Nanette C. Schloot

6.8k total citations · 2 hit papers
114 papers, 4.4k citations indexed

About

Nanette C. Schloot is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Nanette C. Schloot has authored 114 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Genetics, 64 papers in Endocrinology, Diabetes and Metabolism and 53 papers in Surgery. Recurrent topics in Nanette C. Schloot's work include Diabetes and associated disorders (76 papers), Diabetes Management and Research (56 papers) and Pancreatic function and diabetes (50 papers). Nanette C. Schloot is often cited by papers focused on Diabetes and associated disorders (76 papers), Diabetes Management and Research (56 papers) and Pancreatic function and diabetes (50 papers). Nanette C. Schloot collaborates with scholars based in Germany, United States and Netherlands. Nanette C. Schloot's co-authors include Bart O. Roep, Dale R. Wegmann, Hubert Kolb, Ronald G. Gill, Dylan Daniel, Richard David Leslie, Stéphan Martin, George S. Eisenbarth, Christian Herder and René R. P. de Vries and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and The Journal of Immunology.

In The Last Decade

Nanette C. Schloot

107 papers receiving 4.3k citations

Hit Papers

align trajectories sort by overperformance

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.

Ketone bodies: from enemy to friend and guardian angel

2021 222 citations Hubert Kolb, Kerstin Kempf et al. BMC Medicine profile →
Triple hormone receptor agonist retatrutide for metabolic dysfunction-associated steatotic liver disease: a randomized phase 2a trial

2024 118 citations Nanette C. Schloot et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nanette C. Schloot Germany	39	2.5k	1.9k	1.7k	1.2k	742	114	4.4k
John P. Mordes United States	43	2.6k 1.0×	1.4k 0.7×	2.1k 1.2×	3.1k 2.6×	936 1.3×	173	6.5k
Riccardo Bonfanti Italy	34	1.7k 0.7×	1.4k 0.7×	2.2k 1.3×	437 0.4×	518 0.7×	156	4.6k
Frans Gorus Belgium	42	3.6k 1.5×	3.1k 1.6×	3.5k 2.1×	779 0.7×	673 0.9×	190	6.0k
R Assan France	31	1.4k 0.6×	1.9k 1.0×	1.7k 1.0×	415 0.3×	744 1.0×	200	4.2k
William Hagopian United States	50	7.6k 3.0×	5.6k 2.9×	5.9k 3.5×	1.6k 1.4×	854 1.2×	163	9.8k
Christiane Winkler Germany	29	2.3k 0.9×	1.8k 0.9×	1.8k 1.0×	284 0.2×	575 0.8×	87	3.6k
Mitsuru Ohsugi Japan	29	755 0.3×	1.0k 0.5×	1.4k 0.8×	1.0k 0.9×	1.9k 2.6×	80	5.4k
Hisahiko Sekihara Japan	39	675 0.3×	1.2k 0.6×	1.3k 0.7×	328 0.3×	2.2k 3.0×	133	5.3k
Jo Kitawaki Japan	36	989 0.4×	375 0.2×	564 0.3×	1.6k 1.3×	686 0.9×	198	5.4k
Ronit Shiri‐Sverdlov Netherlands	37	528 0.2×	861 0.4×	884 0.5×	601 0.5×	1.5k 2.1×	108	4.4k

Countries citing papers authored by Nanette C. Schloot

Since Specialization

Citations

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

Fields of papers citing papers by Nanette C. Schloot

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nanette C. Schloot. 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 Nanette C. Schloot. The network helps show where Nanette C. Schloot may publish in the future.

Co-authorship network of co-authors of Nanette C. Schloot

This figure shows the co-authorship network connecting the top 25 collaborators of Nanette C. Schloot. A scholar is included among the top collaborators of Nanette C. Schloot 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 Nanette C. Schloot. Nanette C. Schloot 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

Zhang, Manling, et al.. (2025). Association of Long‐Term Body Mass Index Variability With the Development of Heart Failure With Preserved Ejection Fraction and Heart Failure With Reduced Ejection Fraction Across Patterns of Weight Change. Journal of the American Heart Association. 14(18). e039976–e039976.

Tittel, Sascha R., Alena Welters, Wölfram Karges, et al.. (2024). Increased cardiovascular risk in people with LADA in comparison to type 1 diabetes and type 2 diabetes: Findings from the DPV registry in Germany and Austria. Diabetes Obesity and Metabolism. 27(2). 563–573. 1 indexed citations

Massey, Robert, Yu Chen, Marina Panova‐Noeva, et al.. (2024). BMI variability and cardiovascular outcomes within clinical trial and real-world environments in type 2 diabetes: an IMI2 SOPHIA study. Cardiovascular Diabetology. 23(1). 256–256. 4 indexed citations

Schloot, Nanette C., et al.. (2022). Age‐dependent prevalence of type 2 diabetes, cardiovascular risk profiles and use of diabetes drugs in Germany using health claims data. Diabetes Obesity and Metabolism. 25(3). 767–775. 4 indexed citations

Maalmi, Haïfa, Sandra Trenkamp, Oana‐Patricia Zaharia, et al.. (2021). Leukocyte Counts and T-Cell Frequencies Differ Between Novel Subgroups of Diabetes and Are Associated With Metabolic Parameters and Biomarkers of Inflammation. Diabetes. 70(11). 2652–2662. 24 indexed citations

Bue‐Valleskey, Juliana, Leslie J. Klaff, Mary Anne Dellva, et al.. (2021). Long-Term Efficacy and Safety of Ultra Rapid Lispro (URLi) in Adults with Type 1 Diabetes: The PRONTO-T1D Extension. Diabetes Therapy. 12(2). 569–580. 9 indexed citations

Kolb, Hubert, et al.. (2021). Ketone bodies: from enemy to friend and guardian angel. BMC Medicine. 19(1). 313–313. 222 indexed citations breakdown →

Chen, Jieling, Magaly Perez‐Nieves, Erik Spaepen, et al.. (2020). An assessment of physician reasons for prescribing Insulin Lispro 200 units/ml in Germany. Postgraduate Medicine. 132(8). 727–736.

Mishra, Rajashree, Jonathan P. Bradfield, Diana L. Cousminer, et al.. (2018). Genetic Discrimination between LADA and Type 1 Diabetes within the MHC. Queen Mary Research Online (Queen Mary University of London). 1 indexed citations

10.

Burkart, Volker, Klaus Straßburger, Daniel F. Markgraf, et al.. (2018). Inverse association of insulin antibody levels with insulin sensitivity in adults with Type 1 diabetes. Diabetic Medicine. 35(5). 595–601. 10 indexed citations

11.

Schloot, Nanette C., Minh N. Pham, Mohammed I. Hawa, et al.. (2016). Inverse Relationship Between Organ-Specific Autoantibodies and Systemic Immune Mediators in Type 1 Diabetes and Type 2 Diabetes: Action LADA 11. Diabetes Care. 39(11). 1932–1939. 30 indexed citations

12.

Schloot, Nanette C.. (2016). Weniger Hypoglykämie mit Flash-Glukose-Messung. 10(6). 23–23.

13.

Nowotny, Bettina, P. Nowotny, Christian Herder, et al.. (2013). Mechanisms Underlying the Onset of Oral Lipid–Induced Skeletal Muscle Insulin Resistance in Humans. Diabetes. 62(7). 2240–2248. 93 indexed citations

14.

James, Eddie A., Roberto Mallone, Nanette C. Schloot, et al.. (2011). Immunology of Diabetes Society T‐Cell Workshop: HLA class II tetramer‐directed epitope validation initiative. Diabetes/Metabolism Research and Reviews. 27(8). 727–736. 20 indexed citations

15.

Martin, Stéphan, Christian Herder, Nanette C. Schloot, et al.. (2011). Residual Beta Cell Function in Newly Diagnosed Type 1 Diabetes after Treatment with Atorvastatin: The Randomized DIATOR Trial. PLoS ONE. 6(3). e17554–e17554. 17 indexed citations

16.

Menge, Til, Nanette C. Schloot, M. Schott, et al.. (2009). INTERFERON BETA TREATMENT DOES NOT INDUCE ORGAN-SPECIFIC AUTOANTIBODIES IN MULTIPLE SCLEROSIS. Neurology. 73(11). 900–902. 1 indexed citations

17.

Schloot, Nanette C., Guido Meierhoff, Csaba Lengyel, et al.. (2006). Effect of heat shock protein peptide DiaPep277 on ß‐cell function in paediatric and adult patients with recent‐onset diabetes mellitus type 1: two prospective, randomized, double‐blind phase II trials. Diabetes/Metabolism Research and Reviews. 23(4). 276–285. 76 indexed citations

18.

Schloot, Nanette C., Valéria Kecskeméti, Nóra Hosszúfalusi, et al.. (2005). Th1 and Th2 cell responses of type 1 diabetes patients and healthy controls to human heat-shock protein 60 peptides AA437-460 and AA394-408. Inflammation Research. 54(10). 415–419. 12 indexed citations

19.

Schloot, Nanette C., Guido Meierhoff, Patrick A. Ott, et al.. (2003). Comparison of cytokine ELISpot assay formats for the detection of islet antigen autoreactive T cells. Journal of Autoimmunity. 21(4). 365–376. 63 indexed citations

20.

Schloot, Nanette C., Bart O. Roep, Dale R. Wegmann, et al.. (1997). Altered immune response to insulin in newly diagnosed compared to insulin-treated diabetic patients and healthy control subjects. Diabetologia. 40(5). 564–572. 69 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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