Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Brown Adipose Tissue: Function and Physiological Significance
20045.0k citationsBarbara Cannon, Jan Nedergaardprofile →
Unexpected evidence for active brown adipose tissue in adult humans
20071.4k citationsJan Nedergaard, Barbara Cannon et al.American Journal of Physiology-Endocrinology and Metabolismprofile →
Chronic Peroxisome Proliferator-activated Receptor γ (PPARγ) Activation of Epididymally Derived White Adipocyte Cultures Reveals a Population of Thermogenically Competent, UCP1-containing Adipocytes Molecularly Distinct from Classic Brown Adipocytes
20091.1k citationsNataša Petrovič, Tomas B. Waldén et al.profile →
UCP1 Ablation Induces Obesity and Abolishes Diet-Induced Thermogenesis in Mice Exempt from Thermal Stress by Living at Thermoneutrality
20091.0k citationsHelena M. Feldmann, Valeria Golozoubova et al.Cell Metabolismprofile →
The presence of UCP1 demonstrates that metabolically active adipose tissue in the neck of adult humans truly represents brown adipose tissue
2009589 citationsAndrea Frontini, Barbara Cannon et al.profile →
Myogenic gene expression signature establishes that brown and white adipocytes originate from distinct cell lineages
2007563 citationsJames A. Timmons, Kristian Wennmalm et al.Proceedings of the National Academy of Sciencesprofile →
Nonshivering thermogenesis and its adequate measurement in metabolic studies
2010535 citationsBarbara Cannon, Jan NedergaardJournal of Experimental Biologyprofile →
UCP1 in Brite/Beige Adipose Tissue Mitochondria Is Functionally Thermogenic
2013514 citationsIrina G. Shabalina, Nataša Petrovič et al.profile →
Recruited vs. nonrecruited molecular signatures of brown, “brite,” and white adipose tissues
2011451 citationsTomas B. Waldén, Ida R. Hansen et al.American Journal of Physiology-Endocrinology and Metabolismprofile →
A Classical Brown Adipose Tissue mRNA Signature Partly Overlaps with Brite in the Supraclavicular Region of Adult Humans
2013441 citationsNaja Zenius Jespersen, Jasper M. A. de Jong et al.Cell Metabolismprofile →
The Browning of White Adipose Tissue: Some Burning Issues
2014403 citationsJan Nedergaard, Barbara CannonCell Metabolismprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
Countries citing papers authored by Jan Nedergaard
Since
Specialization
Citations
This map shows the geographic impact of Jan Nedergaard'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 Jan Nedergaard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Nedergaard more than expected).
This network shows the impact of papers produced by Jan Nedergaard. 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 Jan Nedergaard. The network helps show where Jan Nedergaard may publish in the future.
Co-authorship network of co-authors of Jan Nedergaard
This figure shows the co-authorship network connecting the top 25 collaborators of Jan Nedergaard.
A scholar is included among the top collaborators of Jan Nedergaard 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 Jan Nedergaard. Jan Nedergaard is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Petrovič, Nataša, Irina G. Shabalina, Jasper M. A. de Jong, et al.. (2015). Adipose tissues: The brown, the white and the brite. Proceedings of The Physiological Society.1 indexed citations
Jong, Jasper M. A. de, et al.. (2012). Expression of Zinc finger of the cerebellum 1 suggests a possible role in development and/or function of brown adipose tissue. Proceedings of The Physiological Society.1 indexed citations
10.
Waldén, Tomas B., Ida R. Hansen, James A. Timmons, Barbara Cannon, & Jan Nedergaard. (2011). Recruited vs. nonrecruited molecular signatures of brown, “brite,” and white adipose tissues. American Journal of Physiology-Endocrinology and Metabolism. 302(1). E19–E31.451 indexed citations breakdown →
11.
Cannon, Barbara & Jan Nedergaard. (2010). Nonshivering thermogenesis and its adequate measurement in metabolic studies. Journal of Experimental Biology. 214(2). 242–253.535 indexed citations breakdown →
Feldmann, Helena M., Valeria Golozoubova, Barbara Cannon, & Jan Nedergaard. (2009). UCP1 Ablation Induces Obesity and Abolishes Diet-Induced Thermogenesis in Mice Exempt from Thermal Stress by Living at Thermoneutrality. Cell Metabolism. 9(2). 203–209.1039 indexed citations breakdown →
Timmons, James A., Kristian Wennmalm, Ola Larsson, et al.. (2007). Myogenic gene expression signature establishes that brown and white adipocytes originate from distinct cell lineages. Proceedings of the National Academy of Sciences. 104(11). 4401–4406.563 indexed citations breakdown →
16.
Nedergaard, Jan, et al.. (1996). Switch in cross-talk of beta and alpha-1 adrenoceptors in cultured brown fat cells. Biochemical Society Transactions. 24(4). 552.1 indexed citations
Nedergaard, Jan & Barbara Cannon. (1990). Mammalian hibernation. Philosophical transactions of the Royal Society of London. Series B, Biological sciences. 326(1237). 669–686.86 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.