Anke Schwandt

1.8k total citations · 1 hit paper
36 papers, 1.1k citations indexed

About

Anke Schwandt is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Surgery. According to data from OpenAlex, Anke Schwandt has authored 36 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Endocrinology, Diabetes and Metabolism, 25 papers in Genetics and 17 papers in Surgery. Recurrent topics in Anke Schwandt's work include Diabetes Management and Research (29 papers), Diabetes and associated disorders (22 papers) and Pancreatic function and diabetes (15 papers). Anke Schwandt is often cited by papers focused on Diabetes Management and Research (29 papers), Diabetes and associated disorders (22 papers) and Pancreatic function and diabetes (15 papers). Anke Schwandt collaborates with scholars based in Germany, Austria and United States. Anke Schwandt's co-authors include Reinhard W. Holl, Joachim Rosenbauer, Olga Kordonouri, Claudia Boettcher, Bettina Heidtmann, Beate Karges, Thomas Kapellen, Elisabeth B. Binder, Ulrike Schierloh and Sabine E. Hofer and has published in prestigious journals such as JAMA, Diabetes Care and PEDIATRICS.

In The Last Decade

Anke Schwandt

36 papers receiving 1.1k 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.

Association of Insulin Pump Therapy vs Insulin Injection Therapy With Severe Hypoglycemia, Ketoacidosis, and Glycemic Control Among Children, Adolescents, and Young Adults With Type 1 Diabetes

2017 304 citations Beate Karges, Anke Schwandt et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anke Schwandt Germany	16	853	610	498	83	73	36	1.1k
Julia M. Hermann Germany	17	1.1k 1.2×	795 1.3×	641 1.3×	74 0.9×	57 0.8×	29	1.2k
Eggert Lilienthal Germany	17	552 0.6×	378 0.6×	408 0.8×	75 0.9×	68 0.9×	34	814
Marco Marigliano Italy	19	505 0.6×	388 0.6×	403 0.8×	19 0.2×	42 0.6×	66	864
Agata Chobot Poland	14	440 0.5×	345 0.6×	358 0.7×	21 0.3×	44 0.6×	57	845
Lenita Zajdenverg Brazil	16	397 0.5×	268 0.4×	265 0.5×	12 0.1×	78 1.1×	93	984
Mona A. Salem Egypt	9	356 0.4×	189 0.3×	144 0.3×	22 0.3×	47 0.6×	13	655
Ricardo Gómez United States	13	585 0.7×	252 0.4×	212 0.4×	18 0.2×	16 0.2×	34	901
Bedowra Zabeen Bangladesh	12	355 0.4×	209 0.3×	155 0.3×	13 0.2×	74 1.0×	41	622
D. Jane Holmes–Walker Australia	16	303 0.4×	213 0.3×	243 0.5×	110 1.3×	67 0.9×	34	576
Kineret Mazor‐Aronovitch Israel	15	351 0.4×	173 0.3×	160 0.3×	12 0.1×	23 0.3×	32	506

Countries citing papers authored by Anke Schwandt

Since Specialization

Citations

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

Fields of papers citing papers by Anke Schwandt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anke Schwandt

This figure shows the co-authorship network connecting the top 25 collaborators of Anke Schwandt. A scholar is included among the top collaborators of Anke Schwandt 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 Anke Schwandt. Anke Schwandt 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

Hoyer, Annika, et al.. (2024). A parametric additive hazard model for time-to-event analysis. BMC Medical Research Methodology. 24(1). 48–48. 1 indexed citations

Cardona‐Hernandez, Roque, Anke Schwandt, Hessa Alkandari, et al.. (2021). Glycemic Outcome Associated With Insulin Pump and Glucose Sensor Use in Children and Adolescents With Type 1 Diabetes. Data From the International Pediatric Registry SWEET. Diabetes Care. 44(5). 1176–1184. 88 indexed citations

Prahalad, Priya, Anke Schwandt, Stéphane Besançon, et al.. (2021). Hemoglobin A1c trajectories in the first 18 months after diabetes diagnosis in the SWEET diabetes registry. Pediatric Diabetes. 23(2). 228–236. 10 indexed citations

Prinz, Nicole, Anke Schwandt, Bettina Hartmann, et al.. (2021). Not All Type-2-Diabetes Patients Increase Body Mass Index After Initiating Insulin: Results of Latent Class Analysis from the DPV Registry. Diabetes Technology & Therapeutics. 23(12). 799–806. 1 indexed citations

Biester, Torben, Anke Schwandt, Bettina Heidtmann, et al.. (2021). Declining Frequency of Acute Complications Associated with Tubeless Insulin Pump Use: Data from 2,911 Patients in the German/Austrian Diabetes Patienten Verlaufsdokumentation Registry. Diabetes Technology & Therapeutics. 23(8). 527–536. 13 indexed citations

Schwandt, Anke, Michael Witsch, Olga Kordonouri, et al.. (2021). The SWEET Project 10-Year Benchmarking in 19 Countries Worldwide Is Associated with Improved HbA1c and Increased Use of Diabetes Technology in Youth with Type 1 Diabetes. Diabetes Technology & Therapeutics. 23(7). 491–499. 60 indexed citations

Reschke, Felix, Julia Rohayem, Pietro Maffei, et al.. (2021). Collaboration for rare diabetes: understanding new treatment options for Wolfram syndrome. Endocrine. 71(3). 626–633. 11 indexed citations

Sherr, Jennifer L., Anke Schwandt, Helen Phelan, et al.. (2021). Hemoglobin A1c Patterns of Youth With Type 1 Diabetes 10 Years Post Diagnosis From 3 Continents. PEDIATRICS. 148(2). 6 indexed citations

Schwandt, Anke, Oliver Kuß, Désirée Dunstheimer, et al.. (2020). Three-Variate Longitudinal Patterns of Metabolic Control, Body Mass Index, and Insulin Dose during Puberty in a Type 1 Diabetes Cohort: A Group-Based Multitrajectory Analysis. The Journal of Pediatrics. 218. 64–71.e3. 8 indexed citations

10.

Sherr, Jennifer L., Anke Schwandt, Helen Phelan, et al.. (2020). 1580-P: Hemoglobin A1c (HbA1c) Trajectories of Youth with Type 1 Diabetes (T1D) over 10 Years Postdiagnosis from Three Continents. Diabetes. 69(Supplement_1). 3 indexed citations

11.

Clements, Mark A., Anke Schwandt, Kim C. Donaghue, et al.. (2019). Five heterogeneous HbA1c trajectories from childhood to adulthood in youth with type 1 diabetes from three different continents: A group‐based modeling approach. Pediatric Diabetes. 20(7). 920–931. 34 indexed citations

12.

Phelan, Helen, Nicole C. Foster, Anke Schwandt, et al.. (2019). Longitudinal trajectories of BMI z‐score: an international comparison of 11,513 Australian, American and German/Austrian/Luxembourgian youth with type 1 diabetes. Pediatric Obesity. 15(2). e12582–e12582. 19 indexed citations

13.

Vestergaard, Esben Thyssen, Anke Schwandt, Jacques Beltrand, et al.. (2019). Proportion of Basal to Total Insulin Dose Is Associated with Metabolic Control, Body Mass Index, and Treatment Modality in Children with Type 1 Diabetes—A Cross-Sectional Study with Data from the International SWEET Registry. The Journal of Pediatrics. 215. 216–222.e1. 11 indexed citations

14.

Müther, Silvia, et al.. (2019). Transition to adult diabetes care in Germany - high risk for acute complications and declining metabolic control during the transition phase. Yearbook of pediatric endocrinology. 2 indexed citations

15.

Schwandt, Anke, Dominik Bergis, Michael Denkinger, et al.. (2018). Risk factors for decline in renal function among young adults with type 1 diabetes. Journal of Diabetes and its Complications. 32(10). 940–946. 10 indexed citations

16.

Prinz, Nicole, Anke Schwandt, Marianne Becker, et al.. (2018). Trajectories of Body Mass Index from Childhood to Young Adulthood among Patients with Type 1 Diabetes—A Longitudinal Group-Based Modeling Approach Based on the DPV Registry. The Journal of Pediatrics. 201. 78–85.e4. 18 indexed citations

17.

Müther, Silvia, et al.. (2018). Transition to adult diabetes care in Germany-High risk for acute complications and declining metabolic control during the transition phase. Pediatric Diabetes. 19(6). 1094–1099. 36 indexed citations

18.

Bohn, Barbara, Anke Schwandt, Peter Ihle, et al.. (2017). Hospital admission in children and adolescents with or without type 1 diabetes from Germany: An analysis of statutory health insurance data on 12 million subjects. Pediatric Diabetes. 19(4). 721–726. 9 indexed citations

19.

Schwandt, Anke, Michael Denkinger, Peter Fasching, et al.. (2017). Comparison of MDRD, CKD-EPI, and Cockcroft-Gault equation in relation to measured glomerular filtration rate among a large cohort with diabetes. Journal of Diabetes and its Complications. 31(9). 1376–1383. 102 indexed citations

20.

Reiter, Rudolf, Sibylle Brosch, Anja Pickhard, et al.. (2012). Genetic and environmental risk factors for submucous cleft palate. European Journal Of Oral Sciences. 120(2). 97–103. 18 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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