Anette‐G. Ziegler

16.2k total citations · 2 hit papers
144 papers, 7.9k citations indexed

About

Anette‐G. Ziegler is a scholar working on Genetics, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Anette‐G. Ziegler has authored 144 papers receiving a total of 7.9k indexed citations (citations by other indexed papers that have themselves been cited), including 121 papers in Genetics, 97 papers in Surgery and 88 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Anette‐G. Ziegler's work include Diabetes and associated disorders (117 papers), Pancreatic function and diabetes (89 papers) and Diabetes Management and Research (82 papers). Anette‐G. Ziegler is often cited by papers focused on Diabetes and associated disorders (117 papers), Pancreatic function and diabetes (89 papers) and Diabetes Management and Research (82 papers). Anette‐G. Ziegler collaborates with scholars based in Germany, United States and Sweden. Anette‐G. Ziegler's co-authors include Ezio Bonifacio, Peter Achenbach, Jeffrey P. Krischer, Åke Lernmark, Michael Hummel, Heike E. Naserke, Beena Akolkar, Kerstin Koczwara, Gerald T. Nepom and Sandra Hummel and has published in prestigious journals such as Proceedings of the National Academy of Sciences, JAMA and Journal of Clinical Investigation.

In The Last Decade

Anette‐G. Ziegler

141 papers receiving 7.6k 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.

Staging Presymptomatic Type 1 Diabetes: A Scientific Statement of JDRF, the Endocrine Society, and the American Diabetes Association

2015 735 citations Jessica L. Dunne, Jeffrey P. Krischer et al. Diabetes Care profile →
The 6 year incidence of diabetes-associated autoantibodies in genetically at-risk children: the TEDDY study

2015 295 citations Jeffrey P. Krischer, Kristian Lynch et al. Diabetologia profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anette‐G. Ziegler Germany	48	5.6k	4.3k	4.2k	1.0k	859	144	7.9k
Geir Joner Norway	37	2.5k 0.4×	1.5k 0.4×	2.1k 0.5×	526 0.5×	192 0.2×	94	4.9k
William Hagopian United States	50	7.6k 1.4×	5.9k 1.4×	5.6k 1.3×	1.6k 1.6×	1.0k 1.2×	163	9.8k
Marian Rewers United States	40	2.4k 0.4×	2.0k 0.5×	2.3k 0.6×	277 0.3×	1.1k 1.2×	83	4.9k
Tuula Simell Finland	29	3.4k 0.6×	2.3k 0.5×	2.5k 0.6×	507 0.5×	557 0.6×	54	5.3k
Knut Dahl‐Jørgensen Norway	46	2.9k 0.5×	2.2k 0.5×	3.6k 0.8×	778 0.8×	110 0.1×	174	6.7k
Beena Akolkar United States	35	3.9k 0.7×	2.7k 0.6×	2.5k 0.6×	720 0.7×	725 0.8×	92	5.2k
Christiane Winkler Germany	29	2.3k 0.4×	1.8k 0.4×	1.8k 0.4×	284 0.3×	154 0.2×	87	3.6k
Dario Iafusco Italy	30	1.9k 0.3×	1.8k 0.4×	1.9k 0.5×	146 0.1×	352 0.4×	163	4.0k
Frans Gorus Belgium	42	3.6k 0.7×	3.5k 0.8×	3.1k 0.7×	779 0.8×	172 0.2×	190	6.0k
Renata Lorini Italy	34	1.6k 0.3×	1.2k 0.3×	1.4k 0.3×	313 0.3×	352 0.4×	154	3.5k

Countries citing papers authored by Anette‐G. Ziegler

Since Specialization

Citations

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

Fields of papers citing papers by Anette‐G. Ziegler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anette‐G. Ziegler. 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 Anette‐G. Ziegler. The network helps show where Anette‐G. Ziegler may publish in the future.

Co-authorship network of co-authors of Anette‐G. Ziegler

This figure shows the co-authorship network connecting the top 25 collaborators of Anette‐G. Ziegler. A scholar is included among the top collaborators of Anette‐G. Ziegler 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 Anette‐G. Ziegler. Anette‐G. Ziegler 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

Weiß, Andreas, Kendra Vehik, Jeffrey P. Krischer, et al.. (2024). Caesarean section and risk of type 1 diabetes. Diabetologia. 67(8). 1582–1587. 4 indexed citations

Warncke, Katharina, Roy Tamura, Desmond Schatz, et al.. (2024). The Influence of Pubertal Development on Autoantibody Appearance and Progression to Type 1 Diabetes in the TEDDY Study. Journal of the Endocrine Society. 8(7). bvae103–bvae103.

Lernmark, Åke, Beena Akolkar, Jeffrey Krischer, et al.. (2023). Possible heterogeneity of initial pancreatic islet beta‐cell autoimmunity heralding type 1 diabetes. Journal of Internal Medicine. 294(2). 145–158. 11 indexed citations

Besser, Rachel, Kirstine J. Bell, Jennifer Couper, et al.. (2022). ISPAD Clinical Practice Consensus Guidelines 2022: Stages of type 1 diabetes in children and adolescents. Pediatric Diabetes. 23(8). 1175–1187. 64 indexed citations

Krischer, Jeffrey P., Xiang Liu, Åke Lernmark, et al.. (2021). Characteristics of children diagnosed with type 1 diabetes before vs after 6 years of age in the TEDDY cohort study. Diabetologia. 64(10). 2247–2257. 22 indexed citations

Lernmark, Åke, Ezio Bonifacio, William Hagopian, et al.. (2021). Transcriptional networks in at-risk individuals identify signatures of type 1 diabetes progression. Science Translational Medicine. 13(587). 29 indexed citations

Li, Qian, Xiang Liu, Jimin Yang, et al.. (2020). Plasma Metabolome and Circulating Vitamins Stratified Onset Age of an Initial Islet Autoantibody and Progression to Type 1 Diabetes: The TEDDY Study. Diabetes. 70(1). 282–292. 17 indexed citations

Ziegler, Anette‐G., Georg F. Hoffmann, Joerg Hasford, et al.. (2019). Screening for asymptomatic β-cell autoimmunity in young children. The Lancet Child & Adolescent Health. 3(5). 288–290. 9 indexed citations

Uusitalo, Ulla, Carin Andrén Aronsson, Xiang Liu, et al.. (2019). Early Probiotic Supplementation and the Risk of Celiac Disease in Children at Genetic Risk. Nutrients. 11(8). 1790–1790. 21 indexed citations

10.

Vehik, Kendra, Sandra Hummel, Jill M. Norris, et al.. (2018). Associations of Maternal Diabetes During Pregnancy with Overweight in Offspring: Results from the Prospective TEDDY Study. STM:n Hallinnonalan avoin julkaisuarkisto (Julkari). 3 indexed citations

11.

Krischer, Jeffrey P., Kristian Lynch, Åke Lernmark, et al.. (2017). Genetic and Environmental Interactions Modify the Risk of Diabetes-Related Autoimmunity by 6 Years of Age: The TEDDY Study. Diabetes Care. 40(9). 1194–1202. 130 indexed citations

12.

Beyerlein, Andreas, Kendra Vehik, Sonja Greven, et al.. (2017). Joint modeling of longitudinal autoantibody patterns and progression to type 1 diabetes: results from the TEDDY study. Acta Diabetologica. 54(11). 1009–1017. 20 indexed citations

13.

Beyerlein, Andreas, Andreas Ströbl, Christiane Winkler, et al.. (2017). Vaccinations in early life are not associated with development of islet autoimmunity in type 1 diabetes high-risk children: Results from prospective cohort data. Vaccine. 35(14). 1735–1741. 7 indexed citations

14.

Lynch, Kristian, Hye‐Seung Lee, Carina Törn, et al.. (2017). Gestational respiratory infections interacting with offspring HLA and CTLA-4 modifies incident β-cell autoantibodies. Journal of Autoimmunity. 86. 93–103. 18 indexed citations

15.

Serr, Isabelle, Rainer W. Fürst, Martin G. Scherm, et al.. (2016). miRNA92a targets KLF2 and the phosphatase PTEN signaling to promote human T follicular helper precursors in T1D islet autoimmunity. Proceedings of the National Academy of Sciences. 113(43). E6659–E6668. 48 indexed citations

16.

Achenbach, Peter, Michael J. Powell, Rebecca Coles, et al.. (2016). 3 Screen islet cell autoantibody ELISA: A sensitive and specific ELISA for the combined measurement of autoantibodies to GAD65, to IA-2 and to ZnT8. Clinica Chimica Acta. 462. 60–64. 27 indexed citations

17.

Kemppainen, Kaisa, Kristian Lynch, Edwin Liu, et al.. (2016). Factors That Increase Risk of Celiac Disease Autoimmunity After a Gastrointestinal Infection in Early Life. Clinical Gastroenterology and Hepatology. 15(5). 694–702.e5. 129 indexed citations

18.

Bonifacio, Ezio, Katharina Warncke, Christiane Winkler, Maike Wallner, & Anette‐G. Ziegler. (2011). Cesarean Section and Interferon-Induced Helicase Gene Polymorphisms Combine to Increase Childhood Type 1 Diabetes Risk. Diabetes. 60(12). 3300–3306. 80 indexed citations

19.

Achenbach, Peter, Kerstin Koczwara, Annette Knopff, et al.. (2004). Mature high-affinity immune responses to (pro)insulin anticipate the autoimmune cascade that leads to type 1 diabetes. Journal of Clinical Investigation. 114(4). 589–597. 176 indexed citations

20.

Naserke, Heike E., Ezio Bonifacio, & Anette‐G. Ziegler. (1999). Immunoglobulin G Insulin Autoantibodies in BABYDIAB Offspring Appear Postnatally: Sensitive Early Detection Using a Protein A/G-Based Radiobinding Assay¹. The Journal of Clinical Endocrinology & Metabolism. 84(4). 1239–1243. 35 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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