Fred K. Tabung

7.4k total citations · 6 hit papers
135 papers, 4.6k citations indexed

About

Fred K. Tabung is a scholar working on Public Health, Environmental and Occupational Health, Physiology and Oncology. According to data from OpenAlex, Fred K. Tabung has authored 135 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 99 papers in Public Health, Environmental and Occupational Health, 69 papers in Physiology and 42 papers in Oncology. Recurrent topics in Fred K. Tabung's work include Nutritional Studies and Diet (95 papers), Diet and metabolism studies (46 papers) and Cancer Risks and Factors (21 papers). Fred K. Tabung is often cited by papers focused on Nutritional Studies and Diet (95 papers), Diet and metabolism studies (46 papers) and Cancer Risks and Factors (21 papers). Fred K. Tabung collaborates with scholars based in United States, China and Saudi Arabia. Fred K. Tabung's co-authors include Edward L. Giovannucci, Susan E. Steck, James R. Hébert, Teresa T. Fung, Nitin Shivappa, Frank B. Hu, Stephanie A. Smith‐Warner, Walter C. Willett, Yunsheng Ma and Thomas G. Hurley and has published in prestigious journals such as Circulation, Nature Medicine and Journal of Clinical Oncology.

In The Last Decade

Fred K. Tabung

130 papers receiving 4.5k citations

Hit Papers

A population-based dietary inflammatory index predicts le... 2013 2026 2017 2021 2013 2016 2015 2022 2023 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fred K. Tabung United States 35 2.9k 2.0k 930 650 552 135 4.6k
Elisabet Wirfält Sweden 45 2.8k 1.0× 1.5k 0.8× 643 0.7× 345 0.5× 640 1.2× 93 5.3k
Walter C. Willett United States 14 1.5k 0.5× 1.4k 0.7× 692 0.7× 445 0.7× 313 0.6× 21 4.2k
Traci Mouw United States 22 1.3k 0.5× 1.1k 0.5× 987 1.1× 387 0.6× 379 0.7× 27 4.1k
Robert J. MacInnis Australia 39 1.1k 0.4× 1.3k 0.7× 1.7k 1.8× 505 0.8× 804 1.5× 145 5.2k
Kristine R. Monroe United States 33 1.2k 0.4× 832 0.4× 1.1k 1.2× 434 0.7× 848 1.5× 85 4.0k
Simonetta Salvini Italy 31 3.0k 1.0× 1.2k 0.6× 761 0.8× 469 0.7× 473 0.9× 49 5.8k
F. B. Hu United States 16 1.4k 0.5× 934 0.5× 438 0.5× 318 0.5× 439 0.8× 32 3.2k
Maria Ida Maiorino Italy 48 1.2k 0.4× 1.4k 0.7× 581 0.6× 535 0.8× 1.4k 2.5× 186 7.0k
Monica Ferraroni Italy 39 2.3k 0.8× 856 0.4× 1.4k 1.6× 737 1.1× 562 1.0× 144 5.6k
Song‐Yi Park United States 34 1.3k 0.4× 656 0.3× 772 0.8× 290 0.4× 432 0.8× 110 3.0k

Countries citing papers authored by Fred K. Tabung

Since Specialization
Citations

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

Fields of papers citing papers by Fred K. Tabung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fred K. Tabung. 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 Fred K. Tabung. The network helps show where Fred K. Tabung may publish in the future.

Co-authorship network of co-authors of Fred K. Tabung

This figure shows the co-authorship network connecting the top 25 collaborators of Fred K. Tabung. A scholar is included among the top collaborators of Fred K. Tabung 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 Fred K. Tabung. Fred K. Tabung 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.
Orenduff, Melissa C., Carl F. Pieper, Emma H. Allott, et al.. (2025). Plasma Insulin-like Growth Factor–Binding Protein-7 Is Positively Associated with Age, Obesity, Mortality, and Cancer in Postmenopausal Women. Cancer Epidemiology Biomarkers & Prevention. 34(6). 922–932. 1 indexed citations
2.
Shi, Ni, Rhea Harewood, Amanda E. Toland, et al.. (2025). Insulinemic and inflammatory dietary patterns and colorectal cancer risk: a dietary data harmonization study of one million participants in the Consortium of Metabolomics Studies (COMETS). American Journal of Clinical Nutrition. 123(1). 101099–101099.
3.
Azam, Shadi, Saurabh Deepak Chitnis, Katharine A. Collier, et al.. (2024). Association between Inflammatory Dietary Pattern and Mammographic Features. Journal of Nutrition. 154(11). 3437–3445. 1 indexed citations
4.
Shi, Ni, Cristina Menni, Mary C. Playdon, et al.. (2024). Pro-inflammatory and hyperinsulinaemic dietary patterns are associated with specific gut microbiome profiles: a TwinsUK cohort study. SHILAP Revista de lepidopterología. 5. e12–e12. 2 indexed citations
5.
Hill, Emily B., Alice Hinton, Ni Shi, et al.. (2024). An Improved Assessment Method to Estimate (Poly)phenol Intake in Adults with Chronic Pancreatitis. Digestive Diseases and Sciences. 69(8). 2996–3007. 1 indexed citations
6.
Navarro, Sandi L., Brian D. Williamson, Ying Huang, et al.. (2024). Metabolite Predictors of Breast and Colorectal Cancer Risk in the Women’s Health Initiative. Metabolites. 14(8). 463–463. 5 indexed citations
7.
LaMonte, Michael J., Rachael Hageman Blair, Fred K. Tabung, et al.. (2024). Developing and evaluating the construct validity of a dietary pattern predictive of plasma TMAO and choline. Nutrition Metabolism and Cardiovascular Diseases. 34(9). 2190–2202. 1 indexed citations
8.
Aslani, Zahra, et al.. (2023). Associations of Dietary Patterns with Colorectal Adenomas in the Prostate, Lung, Colorectal, and Ovarian Cancer Cohort. Cancer Epidemiology Biomarkers & Prevention. 32(9). 1260–1264. 2 indexed citations
9.
Navarro, Sandi L., G. A. Nagana Gowda, Lisa Bettcher, et al.. (2023). Demographic, Health and Lifestyle Factors Associated with the Metabolome in Older Women. Metabolites. 13(4). 514–514. 8 indexed citations
10.
Long, Lu, Xing Liu, Jessica L. Petrick, et al.. (2023). Dietary inflammatory and insulinemic potential, risk of hepatocellular carcinoma, and chronic liver disease mortality. JNCI Cancer Spectrum. 7(2). 10 indexed citations
11.
Langlais, Crystal S., Rebecca E. Graff, Erin L. Van Blarigan, et al.. (2022). Postdiagnostic Inflammatory, Hyperinsulinemic, and Insulin-Resistant Diets and Lifestyles and the Risk of Prostate Cancer Progression and Mortality. Cancer Epidemiology Biomarkers & Prevention. 31(9). 1760–1768. 15 indexed citations
12.
Zhang, Zhenzhen, Fred K. Tabung, Qi Jin, et al.. (2022). Diet-Driven Inflammation and Insulinemia and Risk of Interval Breast Cancer. Nutrition and Cancer. 74(9). 3179–3193. 4 indexed citations
13.
Peila, Rita, Rowan T. Chlebowski, JoAnn E. Manson, et al.. (2021). Low-Fat Dietary Modification and Risk of Ductal Carcinoma In Situ of the Breast in the Women's Health Initiative Dietary Modification Trial. Cancer Epidemiology Biomarkers & Prevention. 30(9). 1753–1756. 4 indexed citations
14.
Lee, Dong Hoon, Leandro F. M. Rezende, Gérson Ferrari, et al.. (2021). Physical activity and all-cause and cause-specific mortality: assessing the impact of reverse causation and measurement error in two large prospective cohorts. European Journal of Epidemiology. 36(3). 275–285. 36 indexed citations
15.
Aroke, Desmond, Edmund Folefac, Ni Shi, et al.. (2020). Inflammatory and Insulinemic Dietary Patterns: Influence on Circulating Biomarkers and Prostate Cancer Risk. Cancer Prevention Research. 13(10). 841–852. 25 indexed citations
16.
Chandler, Paulette D., Raji Balasubramanian, Nina P. Paynter, et al.. (2020). Metabolic signatures associated with Western and Prudent dietary patterns in women. American Journal of Clinical Nutrition. 112(2). 268–283. 19 indexed citations
17.
Katagiri, Ryoko, Mingyang Song, Xuehong Zhang, et al.. (2019). Dietary Intake of Branched-Chain Amino Acids and Risk of Colorectal Cancer. Cancer Prevention Research. 13(1). 65–72. 17 indexed citations
18.
Lee, Dong Hoon, Teresa T. Fung, Fred K. Tabung, et al.. (2019). Dietary Pattern and Risk of Multiple Myeloma in Two Large Prospective US Cohort Studies. JNCI Cancer Spectrum. 3(2). pkz025–pkz025. 39 indexed citations
19.
Petimar, Joshua, Stephanie A. Smith‐Warner, Teresa T. Fung, et al.. (2018). Recommendation-based dietary indexes and risk of colorectal cancer in the Nurses’ Health Study and Health Professionals Follow-up Study. American Journal of Clinical Nutrition. 108(5). 1092–1103. 54 indexed citations
20.
Tabung, Fred K., Ambika Satija, Teresa T. Fung, Steven K. Clinton, & Edward L. Giovannucci. (2018). Long-Term Change in both Dietary Insulinemic and Inflammatory Potential Is Associated with Weight Gain in Adult Women and Men. Journal of Nutrition. 149(5). 804–815. 55 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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