in Endocrinology, Diabetes and Metabolism and 31 papers in Hepatology. Recurrent topics in Michelle T. Long's work include Liver Disease Diagnosis and Treatment (64 papers), Liver Disease and Transplantation (24 papers) and Diet, Metabolism, and Disease (22 papers). Michelle T. Long is often cited by papers focused on Liver Disease Diagnosis and Treatment (64 papers), Liver Disease and Transplantation (24 papers) and Diet, Metabolism, and Disease (22 papers). Michelle T. Long collaborates with scholars based in United States, Denmark and Canada. Michelle T. Long's co-authors include Joseph M. Massaro, Udo Hoffmann, Alison Pedley, Emelia J. Benjamin, Joseph K. Lim, Mazen Noureddin, Daniel Levy, Ramachandran S. Vasan, Jiantao Ma and Caroline S. Fox and has published in prestigious journals such as New England Journal of Medicine, JAMA and SHILAP Revista de lepidopterología.

In The Last Decade

Michelle T. Long

106 papers receiving 3.1k citations

Hit Papers

AGA Clinical Practice Update: Diagnosis and Management of... 2022 2026 2023 2024 2022 2025 50 100 150

Peers

Michelle T. Long
Kyung Eun Yun South Korea
Cheng Han Ng Singapore
Mark Muthiah Singapore
Ki‐Chul Sung South Korea
Bo Kyung Koo South Korea
Kyungdo Han South Korea
Wen Hui Lim Singapore
Kyung Eun Yun South Korea
Michelle T. Long
Citations per year, relative to Michelle T. Long Michelle T. Long (= 1×) peers Kyung Eun Yun

Countries citing papers authored by Michelle T. Long

Since Specialization
Citations

This map shows the geographic impact of Michelle T. Long'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 Michelle T. Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michelle T. Long more than expected).

Fields of papers citing papers by Michelle T. Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michelle T. Long. 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 Michelle T. Long. The network helps show where Michelle T. Long may publish in the future.

Co-authorship network of co-authors of Michelle T. Long

This figure shows the co-authorship network connecting the top 25 collaborators of Michelle T. Long. A scholar is included among the top collaborators of Michelle T. Long based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michelle T. Long. Michelle T. Long is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sun, Natalie, Jiantao Ma, Vanessa Xanthakis, et al.. (2025). The cross–sectional association between ultra-processed food intake and metabolic dysfunction-associated steatotic liver disease. Clinical Nutrition ESPEN. 66. 215–220. 2 indexed citations
2.
Niezen, Sebastian, Aarshi Vipani, Ju Dong Yang, et al.. (2024). Food Insecurity in Hispanic Populations Is Associated with an Increased Risk of Hepatic Steatosis: A Nationally Representative Study. Journal of Clinical Medicine. 13(11). 3206–3206. 2 indexed citations
3.
Long, Michelle T., et al.. (2024). Eggs, Dietary Choline, and Nonalcoholic Fatty Liver Disease in the Framingham Heart Study. Journal of Nutrition. 155(3). 923–935. 2 indexed citations
4.
Sun, Natalie, et al.. (2024). Prevalence of Steatotic Liver Disease Subtypes and Association With Metabolic Risk Factors in the Framingham Heart Study. Clinical Gastroenterology and Hepatology. 22(11). 2330–2333. 1 indexed citations
5.
Cooper, Leroy L., Vanessa Xanthakis, Emelia J. Benjamin, et al.. (2024). Association of Aortic Stiffness and Pressure Pulsatility With Noninvasive Estimates of Hepatic Steatosis and Fibrosis: The Framingham Heart Study. Arteriosclerosis Thrombosis and Vascular Biology. 44(7). 1704–1715. 1 indexed citations
7.
Long, Michelle T., et al.. (2023). Eat to Treat: The Methods and Assessments of a Culinary Medicine Seminar for Future Physicians and Practicing Clinicians. Nutrients. 15(22). 4819–4819. 1 indexed citations
8.
Rich, Katherine M., et al.. (2023). The Impact of Incarceration on Readmissions Among Patients With Inflammatory Bowel Disease Hospitalized at a Community Hospital. SHILAP Revista de lepidopterología. 2(5). 660–665. 1 indexed citations
9.
Long, Michelle T., Mazen Noureddin, & Joseph K. Lim. (2022). AGA Clinical Practice Update: Diagnosis and Management of Nonalcoholic Fatty Liver Disease in Lean Individuals: Expert Review. Gastroenterology. 163(3). 764–774.e1. 178 indexed citations breakdown →
10.
Long, Michelle T., et al.. (2022). The NAFLD Decompensation Risk Score: External Validation and Comparison to Existing Models to Predict Hepatic Events in a Retrospective Cohort Study. Journal of Clinical and Experimental Hepatology. 13(2). 233–240. 5 indexed citations
11.
Naimi, Timothy S., et al.. (2022). Nonheavy Alcohol Use Associates With Liver Fibrosis and Nonalcoholic Steatohepatitis in the Framingham Heart Study. Clinical Gastroenterology and Hepatology. 21(11). 2854–2863.e2. 16 indexed citations
12.
Kammerlander, Andreas A., Asya Lyass, Taylor F. Mahoney, et al.. (2021). Sex Differences in the Associations of Visceral Adipose Tissue and Cardiometabolic and Cardiovascular Disease Risk: The Framingham Heart Study. Journal of the American Heart Association. 10(11). e019968–e019968. 63 indexed citations
13.
Fricker, Zachary, Naga Chalasani, Bashar M. Attar, et al.. (2020). MELD–Na Is More Strongly Associated with Risk of Infection and Outcomes Than Other Characteristics of Patients with Cirrhosis. Digestive Diseases and Sciences. 66(1). 247–256. 2 indexed citations
14.
Long, Michelle T., Xiaoyu Zhang, Hanfei Xu, et al.. (2020). Hepatic Fibrosis Associates With Multiple Cardiometabolic Disease Risk Factors: The Framingham Heart Study. Hepatology. 73(2). 548–559. 77 indexed citations
15.
Long, Michelle T., et al.. (2020). Advances in non-invasive biomarkers for the diagnosis and monitoring of non-alcoholic fatty liver disease. Metabolism. 111. 154259–154259. 56 indexed citations
16.
Ma, Jiantao, Rachel Hennein, Chunyu Liu, et al.. (2018). Improved Diet Quality Associates With Reduction in Liver Fat, Particularly in Individuals With High Genetic Risk Scores for Nonalcoholic Fatty Liver Disease. Gastroenterology. 155(1). 107–117. 139 indexed citations
17.
Lee, Jane, Alison Pedley, Udo Hoffmann, et al.. (2017). Longitudinal Associations of Pericardial and Intrathoracic Fat With Progression of Coronary Artery Calcium (from the Framingham Heart Study). The American Journal of Cardiology. 121(2). 162–167. 8 indexed citations
18.
Ko, Darae, Eric M. Riles, Jared W. Magnani, et al.. (2016). Metabolomic Profiling in Relation to New-Onset Atrial Fibrillation (from the Framingham Heart Study). The American Journal of Cardiology. 118(10). 1493–1496. 23 indexed citations
19.
Long, Michelle T., et al.. (2016). Recent Trends in Employer-Sponsored Health Insurance Premiums. JAMA. 315(1). 18–18. 3 indexed citations
20.
Shao, Di, Jingyan Han, Xiuyun Hou, et al.. (2016). Glutaredoxin-1 Deficiency Causes Fatty Liver and Dyslipidemia by Inhibiting Sirtuin-1. Antioxidants and Redox Signaling. 27(6). 313–327. 50 indexed citations

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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