Paul W. Franks

91.4k total citations · 7 hit papers
324 papers, 16.4k citations indexed

About

Paul W. Franks is a scholar working on Genetics, Physiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Paul W. Franks has authored 324 papers receiving a total of 16.4k indexed citations (citations by other indexed papers that have themselves been cited), including 112 papers in Genetics, 106 papers in Physiology and 76 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Paul W. Franks's work include Genetic Associations and Epidemiology (69 papers), Obesity, Physical Activity, Diet (58 papers) and Adipose Tissue and Metabolism (38 papers). Paul W. Franks is often cited by papers focused on Genetic Associations and Epidemiology (69 papers), Obesity, Physical Activity, Diet (58 papers) and Adipose Tissue and Metabolism (38 papers). Paul W. Franks collaborates with scholars based in Sweden, United States and United Kingdom. Paul W. Franks's co-authors include Søren Brage, Nicholas J. Wareham, Ulf Ekelund, Graham D. Farquhar, William C. Knowler, Robert L. Hanson, Karsten Froberg, Lars Bo Andersen, Helen C. Looker and José C. Florez and has published in prestigious journals such as Science, New England Journal of Medicine and The Lancet.

In The Last Decade

Paul W. Franks

312 papers receiving 15.9k citations

Hit Papers

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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.

Childhood Obesity, Other Cardiovascular Risk Factors, and Premature Death

2010 1.0k citations Paul W. Franks, William C. Knowler et al. profile →
Separating Movement and Gravity Components in an Acceleration Signal and Implications for the Assessment of Human Daily Physical Activity

2013 616 citations Frida Renström, Paul W. Franks et al. profile →
Energy balance and obesity: what are the main drivers?

2017 534 citations Paul W. Franks et al. profile →
Reliability and validity of the combined heart rate and movement sensor Actiheart

2005 513 citations Paul W. Franks et al. profile →
The Mechanical Diversity of Stomata and Its Significance in Gas-Exchange Control

2006 506 citations Paul W. Franks et al. profile →
Aberrant intestinal microbiota in individuals with prediabetes

2018 339 citations Paul W. Franks et al. Diabetologia profile →
Precision Medicine in Diabetes: A Consensus Report From the American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD)

2020 224 citations José C. Florez, Andrew T. Hattersley et al. Diabetes Care profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Paul W. Franks Sweden	67	5.6k	5.0k	2.9k	2.8k	2.8k	324	16.4k
John C. Mathers United Kingdom	76	5.8k 1.0×	5.7k 1.1×	2.1k 0.7×	4.7k 1.7×	2.3k 0.9×	496	20.9k
Lu Qi United States	73	5.7k 1.0×	5.1k 1.0×	2.5k 0.8×	3.6k 1.3×	3.2k 1.2×	574	19.8k
Anthony G. Comuzzie United States	52	5.1k 0.9×	2.9k 0.6×	2.6k 0.9×	3.1k 1.1×	3.0k 1.1×	270	16.0k
Heiner Boeing Germany	77	5.3k 0.9×	7.1k 1.4×	2.9k 1.0×	3.8k 1.3×	1.9k 0.7×	332	20.3k
Ruth J. F. Loos United States	64	6.0k 1.1×	4.8k 1.0×	1.5k 0.5×	3.6k 1.3×	5.0k 1.8×	287	18.2k
Naomi E. Allen United Kingdom	50	3.8k 0.7×	4.2k 0.8×	1.9k 0.7×	3.7k 1.3×	5.8k 2.1×	134	23.0k
Stefania Bandinelli Italy	88	10.3k 1.8×	3.3k 0.7×	2.4k 0.8×	4.4k 1.6×	1.6k 0.6×	390	29.1k
Louis Përusse Canada	71	7.1k 1.3×	3.9k 0.8×	2.5k 0.9×	3.1k 1.1×	6.1k 2.2×	354	18.4k
Wieland Kieß Germany	60	3.7k 0.7×	2.7k 0.5×	3.6k 1.2×	3.2k 1.1×	1.8k 0.6×	613	17.0k
Jean Wactawski‐Wende United States	77	2.9k 0.5×	4.0k 0.8×	3.8k 1.3×	2.7k 0.9×	4.5k 1.6×	467	21.5k

Countries citing papers authored by Paul W. Franks

Since Specialization

Citations

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

Fields of papers citing papers by Paul W. Franks

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul W. Franks. 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 Paul W. Franks. The network helps show where Paul W. Franks may publish in the future.

Co-authorship network of co-authors of Paul W. Franks

This figure shows the co-authorship network connecting the top 25 collaborators of Paul W. Franks. A scholar is included among the top collaborators of Paul W. Franks 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 Paul W. Franks. Paul W. Franks is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Blanch, Jordi, Yenny Leal, Talita Duarte‐Salles, et al.. (2025). BMI-residualized data uncovers a cluster of people with type 2 diabetes and increased serum ferritin protected from cardiovascular disease. Cardiovascular Diabetology. 24(1). 139–139.

Freidin, Maxim B., Nathan J. Cheetham, Emma L. Duncan, et al.. (2023). Long-COVID fatigue is not predicted by pre-pandemic plasma IL-6 levels in mild COVID-19. Inflammation Research. 72(5). 947–953. 5 indexed citations

Brewer, Kelly, Ryan Sisk, Hyejin Lee, et al.. (2023). OR20-02 Trans-Ethnic Analysis Of PCOS Subtype Genomewide Association Signals Reveals 3 Shared Subtype-Specific Loci. Journal of the Endocrine Society. 7(Supplement_1). 1 indexed citations

Johansson, Åsa, Ole A. Andreassen, Søren Brunak, et al.. (2023). Precision medicine in complex diseases—Molecular subgrouping for improved prediction and treatment stratification. Journal of Internal Medicine. 294(4). 378–396. 35 indexed citations

Louca, Panayiotis, Tamara Štambuk, Ana Nogal, et al.. (2023). Plasma protein N-glycome composition associates with postprandial lipaemic response. BMC Medicine. 21(1). 231–231. 1 indexed citations

Huang, Mi, Hamidreza Ardalani, Peter Spégel, et al.. (2023). Identification of a weight loss-associated causal eQTL in MTIF3 and the effects of MTIF3 deficiency on human adipocyte function. eLife. 12. 2 indexed citations

Palacios, Cristina, María Angélica Trak‐Fellermeier, Maribel Campos, et al.. (2021). Associations between vitamin D levels and glucose metabolism markers among pregnant women and their infants in Puerto Rico. Nutrición Hospitalaria. 38(6). 1224–1231. 2 indexed citations

Zaccardi, Francesco, et al.. (2020). Genome-wide association study of self-reported walking pace suggests beneficial effects of brisk walking on health and survival. Communications Biology. 3(1). 634–634. 39 indexed citations

Riddle, Matthew C., Louis H. Philipson, Stephen S. Rich, et al.. (2020). Monogenic Diabetes: From Genetic Insights to Population-Based Precision in Care. Reflections From a Diabetes Care Editors’ Expert Forum. Diabetes Care. 43(12). 3117–3128. 54 indexed citations

10.

Ernst, E., Paul W. Franks, Kate Hardy, Palle Villesen, & Karin Lykke‐Hartmann. (2018). Granulosa cells from human primordial and primary follicles show differential global gene expression profiles. Human Reproduction. 33(4). 666–679. 53 indexed citations

11.

Rockette‐Wagner, Bonny, Kristi L. Storti, Dana Dabelea, et al.. (2016). Activity and Sedentary Time 10 Years After a Successful Lifestyle Intervention: The Diabetes Prevention Program. American Journal of Preventive Medicine. 52(3). 292–299. 17 indexed citations

12.

Boer, Hugo J. de, Charles A. Price, Friederike Wagner‐Cremer, et al.. (2016). Optimal allocation of leaf epidermal area for gas exchange. New Phytologist. 210(4). 1219–1228. 143 indexed citations

13.

McCaffery, Jeanne M., Kathleen A. Jablonski, Paul W. Franks, et al.. (2016). Replication of the Association of BDNF and MC4R Variants With Dietary Intake in the Diabetes Prevention Program. Psychosomatic Medicine. 79(2). 224–233. 9 indexed citations

14.

Klüppelholz, Birgit, Barbara Thorand, Wolfgang Köenig, et al.. (2015). Association of subclinical inflammation with deterioration of glycaemia before the diagnosis of type 2 diabetes: the KORA S4/F4 study. Diabetologia. 58(10). 2269–2277. 32 indexed citations

15.

Franks, Paul W.. (2015). “Nothing Comes from Nothing”. Oxford University Press eBooks.

16.

Renström, Frida, et al.. (2013). Dietary intake assessment in women with different weight and pregnancy status using a short questionnaire. Public Health Nutrition. 17(9). 1939–1948. 9 indexed citations

17.

Toss, Fredrik, Peter Wiklund, Paul W. Franks, et al.. (2011). Abdominal and gynoid adiposity and the risk of stroke. International Journal of Obesity. 35(11). 1427–1432. 26 indexed citations

18.

Franks, Paul W., K. A. Jablonski, Linda M. Delahanty, et al.. (2009). Assessing gene–treatment interactions at the FTO and INSIG2 loci on obesity-related traits in the Diabetes Prevention Program. Diabetologia. 52(7). 1456–1456. 1 indexed citations

19.

Barber, Thomas M., Stephen J. Golding, John Wass, et al.. (2008). Global adiposity rather than abnormal regional fat distribution characterises women with polycystic ovary syndrome. 15. 8 indexed citations

20.

Franks, Paul W.. (2003). Employment mediation in New Zealand. e-publications@bond (Bond University).

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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