Collin M. Douglas

495 total citations
10 papers, 198 citations indexed

About

Collin M. Douglas is a scholar working on Molecular Biology, Endocrine and Autonomic Systems and Physiology. According to data from OpenAlex, Collin M. Douglas has authored 10 papers receiving a total of 198 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Endocrine and Autonomic Systems and 4 papers in Physiology. Recurrent topics in Collin M. Douglas's work include Circadian rhythm and melatonin (4 papers), Spaceflight effects on biology (3 papers) and Genetics, Aging, and Longevity in Model Organisms (3 papers). Collin M. Douglas is often cited by papers focused on Circadian rhythm and melatonin (4 papers), Spaceflight effects on biology (3 papers) and Genetics, Aging, and Longevity in Model Organisms (3 papers). Collin M. Douglas collaborates with scholars based in United States, Germany and France. Collin M. Douglas's co-authors include Karyn A. Esser, Miguel A. Gutierrez‐Monreal, Lance A. Riley, Xiping Zhang, Michael E. Hughes, Jiajia Li, Ming Gong, Christy M. Hoffmann, Scott A. Lewis and Nicholas F. Lahens and has published in prestigious journals such as PLoS ONE, PLoS Genetics and American Journal of Physiology-Cell Physiology.

In The Last Decade

Collin M. Douglas

9 papers receiving 197 citations

Peers

Collin M. Douglas

MB

PHYSI

EAS

CB

CMN

Elijah D. Lowenstein Germany

Miguel A. Gutierrez‐Monreal United States

Michael L. Rossetti United States

Thibaud Parpaite France

Estere Seinkmane United Kingdom

Yushi Redhead United Kingdom

Cameron Hill United Kingdom

Inés Marín Spain

Chan Hee J. Choi United States

Casper Soendenbroe Denmark

Elijah D. Lowenstein Germany

Collin M. Douglas

144 ×1.2

MB

41 ×0.5

PHYSI

17 ×0.5

EAS

15 ×0.6

CB

24 ×1.1

CMN

Citations per year, relative to Collin M. Douglas Collin M. Douglas (= 1×) peers Elijah D. Lowenstein

Countries citing papers authored by Collin M. Douglas

Since Specialization

Citations

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

Fields of papers citing papers by Collin M. Douglas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Collin M. Douglas

This figure shows the co-authorship network connecting the top 25 collaborators of Collin M. Douglas. A scholar is included among the top collaborators of Collin M. Douglas based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Collin M. Douglas. Collin M. Douglas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

1.

Zhang, Xiping, James Sanford, Joshua Hansen, et al.. (2025). Alterations of the skeletal muscle nuclear proteome after acute exercise reveals a post-transcriptional influence.. American Journal of Physiology-Cell Physiology. 329(3). C953–C971.

2.

Gutierrez‐Monreal, Miguel A., Christopher A. Wolff, Collin M. Douglas, et al.. (2024). Targeted Bmal1 restoration in muscle prolongs lifespan with systemic health effects in aging model. JCI Insight. 9(22). 15 indexed citations

3.

Douglas, Collin M., Jonathan E. Bird, Daniel Kopinke, & Karyn A. Esser. (2024). An optimized approach to study nanoscale sarcomere structure utilizing super-resolution microscopy with nanobodies. PLoS ONE. 19(4). e0300348–e0300348. 1 indexed citations

4.

Lim, Ji Ye, Eunju Kim, Collin M. Douglas, et al.. (2022). The circadian E3 ligase FBXL21 regulates myoblast differentiation and sarcomere architecture via MYOZ1 ubiquitination and NFAT signaling. PLoS Genetics. 18(12). e1010574–e1010574. 3 indexed citations

5.

Riley, Lance A., Xiping Zhang, Collin M. Douglas, et al.. (2022). The skeletal muscle circadian clock regulates titin splicing through RBM20. eLife. 11. 13 indexed citations

6.

Nair, Venugopalan D., Mital Vasoya, Gregory R. Smith, et al.. (2022). Optimization of the Omni-ATAC protocol to chromatin accessibility profiling in snap-frozen rat adipose and muscle tissues. MethodsX. 9. 101681–101681. 3 indexed citations

7.

Crislip, G. Ryan, Stephanie E. Wohlgemuth, Christopher A. Wolff, et al.. (2022). Apparent Absence of BMAL1-Dependent Skeletal Muscle–Kidney Cross Talk in Mice. Biomolecules. 12(2). 261–261. 5 indexed citations

8.

Nair, Venugopalan D., Mital Vasoya, Gregory R. Smith, et al.. (2021). Differential analysis of chromatin accessibility and gene expression profiles identifies cis-regulatory elements in rat adipose and muscle. Genomics. 113(6). 3827–3841. 13 indexed citations

9.

Douglas, Collin M., et al.. (2020). Time of Day and Muscle Strength: A Circadian Output?. Physiology. 36(1). 44–51. 35 indexed citations

10.

Zhang, Xiping, Christy M. Hoffmann, Laura D. Hughes, et al.. (2018). Transcriptional profiling reveals extraordinary diversity among skeletal muscle tissues. eLife. 7. 110 indexed citations

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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