Dawn S. Sherman

1.0k total citations · 1 hit paper
7 papers, 714 citations indexed

About

Dawn S. Sherman is a scholar working on Physiology, Surgery and Molecular Biology. According to data from OpenAlex, Dawn S. Sherman has authored 7 papers receiving a total of 714 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Physiology, 2 papers in Surgery and 2 papers in Molecular Biology. Recurrent topics in Dawn S. Sherman's work include Adipose Tissue and Metabolism (4 papers), Diabetes and associated disorders (2 papers) and Pancreatic function and diabetes (2 papers). Dawn S. Sherman is often cited by papers focused on Adipose Tissue and Metabolism (4 papers), Diabetes and associated disorders (2 papers) and Pancreatic function and diabetes (2 papers). Dawn S. Sherman collaborates with scholars based in United States and Philippines. Dawn S. Sherman's co-authors include Dudley W. Lamming, Deyang Yu, Nicole E. Cummings, Jacqueline A. Brinkman, Sebastian I. Arriola Apelo, Elizabeth M. Williams, Michelle E. Kimple, Shany E. Yang, Jaclyn A. Wisinski and Emma L. Baar and has published in prestigious journals such as Nature Communications, The Journal of Physiology and Scientific Reports.

In The Last Decade

Dawn S. Sherman

7 papers receiving 706 citations

Hit Papers

Lifelong restriction of d... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dawn S. Sherman United States 7 392 333 157 81 80 7 714
Nicole E. Cummings United States 10 399 1.0× 361 1.1× 203 1.3× 79 1.0× 82 1.0× 10 787
Virginia L. Malloy United States 12 426 1.1× 343 1.0× 173 1.1× 142 1.8× 87 1.1× 22 883
Jason D. Plummer United States 11 361 0.9× 354 1.1× 135 0.9× 103 1.3× 62 0.8× 14 791
Cory C. Cortez United States 7 255 0.7× 253 0.8× 86 0.5× 89 1.1× 44 0.6× 7 511
Shinichiro Koike United States 10 307 0.8× 211 0.6× 58 0.4× 51 0.6× 97 1.2× 20 676
Agnieszka Czopik United States 6 425 1.1× 277 0.8× 110 0.7× 27 0.3× 203 2.5× 7 861
Valerie B. Holcomb United States 13 222 0.6× 336 1.0× 49 0.3× 29 0.4× 123 1.5× 16 682
Jian Ying Xuan Canada 11 459 1.2× 483 1.5× 91 0.6× 60 0.7× 177 2.2× 11 936
Manuel Roqueta‐Rivera United States 9 173 0.4× 280 0.8× 50 0.3× 23 0.3× 91 1.1× 13 748
Tamra Mendoza United States 14 381 1.0× 378 1.1× 28 0.2× 68 0.8× 172 2.1× 21 804

Countries citing papers authored by Dawn S. Sherman

Since Specialization
Citations

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

Fields of papers citing papers by Dawn S. Sherman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dawn S. Sherman. 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 Dawn S. Sherman. The network helps show where Dawn S. Sherman may publish in the future.

Co-authorship network of co-authors of Dawn S. Sherman

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

All Works

7 of 7 papers shown
1.
Richardson, Nicole E., Colin Boyle, Allison C. Rodgers, et al.. (2021). Lifelong restriction of dietary branched-chain amino acids has sex-specific benefits for frailty and life span in mice. Nature Aging. 1(1). 73–86. 170 indexed citations breakdown →
2.
Yu, Deyang, Jay L. Tomasiewicz, Shany E. Yang, et al.. (2019). Calorie-Restriction-Induced Insulin Sensitivity Is Mediated by Adipose mTORC2 and Not Required for Lifespan Extension. Cell Reports. 29(1). 236–248.e3. 67 indexed citations
3.
Schreiber, Katherine H., Sebastian I. Arriola Apelo, Deyang Yu, et al.. (2019). A novel rapamycin analog is highly selective for mTORC1 in vivo. Nature Communications. 10(1). 3194–3194. 132 indexed citations
4.
Brinkman, Jacqueline A., Rachel J. Fenske, Brian Schmidt, et al.. (2018). Age-Dependent Protection of Insulin Secretion in Diet Induced Obese Mice. Scientific Reports. 8(1). 17814–17814. 16 indexed citations
5.
Yu, Deyang, Shany E. Yang, Blake R. Miller, et al.. (2018). Short‐term methionine deprivation improves metabolic health via sexually dimorphic, mTORCI‐independent mechanisms. The FASEB Journal. 32(6). 3471–3482. 66 indexed citations
6.
Cummings, Nicole E., Elizabeth M. Williams, Ildikó Kasza, et al.. (2017). Restoration of metabolic health by decreased consumption of branched‐chain amino acids. The Journal of Physiology. 596(4). 623–645. 247 indexed citations
7.
Sherman, Dawn S., et al.. (2015). Transgenic expression of the human growth hormone minigene promotes pancreatic β-cell proliferation. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 309(7). R788–R794. 16 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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