Frank B. Hu

26.5k total citations · 7 hit papers
41 papers, 5.5k citations indexed

About

Frank B. Hu is a scholar working on Public Health, Environmental and Occupational Health, Pharmacology and Epidemiology. According to data from OpenAlex, Frank B. Hu has authored 41 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Public Health, Environmental and Occupational Health, 11 papers in Pharmacology and 10 papers in Epidemiology. Recurrent topics in Frank B. Hu's work include Obesity, Physical Activity, Diet (13 papers), Nutritional Studies and Diet (11 papers) and Coffee research and impacts (10 papers). Frank B. Hu is often cited by papers focused on Obesity, Physical Activity, Diet (13 papers), Nutritional Studies and Diet (11 papers) and Coffee research and impacts (10 papers). Frank B. Hu collaborates with scholars based in United States, China and Singapore. Frank B. Hu's co-authors include Rob M. van Dam, Walter C. Willett, JoAnn E. Manson, Ming Ding, Shilpa N Bhupathiraju, Mara McAdams‐DeMarco, Eric B. Rimm, David J. Hunter, Bess Dawson‐Hughes and Tricia Li and has published in prestigious journals such as New England Journal of Medicine, JAMA and Circulation.

In The Last Decade

Frank B. Hu

39 papers receiving 5.3k citations

Hit Papers

Vitamin D and Calcium Intake in Relation to Type 2 Diabet... 2005 2026 2012 2019 2006 2005 2013 2012 2014 200 400 600
What are hit papers?

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.

  1. Vitamin D and Calcium Intake in Relation to Type 2 Diabetes in Women
    2006 616 citations Rob M. van Dam, Walter C. Willett et al. Diabetes Care profile →
  2. Coffee Consumption and Risk of Type 2 Diabetes
    2005 508 citations Rob M. van Dam, Frank B. Hu JAMA profile →
  3. Long-Term Coffee Consumption and Risk of Cardiovascular Disease
    2013 389 citations Ming Ding, Shilpa N Bhupathiraju et al. profile →
  4. Sugar-Sweetened Beverages and Genetic Risk of Obesity
    2012 380 citations Majken K. Jensen, Gary C. Curhan et al. profile →
  5. Caffeinated and Decaffeinated Coffee Consumption and Risk of Type 2 Diabetes: A Systematic Review and a Dose-Response Meta-analysis
    2014 365 citations Ming Ding, Shilpa N Bhupathiraju et al. Diabetes Care profile →
  6. Coffee, Caffeine, and Health
    2020 307 citations Rob M. van Dam, Frank B. Hu et al. profile →
  7. Effect of green-Mediterranean diet on intrahepatic fat: the DIRECT PLUS randomised controlled trial
    2021 171 citations Anat Yaskolka Meir, Gal Tsaban et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Frank B. Hu United States 29 1.8k 1.5k 1.4k 992 759 41 5.5k
Justyna Godos Italy 47 3.1k 1.7× 780 0.5× 2.0k 1.5× 767 0.8× 853 1.1× 132 7.2k
Ahmed El‐Sohemy Canada 45 1.3k 0.7× 990 0.7× 1.0k 0.8× 583 0.6× 1.6k 2.2× 191 6.4k
Alessandra Tavani Italy 54 2.2k 1.2× 1.0k 0.7× 1.4k 1.0× 1.2k 1.2× 749 1.0× 235 9.3k
Rosanna Abbate Italy 51 1.2k 0.6× 714 0.5× 1.1k 0.8× 371 0.4× 560 0.7× 255 10.7k
Tomi‐Pekka Tuomainen Finland 50 1.5k 0.8× 482 0.3× 1.4k 1.0× 951 1.0× 2.0k 2.7× 201 8.9k
Éilis J. O’Reilly United States 42 1.7k 0.9× 309 0.2× 1.5k 1.1× 1.6k 1.6× 1.3k 1.7× 101 8.0k
Hermann Toplak Austria 34 1.2k 0.7× 1.2k 0.8× 3.0k 2.2× 266 0.3× 352 0.5× 127 7.4k
Silvio Buscemi Italy 36 1.4k 0.7× 630 0.4× 1.2k 0.9× 273 0.3× 500 0.7× 111 4.2k
David E. Laaksonen Finland 55 2.2k 1.2× 1.2k 0.8× 3.3k 2.4× 639 0.6× 1.4k 1.9× 147 11.0k
Shinkan Tokudome Japan 49 1.6k 0.9× 270 0.2× 980 0.7× 1.3k 1.3× 1.1k 1.4× 226 7.7k

Countries citing papers authored by Frank B. Hu

Since Specialization
Citations

This map shows the geographic impact of Frank B. Hu'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 Frank B. Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frank B. Hu more than expected).

Fields of papers citing papers by Frank B. Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frank B. Hu. 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 Frank B. Hu. The network helps show where Frank B. Hu may publish in the future.

Co-authorship network of co-authors of Frank B. Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Frank B. Hu. A scholar is included among the top collaborators of Frank B. Hu 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 Frank B. Hu. Frank B. Hu 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.
Tong, Tammy Y. N., Yanping Li, Kathryn M. Rexrode, et al.. (2025). Dietary Amino Acids and Risk of Stroke Subtypes: Results from 3 Large Prospective Cohort Studies. Journal of Nutrition. 155(5). 1560–1569.
2.
3.
Hu, Jie, Anat Yaskolka Meir, Xiumei Hong, et al.. (2024). Epigenetic Clock at Birth and Childhood Blood Pressure Trajectory: A Prospective Birth Cohort Study. Hypertension. 81(10). e113–e124. 3 indexed citations
4.
Tsaban, Gal, Hila Zelicha, Anat Yaskolka Meir, et al.. (2024). The effect of Mankai plant consumption on postprandial glycaemic response among patients with type 2 diabetes: A randomized crossover trial. Diabetes Obesity and Metabolism. 26(10). 4713–4723. 3 indexed citations
5.
Renström, Frida, Robert W. Koivula, Tibor V. Varga, et al.. (2015). Season-dependent associations of circadian rhythm-regulating loci (CRY1, CRY2 and MTNR1B) and glucose homeostasis: the GLACIER Study. Diabetologia. 58(5). 997–1005. 28 indexed citations
6.
Ding, Ming, Shilpa N Bhupathiraju, Mu Chen, Rob M. van Dam, & Frank B. Hu. (2014). Caffeinated and Decaffeinated Coffee Consumption and Risk of Type 2 Diabetes: A Systematic Review and a Dose-Response Meta-analysis. Diabetes Care. 37(2). 569–586. 365 indexed citations breakdown →
7.
Bhupathiraju, Shilpa N, An Pan, Vasanti Malik, et al.. (2012). Caffeinated and caffeine-free beverages and risk of type 2 diabetes. American Journal of Clinical Nutrition. 97(1). 155–166. 173 indexed citations
8.
Nan, Hongmei, Mousheng Xu, Jiangwen Zhang, et al.. (2011). Genome-wide association study identifies nidogen 1 ( NID1 ) as a susceptibility locus to cutaneous nevi and melanoma risk. Human Molecular Genetics. 20(13). 2673–2679. 34 indexed citations
9.
López‐García, Esther, Fernando Rodríguez‐Artalejo, Tricia Y. Li, et al.. (2011). Coffee consumption and mortality in women with cardiovascular disease. American Journal of Clinical Nutrition. 94(1). 218–224. 28 indexed citations
10.
Qi, Lu, Marilyn C. Cornelis, Peter Kraft, et al.. (2010). Genetic variants in ABO blood group region, plasma soluble E-selectin levels and risk of type 2 diabetes. Human Molecular Genetics. 19(9). 1856–1862. 119 indexed citations
11.
Sun, Qi, Marilyn C. Cornelis, Peter Kraft, et al.. (2010). Genome-wide association study identifies polymorphisms in LEPR as determinants of plasma soluble leptin receptor levels. Human Molecular Genetics. 19(9). 1846–1855. 65 indexed citations
12.
Sun, Qi, Rob M. van Dam, Donna Spiegelman, et al.. (2010). Comparison of Dual-Energy X-Ray Absorptiometric and Anthropometric Measures of Adiposity in Relation to Adiposity-Related Biologic Factors. American Journal of Epidemiology. 172(12). 1442–1454. 154 indexed citations
13.
Han, Jiali, Peter Kraft, Hongmei Nan, et al.. (2008). A Genome-Wide Association Study Identifies Novel Alleles Associated with Hair Color and Skin Pigmentation. PLoS Genetics. 4(5). e1000074–e1000074. 343 indexed citations
14.
Heijden, Amber A. van der, Frank B. Hu, Eric B. Rimm, & Rob M. van Dam. (2007). A Prospective Study of Breakfast Consumption and Weight Gain among U.S. Men. Obesity. 15(10). 2463–2469. 191 indexed citations
15.
Qi, Lu, Rob M. van Dam, James B. Meigs, et al.. (2006). Genetic variation in IL6 gene and type 2 diabetes: tagging-SNP haplotype analysis in large-scale case–control study and meta-analysis. Human Molecular Genetics. 15(11). 1914–1920. 96 indexed citations
16.
López‐García, Esther, Rob M. van Dam, Lu Qi, & Frank B. Hu. (2006). Coffee consumption and markers of inflammation and endothelial dysfunction in healthy and diabetic women. American Journal of Clinical Nutrition. 84(4). 888–893. 193 indexed citations
17.
López‐García, Esther, Rob M. van Dam, Swapnil Rajpathak, et al.. (2006). Changes in caffeine intake and long-term weight change in men and women. American Journal of Clinical Nutrition. 83(3). 674–680. 156 indexed citations
18.
Dam, Rob M. van & Frank B. Hu. (2005). Coffee Consumption and Risk of Type 2 Diabetes. JAMA. 294(1). 97–97. 508 indexed citations breakdown →
19.
Kereiakes, Dean J., Mark Midei, James Hermiller, et al.. (1999). Procedural and late outcomes following MULTI-LINK DUET coronary stent deployment. The American Journal of Cardiology. 84(12). 1385–1390. 26 indexed citations
20.
Hu, Frank B. & M. J. Stampfer. (1999). Nut consumption and risk of coronary heart disease: A review of epidemiologic evidence. Current Atherosclerosis Reports. 1(3). 204–209. 131 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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