Michelle T. Long
- Epidemiology top 1%
- Endocrinology, Diabetes and Metabolism top 1%
- Hepatology top 1%
- Physiology top 5%
- Molecular Biology
- Co-authors
- Joseph M. MassaroUdo HoffmannAlison PedleyEmelia J. BenjaminJoseph K. LimMazen NoureddinDaniel LevyRamachandran S. Vasan
- Topics
- Liver Disease Diagnosis and Treatment (64 papers)Liver Disease and Transplantation (24 papers)Diet, Metabolism, and Disease (22 papers)
- Journals
- New England Journal of MedicineJAMASHILAP Revista de lepidopterología
- Partner nations
- United StatesDenmarkCanada
In The Last Decade
Michelle T. Long
106 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Epidemiology 1.8k
- Endocrinology, Diabetes and Metabolism 897
- Hepatology 599
- Physiology 569
- Molecular Biology 506
Countries citing papers authored by Michelle T. Long
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | AGA Clinical Practice Update: Diagnosis and Management of Nonalcoholic Fatty Liver Disease in Lean Individuals: Expert Reviewbreakdown → | 178 |
| 10 | 5 | |
| 11 | 16 | |
| 12 | 63 | |
| 13 | 2 | |
| 14 | 77 | |
| 15 | 56 | |
| 16 | 139 | |
| 17 | 8 | |
| 18 | 23 | |
| 19 | 3 | |
| 20 | 50 |
About Michelle T. Long
Michelle T. Long is a scholar working on Hepatology, Epidemiology and Endocrinology, Diabetes and Metabolism, having authored 111 papers that have together received 3.1k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (64 papers), Liver Disease and Transplantation (24 papers) and Diet, Metabolism, and Disease (22 papers). The work is most often cited by research in Hepatology (599 citations), Endocrinology, Diabetes and Metabolism (897 citations) and Epidemiology (1.8k citations). Michelle T. Long has collaborated with scholars based in United States, Denmark and Canada. Frequent 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. Their work appears in journals such as New England Journal of Medicine, JAMA and SHILAP Revista de lepidopterología.
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.