Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Dietary Linoleic Acid and Risk of Coronary Heart Disease: A Systematic Review and Meta-Analysis of Prospective Cohort Studies
2014389 citationsMaryam S. Farvid, Walter C. Willett et al.profile →
Consumption of red meat and processed meat and cancer incidence: a systematic review and meta-analysis of prospective studies
2021266 citationsMaryam S. Farvid, Bernard Rosner et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Maryam S. Farvid
Since
Specialization
Citations
This map shows the geographic impact of Maryam S. Farvid'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 Maryam S. Farvid with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maryam S. Farvid more than expected).
Fields of papers citing papers by Maryam S. Farvid
This network shows the impact of papers produced by Maryam S. Farvid. 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 Maryam S. Farvid. The network helps show where Maryam S. Farvid may publish in the future.
Co-authorship network of co-authors of Maryam S. Farvid
This figure shows the co-authorship network connecting the top 25 collaborators of Maryam S. Farvid.
A scholar is included among the top collaborators of Maryam S. Farvid 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 Maryam S. Farvid. Maryam S. Farvid is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Farvid, Maryam S., Eunyoung Cho, A. Heather Eliassen, Wendy Y. Chen, & Walter C. Willett. (2016). Lifetime grain consumption and breast cancer risk. Breast Cancer Research and Treatment. 159(2). 335–345.35 indexed citations
12.
Farvid, Maryam S., et al.. (2015). Association of Self-efficacy and Decisional Balance with Stages of Change for Fiber Intake and Glycemic Control in Patients with Type 2 Diabetes. SHILAP Revista de lepidopterología. 2(4). 11–20.2 indexed citations
13.
Farvid, Maryam S., et al.. (2014). Relationship of Glycemic Control and Stages of Change for Fiber Intake in Type 2 Diabetic Patients: A Cross-sectional Study. SHILAP Revista de lepidopterología.2 indexed citations
Farvid, Maryam S., et al.. (2012). ASSOCIATION BETWEEN HEALTH-RELATED QUALITY OF LIFE AND GLYCEMIC CONTROL IN TYPE 2 DIABETICS. Majallah-i ghudad-i darūn/rīz va mitābulīsm-i Īrān./Majallah-i ghudad-i darūn/rīz va mitābulīsm-i Īrān.. 14(464). 318–324.6 indexed citations
16.
Farvid, Maryam S., et al.. (2011). Effects of Dietary Pattern on Day to Day Activities in Multiple Sclerosis Patients. SHILAP Revista de lepidopterología.1 indexed citations
17.
Farvid, Maryam S., et al.. (2010). Determinants of fruit and vegetable consumption in type 2 diabetics in Tehran.. Majallah-i ghudad-i darūn/rīz va mitābulīsm-i Īrān./Majallah-i ghudad-i darūn/rīz va mitābulīsm-i Īrān.. 12(2). 89–98.6 indexed citations
18.
Farvid, Maryam S., et al.. (2006). ADIPOCYTOKINES AND VLDL METABOLISM INDEPENDENT REGULATORY EFFECTS OF ADIPONECTIN, INSULIN RESISTANCE, AND FAT COMPARTMENTS ON VLDL APOLIPOPROTEIN B-100 KINETICS?. Iranian Journal of Diabetes and Metabolism. 5(3). 217–225.3 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.