Erwin Reiling

1.3k total citations
17 papers, 575 citations indexed

About

Erwin Reiling is a scholar working on Molecular Biology, Physiology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Erwin Reiling has authored 17 papers receiving a total of 575 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Physiology and 5 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Erwin Reiling's work include Adipose Tissue and Metabolism (5 papers), Genetic Associations and Epidemiology (4 papers) and DNA Repair Mechanisms (4 papers). Erwin Reiling is often cited by papers focused on Adipose Tissue and Metabolism (5 papers), Genetic Associations and Epidemiology (4 papers) and DNA Repair Mechanisms (4 papers). Erwin Reiling collaborates with scholars based in Netherlands, United States and Germany. Erwin Reiling's co-authors include Jolanda M.A. Boer, Edith J. M. Feskens, Leen M. ‘t Hart, J. A. Maassen, Giel Nijpels, Joost Dekker, Timon W. van Haeften, Marlous J. Groenewoud, Robert J. Heine and Martijn E.T. Dollé and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Erwin Reiling

16 papers receiving 563 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Erwin Reiling Netherlands 12 271 179 144 116 114 17 575
Mario A. Morken United States 6 489 1.8× 226 1.3× 104 0.7× 94 0.8× 189 1.7× 9 693
Wing Yan So Hong Kong 17 384 1.4× 115 0.6× 156 1.1× 151 1.3× 160 1.4× 23 750
Ramamani Arumugam United States 12 187 0.7× 115 0.6× 106 0.7× 122 1.1× 150 1.3× 15 481
Yuedan Zhou Sweden 12 292 1.1× 210 1.2× 124 0.9× 161 1.4× 158 1.4× 18 582
Dhanasekaran Bodhini India 15 184 0.7× 248 1.4× 187 1.3× 127 1.1× 90 0.8× 29 568
Beate Enigk Germany 14 256 0.9× 127 0.7× 81 0.6× 69 0.6× 182 1.6× 15 556
Timothy M. Mason Canada 9 141 0.5× 165 0.9× 181 1.3× 142 1.2× 95 0.8× 10 482
Ji Ho Suh United States 14 299 1.1× 128 0.7× 107 0.7× 56 0.5× 58 0.5× 27 542
Johanne Marie Justesen Denmark 14 162 0.6× 240 1.3× 66 0.5× 68 0.6× 93 0.8× 20 531
Shuyang Traub Switzerland 8 245 0.9× 228 1.3× 218 1.5× 305 2.6× 137 1.2× 8 732

Countries citing papers authored by Erwin Reiling

Since Specialization
Citations

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

Fields of papers citing papers by Erwin Reiling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erwin Reiling

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

All Works

17 of 17 papers shown
1.
Brandt, Renata M. C., Sander Barnhoorn, Sandra Imholz, et al.. (2025). High protein intake causes gene-length-dependent transcriptional decline, shortens lifespan and accelerates ageing in progeroid DNA repair-deficient mice. PubMed. 3(1). 20–20. 1 indexed citations
2.
Brandt, Renata M. C., Sander Barnhoorn, Nicole van Vliet, et al.. (2022). The use of progeroid DNA repair-deficient mice for assessing anti-aging compounds, illustrating the benefits of nicotinamide riboside. SHILAP Revista de lepidopterología. 3. 1005322–1005322. 10 indexed citations
3.
Wu, Haiyan, Bibi S. van Thiel, Paula K. Bautista‐Niño, et al.. (2017). Dietary restriction but not angiotensin II type 1 receptor blockade improves DNA damage-related vasodilator dysfunction in rapidly agingErcc1Δ/−mice. Clinical Science. 131(15). 1941–1953. 14 indexed citations
4.
Reiling, Erwin, Ewoud N. Speksnijder, Amanda C. M. Pronk, et al.. (2014). Human TP53 polymorphism (rs1042522) modelled in mouse does not affect glucose metabolism and body composition. Scientific Reports. 4(1). 4091–4091. 3 indexed citations
5.
Choi, Yong Jun, Li Han, Mi‐Young Son, et al.. (2014). Deletion of Individual Ku Subunits in Mice Causes an NHEJ-Independent Phenotype Potentially by Altering Apurinic/Apyrimidinic Site Repair. PLoS ONE. 9(1). e86358–e86358. 20 indexed citations
6.
Reiling, Erwin, Martijn E.T. Dollé, Sameh A. Youssef, et al.. (2014). The Progeroid Phenotype of Ku80 Deficiency Is Dominant over DNA-PKCS Deficiency. PLoS ONE. 9(4). e93568–e93568. 12 indexed citations
7.
Maslov, Alexander Y., Wilber Quispe‐Tintaya, Ryan R. White, et al.. (2013). DNA damage in normally and prematurely aged mice. Aging Cell. 12(3). 467–477. 46 indexed citations
8.
Reiling, Erwin, Valeriya Lyssenko, Jolanda M.A. Boer, et al.. (2011). Codon 72 polymorphism (rs1042522) of TP53 is associated with changes in diastolic blood pressure over time. European Journal of Human Genetics. 20(6). 696–700. 20 indexed citations
9.
Boer, Jolanda M.A., et al.. (2011). Genetic variants and the metabolic syndrome: a systematic review. Obesity Reviews. 12(11). 952–967. 132 indexed citations
10.
Reiling, Erwin, Charlotte Ling, André G. Uitterlinden, et al.. (2010). The Association of Mitochondrial Content with Prevalent and Incident Type 2 Diabetes. The Journal of Clinical Endocrinology & Metabolism. 95(4). 1909–1915. 18 indexed citations
11.
Reiling, Erwin, Esther van ‘t Riet, Marlous J. Groenewoud, et al.. (2009). Combined effects of single-nucleotide polymorphisms in GCK, GCKR, G6PC2 and MTNR1B on fasting plasma glucose and type 2 diabetes risk. Diabetologia. 52(9). 1866–1870. 52 indexed citations
12.
Reiling, Erwin, Jana V. van Vliet‐Ostaptchouk, Esther van ‘t Riet, et al.. (2009). Genetic association analysis of 13 nuclear-encoded mitochondrial candidate genes with type II diabetes mellitus: the DAMAGE study. European Journal of Human Genetics. 17(8). 1056–1062. 11 indexed citations
13.
Simonis-Bik, Annemarie M., Giel Nijpels, Timon W. van Haeften, et al.. (2009). Gene Variants in the Novel Type 2 Diabetes Loci CDC123/CAMK1D, THADA, ADAMTS9, BCL11A, and MTNR1B Affect Different Aspects of Pancreatic β-Cell Function. Diabetes. 59(1). 293–301. 102 indexed citations
14.
Groenewoud, Marlous J., Joost Dekker, Andreas Fritsche, et al.. (2008). Variants of CDKAL1 and IGF2BP2 affect first-phase insulin secretion during hyperglycaemic clamps. Diabetologia. 51(9). 1659–1663. 101 indexed citations
15.
Reiling, Erwin, Joost Dekker, Tine Maria Hansen, et al.. (2006). Evidence that the LARS2 gene represents a novel type 2 diabetes mellitus gene. Diabetologia. 49. 37–38.
16.
Hansen, Torben, Joost Dekker, Erwin Reiling, et al.. (2006). The HADHSC Gene Encoding Short-Chain l-3-Hydroxyacyl-CoA Dehydrogenase (SCHAD) and Type 2 Diabetes Susceptibility. Diabetes. 55(11). 3193–3196. 4 indexed citations
17.
Maassen, J. A., Leen M. ‘t Hart, George M. C. Janssen, et al.. (2006). Mitochondrial diabetes and its lessons for common Type 2 diabetes. Biochemical Society Transactions. 34(5). 819–823. 29 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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