Daniel C. Berry

3.9k total citations · 1 hit paper
36 papers, 3.0k citations indexed

About

Daniel C. Berry is a scholar working on Molecular Biology, Epidemiology and Physiology. According to data from OpenAlex, Daniel C. Berry has authored 36 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 17 papers in Epidemiology and 17 papers in Physiology. Recurrent topics in Daniel C. Berry's work include Adipose Tissue and Metabolism (17 papers), Adipokines, Inflammation, and Metabolic Diseases (17 papers) and Retinoids in leukemia and cellular processes (14 papers). Daniel C. Berry is often cited by papers focused on Adipose Tissue and Metabolism (17 papers), Adipokines, Inflammation, and Metabolic Diseases (17 papers) and Retinoids in leukemia and cellular processes (14 papers). Daniel C. Berry collaborates with scholars based in United States, France and China. Daniel C. Berry's co-authors include Noa Noy, Jonathan M. Graff, Yuwei Jiang, Thaddeus T. Schug, Natacha Shaw, Daniel Zeve, Drew Stenesen, Colleen M. Croniger, Hooman Soltanian and Benjamin Steiner and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Daniel C. Berry

36 papers receiving 2.9k citations

Hit Papers

Opposing Effects of Retinoic Acid on Cell Growth Result f... 2007 2026 2013 2019 2007 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel C. Berry United States 24 1.7k 1.2k 806 523 321 36 3.0k
Bounleut Phanavanh United States 16 828 0.5× 578 0.5× 539 0.7× 102 0.2× 284 0.9× 23 1.7k
Anna Hultgårdh‐Nilsson Sweden 30 963 0.6× 301 0.2× 294 0.4× 202 0.4× 810 2.5× 61 2.7k
Sophie Vaulont France 29 2.7k 1.6× 1.1k 0.9× 450 0.6× 40 0.1× 119 0.4× 56 4.1k
Yasushi Matsuki Japan 21 2.6k 1.5× 867 0.7× 862 1.1× 43 0.1× 242 0.8× 30 3.8k
Li‐Shin Huang United States 26 1.2k 0.7× 441 0.4× 552 0.7× 63 0.1× 393 1.2× 39 2.8k
Pascal Bernatchez Canada 30 1.7k 1.0× 696 0.6× 175 0.2× 47 0.1× 298 0.9× 78 3.0k
Philip L.S.M. Gordts United States 25 877 0.5× 1.6k 1.3× 887 1.1× 35 0.1× 270 0.8× 57 3.5k
Tomomi Ueyama Japan 31 1.9k 1.1× 482 0.4× 647 0.8× 38 0.1× 292 0.9× 70 3.4k
Aline Mairal France 31 1.0k 0.6× 1.4k 1.1× 456 0.6× 34 0.1× 65 0.2× 45 2.9k
Jong Bae Seo South Korea 15 1.3k 0.8× 572 0.5× 625 0.8× 36 0.1× 262 0.8× 42 2.2k

Countries citing papers authored by Daniel C. Berry

Since Specialization
Citations

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

Fields of papers citing papers by Daniel C. Berry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel C. Berry. 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 Daniel C. Berry. The network helps show where Daniel C. Berry may publish in the future.

Co-authorship network of co-authors of Daniel C. Berry

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

All Works

20 of 20 papers shown
1.
Yuan, Yexian, Shaolei Xiong, Zilai Wang, et al.. (2024). Macrophage-derived chemokine CCL22 establishes local LN-mediated adaptive thermogenesis and energy expenditure. Science Advances. 10(26). eadn5229–eadn5229. 4 indexed citations
2.
Berry, Daniel C., et al.. (2024). Reversing Pdgfrβ signaling restores metabolically active beige adipocytes by alleviating ILC2 suppression in aged and obese mice. Molecular Metabolism. 89. 102028–102028. 2 indexed citations
3.
Berry, Daniel C., et al.. (2024). Smooth muscle cell-derived Cxcl12 directs macrophage accrual and sympathetic innervation to control thermogenic adipose tissue. Cell Reports. 43(5). 114169–114169. 3 indexed citations
4.
Steiner, Benjamin, et al.. (2024). Cxcr4 regulates a pool of adipocyte progenitors and contributes to adiposity in a sex-dependent manner. Nature Communications. 15(1). 6622–6622. 3 indexed citations
5.
Steiner, Benjamin, et al.. (2023). Age-dependent Pdgfrβ signaling drives adipocyte progenitor dysfunction to alter the beige adipogenic niche in male mice. Nature Communications. 14(1). 1806–1806. 17 indexed citations
6.
Lee, Derek, et al.. (2023). Thermogenic adipose tissue in energy regulation and metabolic health. Frontiers in Endocrinology. 14. 1150059–1150059. 15 indexed citations
8.
Lee, Seoyeon, Hui Gyu Park, Roman Spektor, et al.. (2022). Remodeling of gene regulatory networks underlying thermogenic stimuli-induced adipose beiging. Communications Biology. 5(1). 584–584. 12 indexed citations
9.
Shin, Sunhye, Lifeng Liu, Iffat Jahan, et al.. (2021). Progenitor-like characteristics in a subgroup of UCP1+ cells within white adipose tissue. Developmental Cell. 56(7). 985–999.e4. 28 indexed citations
10.
Acharya, Asha, Daniel C. Berry, He Zhang, et al.. (2019). miR-26 suppresses adipocyte progenitor differentiation and fat production by targeting Fbxl19. Genes & Development. 33(19-20). 1367–1380. 52 indexed citations
11.
Jiang, Yuwei, Daniel C. Berry, A-Young Jo, et al.. (2017). A PPARγ transcriptional cascade directs adipose progenitor cell-niche interaction and niche expansion. Nature Communications. 8(1). 15926–15926. 45 indexed citations
12.
Berry, Daniel C., Yuwei Jiang, & Jonathan M. Graff. (2016). Mouse strains to study cold-inducible beige progenitors and beige adipocyte formation and function. Nature Communications. 7(1). 10184–10184. 146 indexed citations
13.
Berry, Daniel C., Yuwei Jiang, & Jonathan M. Graff. (2016). Emerging Roles of Adipose Progenitor Cells in Tissue Development, Homeostasis, Expansion and Thermogenesis. Trends in Endocrinology and Metabolism. 27(8). 574–585. 80 indexed citations
14.
Berry, Daniel C., Yuwei Jiang, Robert W. Arpke, et al.. (2016). Cellular Aging Contributes to Failure of Cold-Induced Beige Adipocyte Formation in Old Mice and Humans. Cell Metabolism. 25(1). 166–181. 153 indexed citations
15.
Berry, Daniel C., Liraz Levi, & Noa Noy. (2014). Holo-Retinol–Binding Protein and Its Receptor STRA6 Drive Oncogenic Transformation. Cancer Research. 74(21). 6341–6351. 47 indexed citations
16.
Jiang, Yuwei, Daniel C. Berry, Wei Tang, & Jonathan M. Graff. (2014). Independent Stem Cell Lineages Regulate Adipose Organogenesis and Adipose Homeostasis. Cell Reports. 9(3). 1007–1022. 150 indexed citations
17.
Berry, Daniel C., David DeSantis, Hooman Soltanian, Colleen M. Croniger, & Noa Noy. (2012). Retinoic Acid Upregulates Preadipocyte Genes to Block Adipogenesis and Suppress Diet-Induced Obesity. Diabetes. 61(5). 1112–1121. 149 indexed citations
18.
Berry, Daniel C., Hooman Soltanian, & Noa Noy. (2010). Repression of Cellular Retinoic Acid-binding Protein II during Adipocyte Differentiation. Journal of Biological Chemistry. 285(20). 15324–15332. 46 indexed citations
19.
Berry, Daniel C. & Noa Noy. (2009). All- trans -Retinoic Acid Represses Obesity and Insulin Resistance by Activating both Peroxisome Proliferation-Activated Receptor β/δ and Retinoic Acid Receptor. Molecular and Cellular Biology. 29(12). 3286–3296. 283 indexed citations
20.
Schug, Thaddeus T., et al.. (2007). Opposing Effects of Retinoic Acid on Cell Growth Result from Alternate Activation of Two Different Nuclear Receptors. Cell. 129(4). 723–733. 557 indexed citations breakdown →

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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