Josep M. Mercader

19.8k total citations · 3 hit papers
88 papers, 5.4k citations indexed

About

Josep M. Mercader is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Josep M. Mercader has authored 88 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 32 papers in Genetics and 13 papers in Cancer Research. Recurrent topics in Josep M. Mercader's work include Genetic Associations and Epidemiology (21 papers), MicroRNA in disease regulation (12 papers) and Diabetes and associated disorders (7 papers). Josep M. Mercader is often cited by papers focused on Genetic Associations and Epidemiology (21 papers), MicroRNA in disease regulation (12 papers) and Diabetes and associated disorders (7 papers). Josep M. Mercader collaborates with scholars based in Spain, United States and Denmark. Josep M. Mercader's co-authors include José Manuel Fernández‐Real, Xavier Estivill, Wifredo Ricart, Juan R. González, Francisco Ortega, José María Moreno‐Navarrete, Lluı́s Armengol, David Torrents, Vı́ctor Moreno and Xavier Solé and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Medicine.

In The Last Decade

Josep M. Mercader

82 papers receiving 5.3k citations

Hit Papers

align trajectories

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.

Metformin alters the gut microbiome of individuals with treatment-naive type 2 diabetes, contributing to the therapeutic effects of the drug

2017 1.2k citations Josep M. Mercader, David Torrents et al. Nature Medicine profile →
SNPassoc: an R package to perform whole genome association studies

2007 630 citations Juan R. González, Lluı́s Armengol et al. Bioinformatics profile →
Type 2 diabetes genetic loci informed by multi-trait associations point to disease mechanisms and subtypes: A soft clustering analysis

2018 305 citations Miriam S. Udler, Jaegil Kim et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Josep M. Mercader Spain	31	2.5k	1.0k	1.0k	860	625	88	5.4k
Nathaniel W. Snyder United States	42	3.9k 1.6×	1.1k 1.1×	1.3k 1.2×	634 0.7×	888 1.4×	140	7.7k
Susan A. Berry United States	42	3.0k 1.2×	1.0k 1.0×	416 0.4×	1.4k 1.6×	377 0.6×	208	6.8k
Babak Baban United States	47	2.1k 0.9×	692 0.7×	439 0.4×	347 0.4×	691 1.1×	167	9.0k
Norman Klopp Germany	37	2.1k 0.9×	1.1k 1.1×	722 0.7×	804 0.9×	454 0.7×	97	5.7k
Andrew N. Margioris Greece	48	1.8k 0.7×	941 0.9×	690 0.7×	505 0.6×	715 1.1×	145	7.5k
Pascal Reynier France	55	6.3k 2.5×	1.2k 1.2×	510 0.5×	574 0.7×	665 1.1×	301	10.5k
Molly S. Bray United States	50	2.1k 0.9×	2.5k 2.4×	480 0.5×	1.7k 2.0×	595 1.0×	139	8.1k
Serena Sanna Italy	25	2.7k 1.1×	859 0.8×	263 0.3×	1.8k 2.1×	483 0.8×	45	5.6k
Joanne E. Curran United States	40	2.3k 0.9×	809 0.8×	411 0.4×	1.5k 1.8×	878 1.4×	197	5.8k
Annibale Alessandro Puca Italy	38	2.2k 0.9×	1.2k 1.1×	303 0.3×	627 0.7×	307 0.5×	127	5.1k

Countries citing papers authored by Josep M. Mercader

Since Specialization

Citations

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

Fields of papers citing papers by Josep M. Mercader

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Josep M. Mercader. 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 Josep M. Mercader. The network helps show where Josep M. Mercader may publish in the future.

Co-authorship network of co-authors of Josep M. Mercader

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Arruda, Ana Luiza, Ozvan Bocher, Henry J. Taylor, et al.. (2025). The effect of type 2 diabetes genetic predisposition on non-cardiovascular comorbidities. Nature Communications. 16(1). 9042–9042.

Smith, Kirk, Aaron J. Deutsch, Sarah Hsu, et al.. (2024). Multi-ancestry polygenic mechanisms of type 2 diabetes. Nature Medicine. 30(4). 1065–1074. 39 indexed citations

Mercader, Josep M., Amy K. Mottl, Rachelle Gandica, et al.. (2024). Genetic architecture and biology of youth-onset type 2 diabetes. UNC Libraries.

Mandla, Ravi, Philip Schroeder, Bianca Porneala, et al.. (2024). Polygenic scores for longitudinal prediction of incident type 2 diabetes in an ancestrally and medically diverse primary care physician network: a patient cohort study. Genome Medicine. 16(1). 63–63. 4 indexed citations

Kwak, Soo Heon, Shylaja Srinivasan, Ling Chen, et al.. (2024). Genetic architecture and biology of youth-onset type 2 diabetes. Nature Metabolism. 6(2). 226–237. 16 indexed citations

Mandla, Ravi, Philip Schroeder, José C. Florez, Josep M. Mercader, & Aaron Leong. (2024). Hemoglobin A1c Genetics and Disparities in Risk of Diabetic Retinopathy in Individuals of Genetically Inferred African American/African British and European Ancestries. Diabetes Care. 47(10). 1731–1739. 1 indexed citations

Cromer, Sara J., Josep M. Mercader, Timothy D. Majarian, et al.. (2023). Association and Interaction of Genetics and Area-Level Socioeconomic Factors on the Prevalence of Type 2 Diabetes and Obesity. Diabetes Care. 46(5). 944–952. 9 indexed citations

Deutsch, Aaron J., Timothy D. Majarian, Josep M. Mercader, et al.. (2023). Polygenic Scores Help Reduce Racial Disparities in Predictive Accuracy of Automated Type 1 Diabetes Classification Algorithms. Diabetes Care. 46(4). 794–800. 7 indexed citations

Westerman, Kenneth E., Kirk Smith, Joshua Chiou, et al.. (2022). High-throughput genetic clustering of type 2 diabetes loci reveals heterogeneous mechanistic pathways of metabolic disease. Diabetologia. 66(3). 495–507. 31 indexed citations

10.

González, Juan R., Juan R. González, Carlos Ruiz-Arenas, et al.. (2020). Polymorphic Inversions Underlie the Shared Genetic Susceptibility of Obesity-Related Diseases. The American Journal of Human Genetics. 106(6). 846–858. 12 indexed citations

11.

Wenzel, Dawn M., Marta Guindo-Martínez, Steven L. Alam, et al.. (2018). A cancer-associated polymorphism in ESCRT-III disrupts the abscission checkpoint and promotes genome instability. Proceedings of the National Academy of Sciences. 115(38). E8900–E8908. 51 indexed citations

12.

Latorre, Jèssica, José María Moreno‐Navarrete, Josep M. Mercader, et al.. (2017). Decreased lipid metabolism but increased FA biosynthesis are coupled with changes in liver microRNAs in obese subjects with NAFLD. International Journal of Obesity. 41(4). 620–630. 98 indexed citations

13.

Djebali, Sarah, Santiago González, Oscar Flores, et al.. (2013). Unravelling the hidden DNA structural/physical code provides novel insights on promoter location. Nucleic Acids Research. 41(15). 7220–7230. 10 indexed citations

14.

Pueyo, Neus, Francisco Ortega, Josep M. Mercader, et al.. (2013). Common Genetic Variants of Surfactant Protein-D (SP-D) Are Associated with Type 2 Diabetes. PLoS ONE. 8(4). e60468–e60468. 13 indexed citations

15.

Fernández‐Real, José Manuel, Josep M. Mercader, Francisco Ortega, et al.. (2010). Transferrin receptor‐1 gene polymorphisms are associated with type 2 diabetes. European Journal of Clinical Investigation. 40(7). 600–607. 27 indexed citations

16.

Bartrés‐Faz, David, Josep M. Serra‐Grabulosa, Felice T. Sun, et al.. (2007). Functional connectivity of the hippocampus in elderly with mild memory dysfunction carrying the APOE ɛ4 allele. Neurobiology of Aging. 29(11). 1644–1653. 18 indexed citations

17.

González, Juan R., Lluı́s Armengol, Xavier Solé, et al.. (2007). SNPassoc: an R package to perform whole genome association studies. Bioinformatics. 23(5). 654–655. 630 indexed citations breakdown →

18.

Gratacòs, Mónica, Juan R. González, Josep M. Mercader, et al.. (2007). Brain-Derived Neurotrophic Factor Val66Met and Psychiatric Disorders: Meta-Analysis of Case-Control Studies Confirm Association to Substance-Related Disorders, Eating Disorders, and Schizophrenia. Biological Psychiatry. 61(7). 911–922. 335 indexed citations

19.

Mercader, Josep M., et al.. (2002). [Segmental Caroli's disease].. PubMed. 94(8). 504–5. 1 indexed citations

20.

Bartrés‐Faz, David, Carme Junqué, Imma C. Clemente, et al.. (2001). MRI and genetic correlates of cognitive function in elders with memory impairment. Neurobiology of Aging. 22(3). 449–459. 43 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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