Alexander Leichtle
Impact in
- Health Informatics top 1%
- Nephrology top 2%
- Parathyroid Disorders and Treatments
Papers in
-
- Metabolomics and Mass Spectrometry Studies 13
- Epidemiology 11
- Sepsis Diagnosis and Treatment 4
- Co-authors
- Martin Fiedler (58 shared papers)Joachim Thiery (22 shared papers)Uta Ceglarek (16 shared papers)Aristomenis K. Exadaktylos (24 shared papers)Gregor Lindner (20 shared papers)Sven Baumann (8 shared papers)Christoph Schwarz (9 shared papers)Julia Kase (4 shared papers)
- Journals
- PLoS ONE (13 papers)Metabolomics (6 papers)Clinical Chemistry (3 papers)Journal of Medical Internet Research (2 papers)Circulation (2 papers)
- Partner nations
- SwitzerlandGermanyAustria
In The Last Decade
Alexander Leichtle
108 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 162
- Health Informatics 100
- Nephrology 221
- Spectroscopy 485
- Endocrinology, Diabetes and Metabolism 336
- Ophthalmology 141
Countries citing papers authored by Alexander Leichtle
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
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-authors
The 25 scholars most cited alongside Alexander Leichtle, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 112 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 199 | |
| 2 | 2005 | 182 | |
| 3 | 2017 | 171 | |
| 4 | 2013 | 154 | |
| 5 | 2007 | 146 | |
| 6 | 2004 | 134 | |
| 7 | 2011 | 112 | |
| 8 | 2008 | 107 | |
| 9 | 2019 | 101 | |
| 10 | 2012 | 98 | |
| 11 | 2009 | 95 | |
| 12 | 2008 | 95 | |
| 13 | 2014 | 93 | |
| 14 | 2009 | 92 | |
| 15 | 2013 | 68 | |
| 16 | 2015 | 58 | |
| 17 | 2016 | 52 | |
| 18 | 2012 | 52 | |
| 19 | 2013 | 51 | |
| 20 | 2013 | 51 |
About Alexander Leichtle
Alexander Leichtle is a scholar working on Molecular Biology, Epidemiology, Physiology, Spectroscopy and Surgery, having authored 112 papers that have together received 3.4k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (13 papers), Clinical Laboratory Practices and Quality Control (10 papers), Advanced Proteomics Techniques and Applications (6 papers), Mass Spectrometry Techniques and Applications (6 papers), Statistical Methods in Clinical Trials (5 papers), Parathyroid Disorders and Treatments (5 papers), Renal Transplantation Outcomes and Treatments (4 papers) and Sepsis Diagnosis and Treatment (4 papers). The work is most often cited by research in Health Informatics (100 citations), Nephrology (221 citations), Spectroscopy (485 citations), Endocrinology, Diabetes and Metabolism (336 citations) and Ophthalmology (141 citations). Alexander Leichtle has collaborated with scholars based in Switzerland, Germany and Austria. Frequent co-authors include Martin Fiedler, Joachim Thiery, Uta Ceglarek, Aristomenis K. Exadaktylos, Gregor Lindner, Sven Baumann, Christoph Schwarz, Julia Kase, Christos T. Nakas and Georg‐Christian Funk. Their work appears in journals such as PLoS ONE, Metabolomics, Clinical Chemistry, Journal of Medical Internet Research and Circulation.
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.