Daiane Hemerich

880 total citations
9 papers, 172 citations indexed

About

Daiane Hemerich is a scholar working on Molecular Biology, Genetics and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Daiane Hemerich has authored 9 papers receiving a total of 172 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Genetics and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Daiane Hemerich's work include Genetic Associations and Epidemiology (6 papers), RNA modifications and cancer (2 papers) and Cardiovascular Disease and Adiposity (2 papers). Daiane Hemerich is often cited by papers focused on Genetic Associations and Epidemiology (6 papers), RNA modifications and cancer (2 papers) and Cardiovascular Disease and Adiposity (2 papers). Daiane Hemerich collaborates with scholars based in Netherlands, United Kingdom and United States. Daiane Hemerich's co-authors include Marcia de Almeida Monteiro Melo Ferraz, Bart M. Gadella, Helena T. A. van Tol, U. Besenfelder, Michal Mokrý, Hoon Suk Rho, Tom A. E. Stout, Heiko Henning, Séverine Le Gac and Michael Hölker and has published in prestigious journals such as Nature Medicine, Nature Communications and Scientific Reports.

In The Last Decade

Daiane Hemerich

9 papers receiving 170 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daiane Hemerich Netherlands 5 71 53 39 37 30 9 172
Jennifer E. Rowley United States 5 143 2.0× 55 1.0× 17 0.4× 18 0.5× 45 1.5× 8 254
Emma Stephenson United Kingdom 7 41 0.6× 206 3.9× 50 1.3× 25 0.7× 6 0.2× 25 268
Takamasa Iwaki Japan 7 145 2.0× 124 2.3× 34 0.9× 67 1.8× 8 0.3× 14 287
Asma Aberkane Belgium 6 98 1.4× 256 4.8× 43 1.1× 25 0.7× 87 2.9× 8 378
Giovanni Sestini Austria 6 81 1.1× 304 5.7× 54 1.4× 26 0.7× 57 1.9× 8 402
Alexandre Bruneau France 3 127 1.8× 372 7.0× 45 1.2× 48 1.3× 63 2.1× 3 480
Sophie Loubersac France 5 150 2.1× 376 7.1× 45 1.2× 52 1.4× 63 2.1× 12 506
Yvonne Scholte op Reimer Austria 5 81 1.1× 282 5.3× 54 1.4× 24 0.6× 57 1.9× 7 373
Yoo Bin Choi South Korea 9 151 2.1× 212 4.0× 7 0.2× 37 1.0× 102 3.4× 17 331
Shelly A. Christman United States 11 20 0.3× 76 1.4× 12 0.3× 61 1.6× 10 0.3× 13 471

Countries citing papers authored by Daiane Hemerich

Since Specialization
Citations

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

Fields of papers citing papers by Daiane Hemerich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daiane Hemerich. 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 Daiane Hemerich. The network helps show where Daiane Hemerich may publish in the future.

Co-authorship network of co-authors of Daiane Hemerich

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

All Works

9 of 9 papers shown
1.
Chami, Nathalie, Zhe Wang, Daiane Hemerich, et al.. (2025). Genetic subtyping of obesity reveals biological insights into the uncoupling of adiposity from its cardiometabolic comorbidities. Nature Medicine. 31(11). 3801–3812. 2 indexed citations
2.
Hemerich, Daiane, et al.. (2024). An integrative framework to prioritize genes in more than 500 loci associated with body mass index. The American Journal of Human Genetics. 111(6). 1035–1046. 10 indexed citations
3.
Hemerich, Daiane, Roelof A. J. Smit, Michael Preuß, et al.. (2023). Effect of tissue-grouped regulatory variants associated to type 2 diabetes in related secondary outcomes. Scientific Reports. 13(1). 3579–3579. 3 indexed citations
4.
Manduchi, Elisabetta, Daiane Hemerich, Jessica van Setten, et al.. (2019). A comparison of two workflows for regulome and transcriptome‐based prioritization of genetic variants associated with myocardial mass. Genetic Epidemiology. 43(6). 717–726. 1 indexed citations
5.
Hemerich, Daiane, Jiayi Pei, Magdaléna Harakaľová, et al.. (2019). Integrative Functional Annotation of 52 Genetic Loci Influencing Myocardial Mass Identifies Candidate Regulatory Variants and Target Genes. Circulation Genomic and Precision Medicine. 12(2). e002328–e002328. 6 indexed citations
6.
Ferraz, Marcia de Almeida Monteiro Melo, Hoon Suk Rho, Daiane Hemerich, et al.. (2018). An oviduct-on-a-chip provides an enhanced in vitro environment for zygote genome reprogramming. Nature Communications. 9(1). 4934–4934. 114 indexed citations
7.
Hemerich, Daiane, Jessica van Setten, Vinicius Tragante, & Folkert W. Asselbergs. (2018). Integrative Bioinformatics Approaches for Identification of Drug Targets in Hypertension. Frontiers in Cardiovascular Medicine. 5. 25–25. 3 indexed citations
8.
Laan, Sander W. van der, Eric L. Harshfield, Daiane Hemerich, et al.. (2018). From lipid locus to drug target through human genomics. Cardiovascular Research. 114(9). 1258–1270. 21 indexed citations
9.
Hemerich, Daiane, Sander W. van der Laan, Vinicius Tragante, et al.. (2015). Impact of carotid atherosclerosis loci on cardiovascular events. Atherosclerosis. 243(2). 466–468. 12 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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2026