Michelle M. Sonsalla

870 total citations
16 papers, 226 citations indexed

About

Michelle M. Sonsalla is a scholar working on Physiology, Aging and Molecular Biology. According to data from OpenAlex, Michelle M. Sonsalla has authored 16 papers receiving a total of 226 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Physiology, 5 papers in Aging and 3 papers in Molecular Biology. Recurrent topics in Michelle M. Sonsalla's work include Genetics, Aging, and Longevity in Model Organisms (5 papers), Adipose Tissue and Metabolism (5 papers) and Biochemical effects in animals (4 papers). Michelle M. Sonsalla is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (5 papers), Adipose Tissue and Metabolism (5 papers) and Biochemical effects in animals (4 papers). Michelle M. Sonsalla collaborates with scholars based in United States. Michelle M. Sonsalla's co-authors include Dudley W. Lamming, Heidi H. Pak, Cara L. Green, Victor Darley‐Usmar, Shany E. Yang, Sabrina N. Dumas, Spencer A. Haws, Michelle S. Johnson, Nicole E. Richardson and Stephen Barnes and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Cell Metabolism.

In The Last Decade

Michelle M. Sonsalla

11 papers receiving 225 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Michelle M. Sonsalla United States	7	146	60	59	37	30	16	226
Veronika Piskovatska Germany	7	72 0.5×	71 1.2×	105 1.8×	20 0.5×	36 1.2×	7	285
Norma J. Messier United States	7	125 0.9×	11 0.2×	86 1.5×	60 1.6×	50 1.7×	7	327
Emma Svensk Sweden	8	103 0.7×	144 2.4×	134 2.3×	52 1.4×	24 0.8×	10	298
Daniel Moreno-Blas Mexico	6	92 0.6×	30 0.5×	122 2.1×	19 0.5×	39 1.3×	7	247
Arjunan Rajasingam United Kingdom	5	86 0.6×	61 1.0×	48 0.8×	44 1.2×	10 0.3×	5	146
Jacques Togo China	9	110 0.8×	25 0.4×	172 2.9×	46 1.2×	46 1.5×	19	353
Anna M. Ehlers Netherlands	10	135 0.9×	17 0.3×	44 0.7×	153 4.1×	23 0.8×	18	343
Minhoo Kim United States	9	63 0.4×	23 0.4×	190 3.2×	12 0.3×	21 0.7×	15	340
Netta Shemesh Israel	10	71 0.5×	163 2.7×	216 3.7×	45 1.2×	26 0.9×	14	327
Hae‐Eun H. Park South Korea	9	65 0.4×	187 3.1×	103 1.7×	42 1.1×	10 0.3×	12	298

Countries citing papers authored by Michelle M. Sonsalla

Since Specialization

Citations

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

Fields of papers citing papers by Michelle M. Sonsalla

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michelle M. Sonsalla

This figure shows the co-authorship network connecting the top 25 collaborators of Michelle M. Sonsalla. A scholar is included among the top collaborators of Michelle M. Sonsalla 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 Michelle M. Sonsalla. Michelle M. Sonsalla is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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16 of 16 papers shown

Calubag, Mariah F., Reji Babygirija, Michelle M. Sonsalla, et al.. (2025). Tissue‐Specific Effects of Dietary Protein on Cellular Senescence Are Mediated by Branched‐Chain Amino Acids. Aging Cell. 24(10). e70176–e70176.

Green, Cara L., Michael R. MacArthur, Reji Babygirija, et al.. (2025). Dietary isoleucine content modulates the metabolic and molecular response to a Western diet in mice. Molecular Metabolism. 101. 102248–102248.

Babygirija, Reji, Michelle M. Sonsalla, Mariah F. Calubag, et al.. (2025). Fasting is required for many of the benefits of calorie restriction in the 3xTg mouse model of Alzheimer’s disease. Nature Communications. 16(1). 7147–7147.

Sonsalla, Michelle M., Reji Babygirija, Yang Liu, et al.. (2025). Ketogenesis is Dispensable for the Metabolic Adaptations to Caloric Restriction. Aging Cell. 25(1). e70318–e70318.

Hagemann, Tracy L., et al.. (2025). Growth Differentiation Factor 15 Elevation in the Central Nervous System Is Associated With Failure to Thrive in Alexander Disease. Annals of Clinical and Translational Neurology. 13(1). 144–156.

Garcia, Gonzalo G., Mariah F. Calubag, Allison C. Rodgers, et al.. (2024). Late-life protein or isoleucine restriction impacts physiological and molecular signatures of aging. Nature Aging. 4(12). 1760–1771. 6 indexed citations

Sonsalla, Michelle M., Reji Babygirija, Madeline Johnson, et al.. (2024). Acarbose ameliorates Western diet-induced metabolic and cognitive impairments in the 3xTg mouse model of Alzheimer’s disease. GeroScience. 47(2). 1569–1591. 4 indexed citations

Sonsalla, Michelle M., et al.. (2023). Resistance exercise protects mice from protein-induced fat accretion. eLife. 12. 3 indexed citations

Sonsalla, Michelle M. & Dudley W. Lamming. (2023). Geroprotective interventions in the 3xTg mouse model of Alzheimer’s disease. GeroScience. 45(3). 1343–1381. 6 indexed citations

10.

Green, Cara L., Reji Babygirija, Heidi H. Pak, et al.. (2023). Dietary restriction of isoleucine increases healthspan and lifespan of genetically heterogeneous mice. Cell Metabolism. 35(11). 1976–1995.e6. 58 indexed citations

11.

Sonsalla, Michelle M., Reji Babygirija, Madeline Johnson, et al.. (2023). Acarbose ameliorates western diet‐induced metabolic and cognitive impairments in the 3xTg mouse model of Alzheimer’s disease. Alzheimer s & Dementia. 19(S13). 2 indexed citations

12.

Sonsalla, Michelle M., et al.. (2021). Development of metabolic inflammation during pre-hibernation fattening in 13-lined ground squirrels (Ictidomys tridecemlineatus). Journal of Comparative Physiology B. 191(5). 941–953. 5 indexed citations

13.

Pak, Heidi H., Spencer A. Haws, Cara L. Green, et al.. (2021). Fasting drives the metabolic, molecular and geroprotective effects of a calorie-restricted diet in mice. Nature Metabolism. 3(10). 1327–1341. 107 indexed citations

14.

Grond, Kirsten, et al.. (2021). Gut microbiome is affected by gut region but robust to host physiological changes in captive active-season ground squirrels. SHILAP Revista de lepidopterología. 3(1). 56–56. 6 indexed citations

15.

Kingstad-Bakke, Brock, Woo‐Jong Lee, Masato Hatta, et al.. (2020). Programming Multifaceted Pulmonary T Cell Immunity by Combination Adjuvants. Cell Reports Medicine. 1(6). 100095–100095. 23 indexed citations

16.

Broytman, Oleg, John A. Russell, Michelle M. Sonsalla, et al.. (2020). Effects of inhaled fluticasone propionate on extrinsic tongue muscles in rats. Journal of Applied Physiology. 128(3). 576–585. 6 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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