Claudia Nicolay

2.3k total citations
58 papers, 1.5k citations indexed

About

Claudia Nicolay is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Rheumatology. According to data from OpenAlex, Claudia Nicolay has authored 58 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Endocrinology, Diabetes and Metabolism, 15 papers in Molecular Biology and 9 papers in Rheumatology. Recurrent topics in Claudia Nicolay's work include Diabetes Treatment and Management (27 papers), Diabetes Management and Research (18 papers) and Metabolism, Diabetes, and Cancer (12 papers). Claudia Nicolay is often cited by papers focused on Diabetes Treatment and Management (27 papers), Diabetes Management and Research (18 papers) and Metabolism, Diabetes, and Cancer (12 papers). Claudia Nicolay collaborates with scholars based in Germany, United States and United Kingdom. Claudia Nicolay's co-authors include Albrecht Hesse, Roswitha Siener, Stephen C. Jones, Anthony Barnett, Aoife Kilcoyne, Melanie J. Davies, Richard Donnelly, Karl‐Heinz Utz, Gerd E. Von Unruh and T. Wallny and has published in prestigious journals such as Brain, Diabetes Care and Diabetes.

In The Last Decade

Claudia Nicolay

57 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Claudia Nicolay Germany 20 442 380 269 246 219 58 1.5k
Stephen B. Walsh United Kingdom 24 145 0.3× 575 1.5× 768 2.9× 181 0.7× 261 1.2× 69 1.8k
G. Luisetto Italy 23 270 0.6× 97 0.3× 411 1.5× 277 1.1× 102 0.5× 74 1.6k
E D’Erasmo Italy 25 253 0.6× 172 0.5× 392 1.5× 338 1.4× 107 0.5× 91 2.0k
Nazzarena Malavolta Italy 24 83 0.2× 133 0.3× 237 0.9× 458 1.9× 63 0.3× 71 1.9k
B.E.C. Nordin United Kingdom 25 196 0.4× 290 0.8× 241 0.9× 224 0.9× 120 0.5× 67 1.9k
J.-C. Souberbielle France 21 207 0.5× 157 0.4× 135 0.5× 126 0.5× 246 1.1× 37 1.5k
Henning W. Woitge Germany 24 381 0.9× 178 0.5× 783 2.9× 160 0.7× 94 0.4× 41 2.5k
P Jaeger Switzerland 25 54 0.1× 531 1.4× 368 1.4× 453 1.8× 225 1.0× 71 1.9k
Peter J. Tebben United States 21 367 0.8× 205 0.5× 226 0.8× 208 0.8× 105 0.5× 61 1.6k
Satoshi Yamaguchi Japan 23 234 0.5× 292 0.8× 251 0.9× 287 1.2× 47 0.2× 89 1.4k

Countries citing papers authored by Claudia Nicolay

Since Specialization
Citations

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

Fields of papers citing papers by Claudia Nicolay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claudia Nicolay

This figure shows the co-authorship network connecting the top 25 collaborators of Claudia Nicolay. A scholar is included among the top collaborators of Claudia Nicolay 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 Claudia Nicolay. Claudia Nicolay 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.
Franek, Edward, Prem Pais, Jan Basile, et al.. (2023). General versus central adiposity as risk factors for cardiovascular-related outcomes in a high-risk population with type 2 diabetes: a post hoc analysis of the REWIND trial. Cardiovascular Diabetology. 22(1). 52–52. 16 indexed citations
2.
Botros, Fady T., Hertzel C. Gerstein, Raleigh Malik, et al.. (2023). Dulaglutide and Kidney Function–Related Outcomes in Type 2 Diabetes: A REWIND Post Hoc Analysis. Diabetes Care. 46(8). 1524–1530. 17 indexed citations
3.
Pedersen, Sue D., Francesco Giorgino, Guillermo E. Umpierrez, et al.. (2023). Relationship between body weight change and glycaemic control with tirzepatide treatment in people with type 2 diabetes: A post hoc assessment of the SURPASS clinical trial programme. Diabetes Obesity and Metabolism. 25(9). 2553–2560. 11 indexed citations
5.
Schlueter, Max, et al.. (2020). A modeling framework for the economic evaluation of baricitinib in moderate-to-severe rheumatoid arthritis. Expert Review of Pharmacoeconomics & Outcomes Research. 20(2). 221–228. 1 indexed citations
6.
Caporali, Roberto, et al.. (2020). New Rheumatoid Arthritis Treatments for ‘Old’ Patients: Results of a Systematic Review. Advances in Therapy. 37(9). 3676–3691. 6 indexed citations
9.
Hawkins, Neil, John F. Thompson, David A. Scott, et al.. (2014). Assessing Consistency in a Network Meta-Analysis to Compare Once Weekly Dulaglutide Versus Other Glp-1 Receptor Agonists in Patients with Type 2 Diabetes. Value in Health. 17(7). A335–A335. 2 indexed citations
11.
Dilla, Tatiana, Amparo Valladares, Claudia Nicolay, et al.. (2012). Healthcare Costs Associated with Change in Body Mass Index in Patients with Type 2 Diabetes Mellitus in Spain. Applied Health Economics and Health Policy. 10(6). 417–430. 27 indexed citations
13.
Jones, Stephen C., Marian Benroubi, Conxa Castell, et al.. (2009). Characteristics of patients with type 2 diabetes mellitus initiating insulin therapy: baseline data from the INSTIGATE study*. Current Medical Research and Opinion. 25(3). 691–700. 44 indexed citations
14.
Enkling, Norbert, Claudia Nicolay, Stefan Bayer, Regina Mericske‐Stern, & Karl‐Heinz Utz. (2009). Investigating interocclusal perception in tactile teeth sensibility using symmetric and asymmetric analysis. Clinical Oral Investigations. 14(6). 683–690. 18 indexed citations
15.
Enkling, Norbert, et al.. (2009). Tactile Sensibility of Single‐Tooth Implants and Natural Teeth Under Local Anesthesia of the Natural Antagonistic Teeth. Clinical Implant Dentistry and Related Research. 14(2). 273–280. 31 indexed citations
16.
Wallny, T., H.‐H. Brackmann, Clayton N. Kraft, Claudia Nicolay, & P. Pennekamp. (2006). Achilles tendon lengthening for ankle equinus deformity in hemophiliacs: 23 patients followed for 1–24 years. Acta Orthopaedica. 77(1). 164–168. 11 indexed citations
17.
Heukamp, Lukas C., Peter Schirmacher, Kai Breuhahn, et al.. (2006). Podocalyxin‐like protein 1 expression in primary hepatic tumours and tumour‐like lesions. Histopathology. 49(3). 242–247. 24 indexed citations
18.
Siener, Roswitha, et al.. (2005). THE EFFICACY OF DIETARY INTERVENTION ON URINARY RISK FACTORS FOR STONE FORMATION IN RECURRENT CALCIUM OXALATE STONE PATIENTS. The Journal of Urology. 173(5). 1601–1605. 89 indexed citations
19.
Nicolay, Claudia, O. Diedrich, M von Falkenhausen, et al.. (2004). Wertigkeit der Sonographie nach Rotatorenmanschettennaht: ein Vergleich mit MRT und klinischer Diagnostik. Ultraschall in der Medizin - European Journal of Ultrasound. 25(1). 40–47. 6 indexed citations
20.
Siener, Roswitha, et al.. (2003). Dietary risk factors for hyperoxaluria in calcium oxalate stone formers. Kidney International. 63(3). 1037–1043. 124 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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