Amber L. Mueller

1.7k citations
16 papers · 988 indexed · 1 hit paper · h-index 9

Impact in

Papers in

Amber L. Mueller

16 papers receiving 975 citations

Hit Papers

Why does COVID-19 disproportionately affect older people? 2020 · 683 citations
6832020202620222024200400600

Peers

Amber L. Mueller
Comparison fields: 5 of 122
  • Modeling and Simulation 98
  • Infectious Diseases 323
  • Health 104
  • Neurology 179
  • Neuropsychology and Physiological Psychology 10
Replace Dominik Menges with:
Dominik Menges Switzerland
Faming Zhao China
Naomi Ito Japan
Mohammad Adawi Israel
Bei Liu China
Wenjing Gao China
Yongan Sun China
Jessica L. Rohmann Germany
Hussein Algahtani Saudi Arabia
Carmen Cecilia Laborde-Cárdenas Colombia
Amber L. Mueller relative to Dominik Menges Switzerland Dominik Menges's profile →
Citations per field
00.5×5.3×
Dominik Menges · 1×
Citations per year

Countries citing papers authored by Amber L. Mueller

Since Specialization
Citations

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

Fields of papers citing papers by Amber L. Mueller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amber L. Mueller. 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 Amber L. Mueller. The network helps show where Amber L. Mueller may publish in the future.

Co-authors

The 25 scholars most cited alongside Amber L. Mueller, 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 Amber L. Mueller Line = papers co-authored together Amber L. Mueller links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 20241
2 20241
3 20242
4 202338
5 20228
6
Why does COVID-19 disproportionately affect older people?
Hit paper breakdown →
2020683
7 201916
8 201926
9 20187
10 20169
11 201529
12 201524
13 20151
14 20145
15 2013105
16 200133

About Amber L. Mueller

Amber L. Mueller is a scholar working on Aging, Physiology, Molecular Biology, Cellular and Molecular Neuroscience and Rehabilitation, having authored 16 papers that have together received 988 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (10 papers), Adipose Tissue and Metabolism (5 papers), Tissue Engineering and Regenerative Medicine (4 papers), Cardiomyopathy and Myosin Studies (2 papers), Genetic Neurodegenerative Diseases (2 papers), Immune Cell Function and Interaction (1 paper), Long-Term Effects of COVID-19 (1 paper) and Nerve injury and regeneration (1 paper). The work is most often cited by research in Modeling and Simulation (98 citations), Infectious Diseases (323 citations), Health (104 citations), Neurology (179 citations) and Neuropsychology and Physiological Psychology (10 citations). Amber L. Mueller has collaborated with scholars based in United States, Greece and Netherlands. Frequent co-authors include David Sinclair, Maeve S. McNamara, Robert J. Bloch, Joseph A. Roche, Steven S. Vogel, Andrew P. Ziman, Christopher W. Ward, Jessica Gumerson, Joaquin M. Muriel and Jaclyn P. Kerr. Their work appears in journals such as Experimental Neurology, Aging, Cell Transplantation, Skeletal Muscle and Muscle & Nerve.

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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