Alexander Leichtle

5.1k total citations
111 papers, 3.2k citations indexed

About

Alexander Leichtle is a scholar working on Molecular Biology, Epidemiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Alexander Leichtle has authored 111 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 21 papers in Epidemiology and 18 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Alexander Leichtle's work include Metabolomics and Mass Spectrometry Studies (15 papers), Clinical Laboratory Practices and Quality Control (12 papers) and Electrolyte and hormonal disorders (10 papers). Alexander Leichtle is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (15 papers), Clinical Laboratory Practices and Quality Control (12 papers) and Electrolyte and hormonal disorders (10 papers). Alexander Leichtle collaborates with scholars based in Switzerland, Germany and Austria. Alexander Leichtle's co-authors include Martin Fiedler, Joachim Thiery, Uta Ceglarek, Aristomenis K. Exadaktylos, Gregor Lindner, Sven Baumann, Christoph Schwarz, Julia Kase, Georg‐Christian Funk and Christos T. Nakas and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Alexander Leichtle

106 papers receiving 3.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexander Leichtle Switzerland 32 1.1k 460 435 377 370 111 3.2k
Otto Bekers Netherlands 31 459 0.4× 149 0.3× 496 1.1× 379 1.0× 229 0.6× 139 3.1k
Joachim Jankowski Germany 36 1.4k 1.3× 387 0.8× 465 1.1× 537 1.4× 718 1.9× 166 5.2k
Christa M. Cobbaert Netherlands 35 639 0.6× 323 0.7× 227 0.5× 872 2.3× 819 2.2× 221 4.1k
James Suliburk United States 30 426 0.4× 353 0.8× 325 0.7× 161 0.4× 180 0.5× 94 2.6k
Jérôme Biollaz Switzerland 41 1.2k 1.1× 105 0.2× 415 1.0× 273 0.7× 714 1.9× 155 6.1k
Eberhard Wieland Germany 38 1.2k 1.1× 86 0.2× 190 0.4× 250 0.7× 195 0.5× 132 4.6k
Richard N. Upton Australia 36 543 0.5× 122 0.3× 415 1.0× 405 1.1× 118 0.3× 190 5.3k
In‐Jin Jang South Korea 40 1.5k 1.3× 115 0.3× 620 1.4× 283 0.8× 571 1.5× 306 5.9k
E. Niclas Jonsson Sweden 37 754 0.7× 89 0.2× 728 1.7× 717 1.9× 341 0.9× 90 6.1k
Suodi Zhai China 32 772 0.7× 87 0.2× 277 0.6× 174 0.5× 778 2.1× 181 3.5k

Countries citing papers authored by Alexander Leichtle

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Leichtle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Leichtle

This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Leichtle. A scholar is included among the top collaborators of Alexander Leichtle 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 Alexander Leichtle. Alexander Leichtle 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
1.
Tian, Yuan, Anna Mallone, Michael Koller, et al.. (2025). Enhancing post-kidney transplant prognostication: an interpretable machine learning approach for longitudinal outcome prediction. npj Digital Medicine. 8(1). 684–684. 1 indexed citations
2.
Nakas, Christos T., et al.. (2024). Direct, age- and gender-specific reference intervals: applying a modified M-estimator of the Yeo-Johnson transformation to clinical real-world data. Journal of Laboratory Medicine. 48(5). 239–250. 1 indexed citations
3.
Pradervand, Sylvain, Rita Achermann, Simon Haefliger, et al.. (2024). Real-world occurrence, therapy, and outcome of patients with class 2 or 3 BRAF compared with class 1 BRAF-mutated cancers. SHILAP Revista de lepidopterología. 6. 100075–100075. 1 indexed citations
4.
Nakas, Christos T., et al.. (2023). Deployment of an Automated Method Verification-Graphical User Interface (MV-GUI) Software. SHILAP Revista de lepidopterología. 3(3). 632–648. 1 indexed citations
5.
Witte, Harald, et al.. (2023). The BioRef Infrastructure, a Framework for Real-Time, Federated, Privacy-Preserving, and Personalized Reference Intervals: Design, Development, and Application. Journal of Medical Internet Research. 25. e47254–e47254. 1 indexed citations
6.
Witte, Harald, et al.. (2023). Statistical learning and big data applications. Journal of Laboratory Medicine. 47(4). 181–186. 6 indexed citations
7.
Leichtle, Alexander, Sabina Berezowska, Sabina A. Guler, et al.. (2023). Signs of Alveolar Collapse in Idiopathic Pulmonary Fibrosis, Hypersensitivity Pneumonitis and Systemic Sclerosis Revealed by Inspiration and Expiration Computed Tomography. SHILAP Revista de lepidopterología. 3(4). 471–483. 2 indexed citations
8.
9.
Witte, Harald, Christos T. Nakas, Lia Bally, & Alexander Leichtle. (2022). Machine Learning Prediction of Hypoglycemia and Hyperglycemia From Electronic Health Records: Algorithm Development and Validation. JMIR Formative Research. 6(7). e36176–e36176. 18 indexed citations
10.
Witte, Harald, et al.. (2022). Big Data in Laboratory Medicine—FAIR Quality for AI?. Diagnostics. 12(8). 1923–1923. 22 indexed citations
11.
Bietenbeck, Andreas, Janne Cadamuro, Stefan Holdenrieder, et al.. (2021). Requirements for electronic laboratory reports according to the German guideline Rili-BAEK and ISO 15189. SHILAP Revista de lepidopterología. 45(4-5). 197–203. 3 indexed citations
12.
Musy, Sarah N, Olga Endrich, Alexander Leichtle, et al.. (2021). The association between nurse staffing and inpatient mortality: A shift-level retrospective longitudinal study. International Journal of Nursing Studies. 120. 103950–103950. 42 indexed citations
13.
Musy, Sarah N, Olga Endrich, Alexander Leichtle, et al.. (2020). Longitudinal Study of the Variation in Patient Turnover and Patient-to-Nurse Ratio: Descriptive Analysis of a Swiss University Hospital. Journal of Medical Internet Research. 22(4). e15554–e15554. 18 indexed citations
14.
Leichtle, Alexander, et al.. (2020). Effects of Freezing and Thawing Procedures on Selected Clinical Chemistry Parameters in Plasma. Biopreservation and Biobanking. 18(4). 297–304. 1 indexed citations
15.
Raisaro, Jean Louis, Juan Ramón Troncoso-Pastoriza, Sylvain Pradervand, et al.. (2020). SPHN/PHRT – MedCo in Action: Empowering the Swiss Molecular Tumor Board with Privacy-Preserving and Real-Time Patient Discovery. Studies in health technology and informatics. 270. 1161–1162. 1 indexed citations
16.
Arnold, Markus, Christos T. Nakas, Andreas R. Luft, et al.. (2020). Independent Prognostic Value of MRproANP (Midregional Proatrial Natriuretic Peptide) Levels in Patients With Stroke Is Unaltered Over Time. Stroke. 51(6). 1873–1875. 11 indexed citations
17.
Dhayat, Nasser A., Menno Pruijm, Belén Ponte, et al.. (2019). Parathyroid Hormone and Plasma Phosphate Are Predictors of Soluble α-Klotho Levels in Adults of European Descent. The Journal of Clinical Endocrinology & Metabolism. 105(4). e1135–e1143. 7 indexed citations
18.
Herzig, David, Christos T. Nakas, Christophe Kosinski, et al.. (2019). Volumetric Food Quantification Using Computer Vision on a Depth-Sensing Smartphone: Preclinical Study. JMIR mhealth and uhealth. 8(3). e15294–e15294. 23 indexed citations
19.
Fiedler, Martin, Alexander Leichtle, Julia Kase, et al.. (2009). Serum Peptidome Profiling Revealed Platelet Factor 4 as a Potential Discriminating Peptide Associated with Pancreatic Cancer. Clinical Cancer Research. 15(11). 3812–3819. 91 indexed citations
20.
Thiery, Joachim, Uta Ceglarek, Martin Fiedler, et al.. (2006). Abstract 4099: Elevated Campesterol Serum Levels - a Significant Predictor of Incident Myocardial Infarction: Results of the Population-based MONICA/KORA Follow-up Study 1994 to 2005. Circulation. 114. 11 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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