Caitlin M. Daimon

972 citations
28 papers · 761 · h-index 17

Impact in

Papers in

Caitlin M. Daimon

28 papers receiving 755 citations

Peers

Caitlin M. Daimon
Comparison fields: 5 of 107
  • Endocrine and Autonomic Systems 154
  • Aging 24
  • Sensory Systems 53
  • Cellular and Molecular Neuroscience 204
  • Nutrition and Dietetics 116
Replace Ian J. Orozco with:
Ian J. Orozco United States
Wei‐na Cong United States
Valentina Ghisi United States
Heming Zhu United States
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Subramaniam Apparsundaram United States
A.J. Lança Canada
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Caitlin M. Daimon relative to Ian J. Orozco United States Ian J. Orozco's profile →
Citations per field
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Citations per year

Countries citing papers authored by Caitlin M. Daimon

Since Specialization
Citations

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

Fields of papers citing papers by Caitlin M. Daimon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Caitlin M. Daimon. 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 Caitlin M. Daimon. The network helps show where Caitlin M. Daimon may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201393
2 201461
3 201354
4 201351
5 201550
6 201338
7 201338
8 201235
9 201430
10 201229
11 201525
12 201625
13 201224
14 201222
15 201322
16 201720
17 201419
18 201716
19 201313
20 202213

About Caitlin M. Daimon

Caitlin M. Daimon is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems, Nutrition and Dietetics and Physiology, having authored 28 papers that have together received 761 indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (8 papers), Biochemical Analysis and Sensing Techniques (7 papers), Genetic Neurodegenerative Diseases (5 papers), Adipose Tissue and Metabolism (4 papers), Mitochondrial Function and Pathology (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Single-cell and spatial transcriptomics (3 papers) and Circadian rhythm and melatonin (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (154 citations), Aging (24 citations), Sensory Systems (53 citations), Cellular and Molecular Neuroscience (204 citations) and Nutrition and Dietetics (116 citations). Caitlin M. Daimon has collaborated with scholars based in United States, Belgium and Germany. Frequent co-authors include Stuart Maudsley, Bronwen Martin, Huan Cai, Wei‐na Cong, William H. Wood, Kevin G. Becker, Hongyu Chen, Sana Siddiqui, Shane T. Hentges and Joan Jasien. Their work appears in journals such as PLoS ONE, Frontiers in Physiology, Journal of Biological Chemistry, Frontiers in Endocrinology and American Journal of Physiology-Regulatory, Integrative and Comparative Physiology.

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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