Martin Müller
- Molecular Biology
- Sociology and Political Science
- Artificial Intelligence top 10%
- Physiology
- Health top 10%
- Co-authors
- Marcel SalathéPer Egil KummervoldS. RapoportWolfgang DubielMartin D. BrandFrank ButtgereitM. A. SleighK Vickerman
- Topics
- Mitochondrial Function and Pathology (8 papers)Misinformation and Its Impacts (6 papers)Metabolism and Genetic Disorders (6 papers)
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Martin Müller
23 papers receiving 480 citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Molecular Biology 179
- Sociology and Political Science 105
- Artificial Intelligence 99
- Physiology 60
- Health 58
Countries citing papers authored by Martin Müller
This map shows the geographic impact of Martin Müller'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 Martin Müller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Müller more than expected).
Fields of papers citing papers by Martin Müller
This network shows the impact of papers produced by Martin Müller. 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 Martin Müller. The network helps show where Martin Müller may publish in the future.
Co-authorship network of co-authors of Martin Müller
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Müller. A scholar is included among the top collaborators of Martin Müller 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 Martin Müller. Martin Müller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | COVID-Twitter-BERT: A natural language processing model to analyse COVID-19 content on Twitterbreakdown → | 79 |
| 2 | 17 | |
| 3 | 28 | |
| 4 | 35 | |
| 5 | 19 | |
| 6 | 39 | |
| 7 | Enzymes and compartmentation of core energy metabolism of anaerobic protists - a special case in eukaryotic evolution? | 59 |
| 8 | 14 | |
| 9 | 37 | |
| 10 | 24 | |
| 11 | Stimulation of rat red blood cell glycolysis by phenylhydrazine hydrochloride. | 5 |
| 12 | 9 | |
| 13 | Kinetic studies on the ATP- and ubiquitin-dependent proteolytic system of reticulocytes. | 1 |
| 14 | 2 | |
| 15 | 57 | |
| 16 | 3 | |
| 17 | [Semisynthetic penicillins and cephalosporins inhibit in vitro myelopoiesis in a dose-dependent manner]. | 1 |
| 18 | 22 | |
| 19 | 2 | |
| 20 | [Studies on L-serine metabolism in reticulocytes]. | 2 |
About Martin Müller
Martin Müller is a scholar working on Clinical Biochemistry, Biochemistry and Physical and Theoretical Chemistry, having authored 23 papers that have together received 504 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (8 papers), Misinformation and Its Impacts (6 papers) and Metabolism and Genetic Disorders (6 papers). The work is most often cited by research in Health (58 citations), Health Informatics (8 citations) and Clinical Biochemistry (32 citations). Martin Müller has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Marcel Salathé, Per Egil Kummervold, S. Rapoport, Wolfgang Dubiel, Martin D. Brand, Frank Buttgereit, M. A. Sleigh, K Vickerman, Alan J. Warren and Graham H. Coombs. Their work appears in journals such as FEBS Letters, European Journal of Biochemistry and Journal of Medical Internet Research.
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.