Markus Laimer

3.5k total citations
87 papers, 2.3k citations indexed

About

Markus Laimer is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Markus Laimer has authored 87 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Endocrinology, Diabetes and Metabolism, 33 papers in Surgery and 23 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Markus Laimer's work include Diabetes Management and Research (31 papers), Diabetes Treatment and Management (21 papers) and Pancreatic function and diabetes (15 papers). Markus Laimer is often cited by papers focused on Diabetes Management and Research (31 papers), Diabetes Treatment and Management (21 papers) and Pancreatic function and diabetes (15 papers). Markus Laimer collaborates with scholars based in Switzerland, Austria and Germany. Markus Laimer's co-authors include Christoph Ebenbichler, Susanne Kaser, Josef R. Patsch, Julia Engl, A. Sandhofer, Alexander Tschoner, Andreas Melmer, Christoph Stettler, H. Weiß and Helmut Weiß and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Markus Laimer

82 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Markus Laimer Switzerland 30 796 634 564 456 429 87 2.3k
Leena Moilanen Finland 27 940 1.2× 536 0.8× 514 0.9× 410 0.9× 578 1.3× 67 2.5k
Koichi Kozaki Japan 34 543 0.7× 648 1.0× 917 1.6× 423 0.9× 1000 2.3× 129 3.7k
Yoichiro Hirakawa Japan 35 989 1.2× 822 1.3× 582 1.0× 642 1.4× 945 2.2× 116 4.1k
Stig Attvall Sweden 27 1.5k 1.8× 698 1.1× 493 0.9× 356 0.8× 538 1.3× 68 2.6k
Medha Munshi United States 29 2.3k 2.9× 774 1.2× 482 0.9× 693 1.5× 326 0.8× 97 3.8k
Patrice Darmon France 27 619 0.8× 1.1k 1.8× 420 0.7× 323 0.7× 293 0.7× 86 2.7k
Sofia Carlsson Sweden 32 994 1.2× 449 0.7× 457 0.8× 427 0.9× 194 0.5× 108 3.0k
Ken Sugimoto Japan 32 568 0.7× 1.0k 1.6× 448 0.8× 763 1.7× 1.1k 2.5× 132 3.8k
Jeffrey I. Mechanick United States 12 2.1k 2.7× 699 1.1× 578 1.0× 311 0.7× 235 0.5× 19 3.6k
Tali Cukierman‐Yaffe Israel 23 779 1.0× 463 0.7× 273 0.5× 283 0.6× 250 0.6× 86 2.1k

Countries citing papers authored by Markus Laimer

Since Specialization
Citations

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

Fields of papers citing papers by Markus Laimer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Laimer

This figure shows the co-authorship network connecting the top 25 collaborators of Markus Laimer. A scholar is included among the top collaborators of Markus Laimer 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 Markus Laimer. Markus Laimer 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
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Zueger, Thomas, Mathias Kraus, Stefan Feuerriegel, et al.. (2024). Machine Learning to Infer a Health State Using Biomedical Signals — Detection of Hypoglycemia in People with Diabetes while Driving Real Cars. NEJM AI. 1(3). 2 indexed citations
4.
Hossmann, Stefanie, et al.. (2024). Detection of hypoglycaemia in type 1 diabetes through breath volatile organic compound profiling using gas chromatography–ion mobility spectrometry. Diabetes Obesity and Metabolism. 26(12). 5737–5744. 6 indexed citations
5.
Gastaldi, Giacomo, Sébastien Thalmann, Markus Laimer, et al.. (2023). Swiss recommendations of the Society for Endocrinology and Diabetes (SGED/SSED) for the treatment of type 2 diabetes mellitus (2023). Swiss Medical Weekly. 153(4). 40060–40060. 15 indexed citations
6.
Bertschi, Nicole, Andrea Felser, Irene Keller, et al.. (2023). PPAR-γ regulates the effector function of human T helper 9 cells by promoting glycolysis. Nature Communications. 14(1). 2471–2471. 26 indexed citations
7.
Zueger, Thomas, Mathias Kraus, Stefan Feuerriegel, et al.. (2023). Machine learning for non‐invasive sensing of hypoglycaemia while driving in people with diabetes. Diabetes Obesity and Metabolism. 25(6). 1668–1676. 7 indexed citations
8.
Salvador, Dante, Arjola Bano, Faina Wehrli, et al.. (2023). Impact of type 2 diabetes on life expectancy and role of kidney disease among inpatients with heart failure in Switzerland: an ambispective cohort study. Cardiovascular Diabetology. 22(1). 174–174. 2 indexed citations
9.
Lanzinger, Stefanie, F. Best, Tanja Bergmann, et al.. (2022). Dynamics of Hemoglobin A1c, Body Mass Index, and Rates of Severe Hypoglycemia in 4434 Adults with Type 1 or Type 2 Diabetes After Initiation of Continuous Glucose Monitoring. Diabetes Technology & Therapeutics. 24(10). 763–769. 6 indexed citations
10.
Schönenberger, Katja A., Emilie Reber, Annic Baumgartner, et al.. (2022). Management of Hyperglycemia in Hospitalized Patients Receiving Parenteral Nutrition. SHILAP Revista de lepidopterología. 3. 829412–829412. 6 indexed citations
11.
Scott, Sam N., et al.. (2021). Use and Perception of Telemedicine in People with Type 1 Diabetes During the COVID-19 Pandemic: A 1-Year Follow-Up. Diabetes Technology & Therapeutics. 24(4). 276–280. 18 indexed citations
12.
Schütz-Fuhrmann, Ingrid, Birgit Rami‐Merhar, Sabine E. Hofer, et al.. (2019). Kontinuierliche Glukosemessung (CGM – Continuous Glucose Monitoring) bei Diabetes mellitus (Update 2019). Wiener klinische Wochenschrift. 131(S1). 119–123.
13.
Pjanic, Irena, et al.. (2017). Evaluation of a multiprofessional, nonsurgical obesity treatment program: which parameters indicated life style changes and weight loss?. Journal of Eating Disorders. 5(1). 14–14. 11 indexed citations
14.
Melmer, Andreas & Markus Laimer. (2016). Treatment Goals in Diabetes. Endocrine development. 31. 1–27. 35 indexed citations
15.
Zueger, Thomas, et al.. (2014). Utility of 30 and 60 minute cortisol samples after high-dose synthetic ACTH1–24 injection in the diagnosis of adrenal insufficiency. Swiss Medical Weekly. 144(2930). w13987–w13987. 11 indexed citations
16.
Ress, Claudia, Alexander Tschoner, Christian Ciardi, et al.. (2010). Influence of significant weight loss on serum matrix metalloproteinase (MMP)-7 levels. European Cytokine Network. 21(1). 65–70. 32 indexed citations
17.
Tschoner, Alexander, Wolfgang Sturm, Julia Engl, et al.. (2008). Retinol‐binding Protein 4, Visceral Fat, and the Metabolic Syndrome: Effects of Weight Loss. Obesity. 16(11). 2439–2444. 59 indexed citations
18.
Rauchenzauner, Markus, Markus Laimer, Gerhard Luef, et al.. (2008). Adiponectin receptor R1 is upregulated by valproic acid but not by topiramate in human hepatoma cell line, HepG2. Seizure. 17(8). 723–726. 12 indexed citations
19.
Rauchenzauner, Markus, Edda Haberlandt, Stefanie Foerster, et al.. (2006). Brain‐type Natriuretic Peptide Secretion Following Febrile and Afebrile Seizures—A New Marker in Childhood Epilepsy?. Epilepsia. 48(1). 101–106. 22 indexed citations
20.
Engl, Julia, Alexander Tschoner, Markus Laimer, et al.. (2006). Metabolische Nebenwirkungen von Antipsychotika der neuen Generation. Wiener klinische Wochenschrift. 118(7-8). 196–206. 2 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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