Maxwell A. Ruby

970 citations
13 papers · 710 · h-index 9

Impact in

  • Aging top 5%
    • Genetics, Aging, and Longevity in Model Organisms
  • Physiology top 10%
    • Adipose Tissue and Metabolism
    • Diet and metabolism studies
    • Dietary Effects on Health

Papers in

Maxwell A. Ruby

12 papers receiving 706 citations

Peers

Maxwell A. Ruby
Comparison fields: 5 of 85
  • Aging 61
  • Physiology 326
  • Endocrine and Autonomic Systems 65
  • Biochemistry 52
  • Pharmacology 100
Replace Milena Schönke with:
Milena Schönke Netherlands
Sanjib Guha United States
Patrícia Cristine Borck Brazil
Alessio Donati Italy
Joan Prat Spain
Laura A. Forney United States
Katarzyna Winiarska Poland
Fernando Escrivá Spain
João Miguel Carvas Switzerland
Yu-Kun Jennifer Zhang United States
Maxwell A. Ruby relative to Milena Schönke Netherlands Milena Schönke's profile →
Citations per field
00.5×5.7×
Milena Schönke · 1×
Citations per year

Countries citing papers authored by Maxwell A. Ruby

Since Specialization
Citations

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

Fields of papers citing papers by Maxwell A. Ruby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2009242
2 2017106
3 2016101
4 201381
5 201060
6 200853
7 201122
8 201714
9 202211
10 20168
11 20237
12 20185
13 20250

About Maxwell A. Ruby

Maxwell A. Ruby is a scholar working on Molecular Biology, Cell Biology, Physiology, Surgery and Pharmacology, having authored 13 papers that have together received 710 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (3 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Cannabis and Cannabinoid Research (3 papers), Diet, Metabolism, and Disease (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Lipid metabolism and biosynthesis (2 papers), Muscle metabolism and nutrition (2 papers) and Diet and metabolism studies (2 papers). The work is most often cited by research in Aging (61 citations), Physiology (326 citations), Endocrine and Autonomic Systems (65 citations), Biochemistry (52 citations) and Pharmacology (100 citations). Maxwell A. Ruby has collaborated with scholars based in United States, Sweden and United Kingdom. Frequent co-authors include Marc K. Hellerstein, Matthew D. Bruss, Cyrus F. Khambatta, Ishita Aggarwal, Juleen R. Zierath, Daniel K. Nomura, Ronald M. Krauss, Milena Schönke, Erik Näslund and Paul J. Arciero. Their work appears in journals such as American Journal of Physiology-Endocrinology and Metabolism, Journal of Lipid Research, Diabetes, Cell Reports and Journal of Physical Activity and Health.

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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