Monica Williams
- Physiology top 2%
- Public Health, Environmental and Occupational Health top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Cell Biology top 10%
- Molecular Biology
- Co-authors
- Frederick F. SamahaNayyar IqbalEdward J. GracelyLinda SternPrakash SeshadriTerrence T. WilliamsDaniel J. RaderPhilippe Szapary
- Topics
- Diet and metabolism studies (3 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers)Nutritional Studies and Diet (2 papers)
- Cited by
- PhysiologyEndocrinology, Diabetes and MetabolismPublic Health, Environmental and Occupational Health
- Journals
- New England Journal of MedicineThe American Journal of MedicineArteriosclerosis Thrombosis and Vascular Biology
- Partner nations
- United StatesIranChina
In The Last Decade
Monica Williams
5 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 77
- Physiology 976
- Public Health, Environmental and Occupational Health 493
- Endocrinology, Diabetes and Metabolism 489
- Cell Biology 208
- Molecular Biology 153
Countries citing papers authored by Monica Williams
This map shows the geographic impact of Monica Williams'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 Monica Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Monica Williams more than expected).
Fields of papers citing papers by Monica Williams
This network shows the impact of papers produced by Monica Williams. 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 Monica Williams. The network helps show where Monica Williams may publish in the future.
Co-authorship network of co-authors of Monica Williams
This figure shows the co-authorship network connecting the top 25 collaborators of Monica Williams. A scholar is included among the top collaborators of Monica Williams 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 Monica Williams. Monica Williams is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 3 | |
| 3 | 107 | |
| 4 | 130 | |
| 5 | A Low-Carbohydrate as Compared with a Low-Fat Diet in Severe Obesitybreakdown → | 921 |
About Monica Williams
Monica Williams is a scholar working on Forestry, Endocrinology, Diabetes and Metabolism and Physiology, having authored 5 papers that have together received 1.2k indexed citations. Recurring topics across this work include Diet and metabolism studies (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers) and Nutritional Studies and Diet (2 papers). The work is most often cited by research in Physiology (976 citations), Endocrinology, Diabetes and Metabolism (489 citations) and Public Health, Environmental and Occupational Health (493 citations). Monica Williams has collaborated with scholars based in United States, Iran and China. Frequent co-authors include Frederick F. Samaha, Nayyar Iqbal, Edward J. Gracely, Linda Stern, Prakash Seshadri, Terrence T. Williams, Daniel J. Rader, Philippe Szapary, LeAnne T. Bloedon and Nayyar Iqbal. Their work appears in journals such as New England Journal of Medicine, The American Journal of Medicine and Arteriosclerosis Thrombosis and Vascular Biology.
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.