Daniel R. Witte

28.6k total citations · 2 hit papers
229 papers, 10.8k citations indexed

About

Daniel R. Witte is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Daniel R. Witte has authored 229 papers receiving a total of 10.8k indexed citations (citations by other indexed papers that have themselves been cited), including 96 papers in Endocrinology, Diabetes and Metabolism, 63 papers in Physiology and 48 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Daniel R. Witte's work include Diabetes, Cardiovascular Risks, and Lipoproteins (53 papers), Diabetes Management and Research (33 papers) and Diet and metabolism studies (24 papers). Daniel R. Witte is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (53 papers), Diabetes Management and Research (33 papers) and Diet and metabolism studies (24 papers). Daniel R. Witte collaborates with scholars based in Denmark, United Kingdom and United States. Daniel R. Witte's co-authors include Eric J. Brunner, Ádám G. Tabák, Mika Kivimäki, Marit E. Jørgensen, Dorte Vistisen, John Fuller, Nish Chaturvedi, Kristine Færch, Solomon Tesfaye and Torsten Lauritzen and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and The Lancet.

In The Last Decade

Daniel R. Witte

224 papers receiving 10.5k 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.

Vascular Risk Factors and Diabetic Neuropathy

2005 966 citations Solomon Tesfaye, Daniel R. Witte et al. profile →
Trajectories of glycaemia, insulin sensitivity, and insulin secretion before diagnosis of type 2 diabetes: an analysis from the Whitehall II study

2009 636 citations Daniel R. Witte et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel R. Witte Denmark	55	3.9k	3.1k	2.1k	2.0k	1.6k	229	10.8k
Francesco Chiarelli Italy	63	4.4k 1.1×	2.2k 0.7×	2.1k 1.0×	1.4k 0.7×	1.4k 0.9×	629	15.9k
Soo Lim South Korea	60	4.5k 1.2×	4.0k 1.3×	2.8k 1.4×	1.9k 0.9×	2.6k 1.7×	364	14.3k
Wolfgang Rathmann Germany	66	6.1k 1.6×	3.5k 1.1×	2.8k 1.4×	2.3k 1.2×	3.7k 2.4×	445	16.3k
Gerard J. Blauw Netherlands	48	1.9k 0.5×	2.3k 0.7×	2.0k 1.0×	2.0k 1.0×	1.3k 0.8×	177	11.8k
Péter Vollenweider Switzerland	60	1.9k 0.5×	5.3k 1.8×	2.1k 1.0×	2.6k 1.3×	1.9k 1.2×	363	14.6k
Sudhesh Kumar United Kingdom	68	4.1k 1.1×	4.5k 1.5×	3.2k 1.5×	2.0k 1.0×	4.6k 2.9×	238	14.7k
Joachim Spranger Germany	56	2.7k 0.7×	3.2k 1.0×	3.1k 1.5×	1.4k 0.7×	3.1k 2.0×	244	11.3k
Takanari Kitazono Japan	59	1.7k 0.4×	2.9k 0.9×	2.9k 1.4×	2.9k 1.5×	2.5k 1.6×	730	15.2k
Gérard Waeber Switzerland	63	2.3k 0.6×	4.4k 1.4×	3.3k 1.6×	1.9k 0.9×	1.8k 1.1×	389	15.3k
Barbara Thorand Germany	60	2.4k 0.6×	2.7k 0.9×	1.5k 0.7×	1.5k 0.7×	3.2k 2.0×	305	10.7k

Countries citing papers authored by Daniel R. Witte

Since Specialization

Citations

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

Fields of papers citing papers by Daniel R. Witte

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel R. Witte. 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 Daniel R. Witte. The network helps show where Daniel R. Witte may publish in the future.

Co-authorship network of co-authors of Daniel R. Witte

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel R. Witte. A scholar is included among the top collaborators of Daniel R. Witte 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 Daniel R. Witte. Daniel R. Witte 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

Choi, Hyojin, Steven K. Sutton, Daniel R. Witte, et al.. (2025). The CARING intervention for neuro-oncology family caregivers: Randomized controlled trial feasibility, eSNAP/caregiver navigation engagement, and acceptability. Neuro-Oncology Practice. 12(5). 839–849.

Witte, Daniel R., et al.. (2025). Maternal Demographic Patterns in Medication use During Pregnancy: A Nationwide Register Study. Basic & Clinical Pharmacology & Toxicology. 136(4). e70020–e70020.

Andersen, Signe T., Tina Parkner, Claus Vinter Bødker Hviid, et al.. (2025). Serum Neurofilament Light Chain and Structural and Functional Nerve Fiber Loss in Painful and Painless Diabetic Polyneuropathy. Diabetes Research and Clinical Practice. 223. 112098–112098.

Witte, Daniel R., et al.. (2024). Diabetes-related risk factors and survival among individuals with type 2 diabetes and breast, lung, colorectal, or prostate cancer. Scientific Reports. 14(1). 10956–10956. 2 indexed citations

Wibæk, Rasmus, Gregers S. Andersen, Christina C. Dahm, Daniel R. Witte, & Ádám Hulmán. (2023). Large Language Models for Epidemiological Research via Automated Machine Learning: Case Study Using Data From the British National Child Development Study. JMIR Medical Informatics. 11. e43638–e43638. 4 indexed citations

Hjortebjerg, Rikke, et al.. (2023). The STC2–PAPP-A–IGFBP4–IGF1 axis and its associations to mortality and CVD in T2D. Endocrine Connections. 12(3). 3 indexed citations

Aggarwal, Ravi, Else‐Marie Dalsgaard, Ole L. Dollerup, et al.. (2022). Perception of artificial intelligence-based solutions in healthcare among people with and without diabetes: A cross-sectional survey from the health in Central Denmark cohort. SHILAP Revista de lepidopterología. 9. 100114–100114. 12 indexed citations

Poulsen, Casper Sahl, Florentin Constancias, Evelina Stankevič, et al.. (2022). Association of general health and lifestyle factors with the salivary microbiota – Lessons learned from the ADDITION-PRO cohort. Frontiers in Cellular and Infection Microbiology. 12. 1055117–1055117. 8 indexed citations

Kjærgaard, Alisa D., Alexander Teumer, Daniel R. Witte, et al.. (2021). Obesity and Kidney Function: A Two-Sample Mendelian Randomization Study. Clinical Chemistry. 68(3). 461–472. 48 indexed citations

10.

Ribe, Anette Riisgaard, Claus Høstrup Vestergaard, Anders Prior, et al.. (2021). Potentially inappropriate medications (PIMs): frequency and extent of GP-related variation in PIMs: a register-based cohort study. BMJ Open. 11(7). e046756–e046756. 7 indexed citations

11.

Hulmán, Ádám, Daniel R. Witte, Dorte Vistisen, et al.. (2018). Pathophysiological Characteristics Underlying Different Glucose Response Curves: A Latent Class Trajectory Analysis From the Prospective EGIR-RISC Study. Diabetes Care. 41(8). 1740–1748. 42 indexed citations

12.

Aguayo, Gloria, Michel Vaillant, Anne‐Françoise Donneau, et al.. (2018). Comparative analysis of the association between 35 frailty scores and cardiovascular events, cancer, and total mortality in an elderly general population in England: An observational study. PLoS Medicine. 15(3). e1002543–e1002543. 63 indexed citations

13.

Amadid, Hanan, Nanna B. Johansen, Dorte Vistisen, et al.. (2017). Physical Activity Dimensions Associated with Impaired Glucose Metabolism. Medicine & Science in Sports & Exercise. 49(11). 2176–2184. 9 indexed citations

14.

Laursen, Anne Sofie Dam, Anne-Louise S. Hansen, Niels Wiinberg, et al.. (2015). Higher Physical Activity Is Associated With Lower Aortic Stiffness but Not With Central Blood Pressure. Medicine. 94(5). e485–e485. 19 indexed citations

15.

Færch, Kristine, Signe S. Torekov, Dorte Vistisen, et al.. (2015). GLP-1 Response to Oral Glucose Is Reduced in Prediabetes, Screen-Detected Type 2 Diabetes, and Obesity and Influenced by Sex: The ADDITION-PRO Study. Diabetes. 64(7). 2513–2525. 252 indexed citations

16.

Faurholt‐Jepsen, Daniel, Nyagosya Range, George PrayGod, et al.. (2013). Diabetes is a strong predictor of mortality during tuberculosis treatment: a prospective cohort study among tuberculosis patients from M wanza, T anzania. Tropical Medicine & International Health. 18(7). 822–829. 84 indexed citations

17.

Byberg, Stine, Dirk L. Christensen, Dorte Vistisen, et al.. (2012). Sleep duration and sleep quality are associated differently with alterations of glucose homeostasis. Diabetic Medicine. 29(9). e354–60. 57 indexed citations

18.

Krarup, Nikolaj T., Niels Grarup, Karina Banasik, et al.. (2012). Correction: The PNPLA3 rs738409 G-Allele Associates with Reduced Fasting Serum Triglyceride and Serum Cholesterol in Danes with Impaired Glucose Regulation. PLoS ONE. 7(9). 3 indexed citations

19.

Jørgensen, Marit E., K. Borch‐Johnsen, Daniel R. Witte, & Peter Bjerregaard. (2011). Diabetes in Greenland and its relationship with urbanization. Diabetic Medicine. 29(6). 755–760. 54 indexed citations

20.

Sandholt, Camilla H., M. A. Vestmar, Anders Borglykke, et al.. (2011). Studies of Metabolic Phenotypic Correlates of 15 Obesity Associated Gene Variants. PLoS ONE. 6(9). e23531–e23531. 49 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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