Maxwell A. Ruby

1.0k citations
14 papers · 811 · h-index 10

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

14 papers receiving 804 citations

Peers

Maxwell A. Ruby
Comparison fields: 5 of 84
  • Aging 67
  • Physiology 302
  • Endocrine and Autonomic Systems 60
  • Biochemistry 52
  • Pharmacology 107
Replace Jelena Tadić with:
Jelena Tadić Austria
Sanjib K Guha United States
Alejandro Silva‐Palacios Mexico
Nadja Schulz Germany
Jill M. Schimke United States
Laurence Pessemesse France
Patrícia Cristine Borck Brazil
Yury G. Kaminsky Russia
Alessio Donati Italy
Yuting Wu China
Maxwell A. Ruby relative to Jelena Tadić Austria Jelena Tadić's profile →
Citations per field
00.5×2×3×3.6×
Jelena Tadić · 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

14 of 14 papers shown
#Work
1 2009264
2 2017114
3 2016112
4 201385
5 201065
6 200856
7 202333
8 201124
9 201719
10 202215
11 20169
12 20238
13 20186
14 20251

About Maxwell A. Ruby

Maxwell A. Ruby is a scholar working on Endocrinology, Diabetes and Metabolism, Pharmacology, Surgery, Cell Biology and Physiology, having authored 14 papers that have together received 811 indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (3 papers), Pancreatic function and diabetes (3 papers), Diet, Metabolism, and Disease (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Genetics and Neurodevelopmental Disorders (1 paper), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper), Dietary Effects on Health (1 paper) and Lipid metabolism and biosynthesis (1 paper). The work is most often cited by research in Aging (67 citations), Physiology (302 citations), Endocrine and Autonomic Systems (60 citations), Biochemistry (52 citations) and Pharmacology (107 citations). Maxwell A. Ruby has collaborated with scholars based in United States, United Kingdom and Denmark. Frequent co-authors include Ishita Aggarwal, Cyrus F. Khambatta, Matthew D. Bruss, Marc K. Hellerstein, Juleen Rae Zierath, Daniel K. Nomura, Ronald M. Krauss, Erik B. Näslund, Milena Schönke and Paul Joseph Arciero. Their work appears in journals such as American Journal of Physiology-Endocrinology and Metabolism, JHEP Reports, Journal of Lipid Research, Biomedicines 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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