A. Müller

92 papers receiving 2.0k citations

Peers

A. Müller
Comparison fields: 5 of 164
  • Medical Laboratory Technology 102
  • Biological Psychiatry 72
  • Developmental Neuroscience 102
  • Neurology 187
  • Safety, Risk, Reliability and Quality 195
Replace Pradeep Banerjee with:
Pradeep Banerjee United States
Andrew J. Shepherd United States
Tobias Jung Germany
Robin A. Felder United States
Per Johansson Sweden
Rajendra Kumar Shukla India
Alessandro Bartolini Italy
Yongqing Zhang China
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Citations per field
00.5×4.3×
Pradeep Banerjee · 1×
Citations per year

Countries citing papers authored by A. Müller

Since Specialization
Citations

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

Fields of papers citing papers by A. Müller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside A. Müller, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with A. Müller Line = papers co-authored together A. Müller links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007280
2 2007145
3 2017109
4 2019101
5 201692
6 201076
7 201070
8 201168
9 201747
10 200544
11 201539
12 201438
13 201332
14 202029
15 201729
16 200828
17 202028
18 201828
19 201428
20 201027

About A. Müller

A. Müller is a scholar working on Physiology, Molecular Biology, Cellular and Molecular Neuroscience, Neurology and Endocrinology, Diabetes and Metabolism, having authored 99 papers that have together received 2.1k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (11 papers), Mitochondrial Function and Pathology (9 papers), Alzheimer's disease research and treatments (9 papers), Diet and metabolism studies (9 papers), Neuroinflammation and Neurodegeneration Mechanisms (8 papers), Adipose Tissue and Metabolism (7 papers), Metabolism and Genetic Disorders (7 papers) and Reliability and Maintenance Optimization (6 papers). The work is most often cited by research in Medical Laboratory Technology (102 citations), Biological Psychiatry (72 citations), Developmental Neuroscience (102 citations), Neurology (187 citations) and Safety, Risk, Reliability and Quality (195 citations). A. Müller has collaborated with scholars based in Brazil, Germany and United States. Frequent co-authors include Adolfo Crespo Márquez, Luis Valmor Portela, Marie‐Christine Suhner, Diogo O. Souza, Eduardo R. Zimmer, Ignacio Torres‐Alemán, Clarissa Branco Haas, Paulo César Lock Silveira, Gustavo de Bem Silveira and Cláudio Teodoro de Souza. Their work appears in journals such as Molecular Neurobiology, Neurochemical Research, Experimental Biology and Medicine, Nutrients and Reliability Engineering & System Safety.

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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