Danielle Tenen

6.9k total citations · 1 hit paper
17 papers, 1.9k citations indexed

About

Danielle Tenen is a scholar working on Molecular Biology, Physiology and Epidemiology. According to data from OpenAlex, Danielle Tenen has authored 17 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Physiology and 3 papers in Epidemiology. Recurrent topics in Danielle Tenen's work include Adipose Tissue and Metabolism (7 papers), Single-cell and spatial transcriptomics (3 papers) and RNA modifications and cancer (3 papers). Danielle Tenen is often cited by papers focused on Adipose Tissue and Metabolism (7 papers), Single-cell and spatial transcriptomics (3 papers) and RNA modifications and cancer (3 papers). Danielle Tenen collaborates with scholars based in United States, Denmark and Singapore. Danielle Tenen's co-authors include Evan D. Rosen, Anna Lyubetskaya, Linus Tsai, David G. Hendrickson, David R. Kelley, John L. Rinn, Manju Kumari, Hyun Cheol Roh, Tune H. Pers and Steven A. McCarroll and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Neuroscience.

In The Last Decade

Danielle Tenen

17 papers receiving 1.9k citations

Hit Papers

align trajectories

What are hit papers?

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.

A molecular census of arcuate hypothalamus and median eminence cell types

2017 560 citations John N. Campbell, Evan Z. Macosko et al. Nature Neuroscience profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Danielle Tenen United States	14	846	718	371	343	223	17	1.9k
Kazuhiro Takekoshi Japan	24	588 0.7×	388 0.5×	347 0.9×	261 0.8×	301 1.3×	123	1.7k
Rebecca Berdeaux United States	23	1.1k 1.3×	504 0.7×	141 0.4×	154 0.4×	165 0.7×	40	1.8k
Jingyi Chi United States	15	335 0.4×	612 0.9×	403 1.1×	162 0.5×	65 0.3×	22	1.1k
Patricia M. Watson United States	18	435 0.5×	769 1.1×	518 1.4×	650 1.9×	131 0.6×	30	1.7k
Theodore P. Braun United States	16	577 0.7×	472 0.7×	118 0.3×	149 0.4×	84 0.4×	45	1.5k
Bernat Baeza-Raja United States	13	1.1k 1.3×	564 0.8×	167 0.5×	86 0.3×	96 0.4×	15	1.8k
John-Olov Jansson Sweden	14	416 0.5×	336 0.5×	158 0.4×	240 0.7×	108 0.5×	19	1.5k
Gerald L. Stelmack Canada	23	1.2k 1.4×	491 0.7×	160 0.4×	102 0.3×	87 0.4×	33	1.9k
Rocío Pérez‐González Spain	21	1.1k 1.3×	400 0.6×	168 0.5×	95 0.3×	400 1.8×	40	1.8k
Barak Blum United States	15	1.2k 1.4×	527 0.7×	122 0.3×	250 0.7×	103 0.5×	23	2.2k

Countries citing papers authored by Danielle Tenen

Since Specialization

Citations

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

Fields of papers citing papers by Danielle Tenen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danielle Tenen. 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 Danielle Tenen. The network helps show where Danielle Tenen may publish in the future.

Co-authorship network of co-authors of Danielle Tenen

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

All Works

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17 of 17 papers shown

Gulko, Anton, Adam L. Essene, Molly Veregge, et al.. (2024). Protocol for flow cytometry-assisted single-nucleus RNA sequencing of human and mouse adipose tissue with sample multiplexing. STAR Protocols. 5(1). 102893–102893. 4 indexed citations

Li, Jin, Rafael S. Czepielewski, Jingyi Chi, et al.. (2021). Neurotensin is an anti-thermogenic peptide produced by lymphatic endothelial cells. Cell Metabolism. 33(7). 1449–1465.e6. 42 indexed citations

Yong, Kol Jia, et al.. (2021). ChIP-AP: an integrated analysis pipeline for unbiased ChIP-seq analysis. Briefings in Bioinformatics. 23(1). 8 indexed citations

Mendoza, Arturo, Jinyoung Choi, Bhavna N. Desai, et al.. (2021). Thyroid hormone signaling promotes hepatic lipogenesis through the transcription factor ChREBP. Science Signaling. 14(709). eabh3839–eabh3839. 20 indexed citations

Roh, Hyun Cheol, Manju Kumari, Danielle Tenen, et al.. (2020). Adipocytes fail to maintain cellular identity during obesity due to reduced PPARγ activity and elevated TGFβ-SMAD signaling. Molecular Metabolism. 42. 101086–101086. 33 indexed citations

Kazak, Lawrence, Janane F. Rahbani, Bożena Samborska, et al.. (2019). Ablation of adipocyte creatine transport impairs thermogenesis and causes diet-induced obesity. Nature Metabolism. 1(3). 360–370. 106 indexed citations

Wolock, Samuel L., Indira Krishnan, Danielle Tenen, et al.. (2019). Mapping Distinct Bone Marrow Niche Populations and Their Differentiation Paths. Cell Reports. 28(2). 302–311.e5. 156 indexed citations

Wolock, Samuel L., Indira Krishnan, Danielle Tenen, et al.. (2019). Mapping Distinct Bone Marrow Niche Populations and Their Differentiation Paths. SSRN Electronic Journal. 2 indexed citations

Kong, Xingxing, Ting Yao, Peng Zhou, et al.. (2018). Brown Adipose Tissue Controls Skeletal Muscle Function via the Secretion of Myostatin. Cell Metabolism. 28(4). 631–643.e3. 171 indexed citations

10.

Roh, Hyun Cheol, Linus Tsai, Mengle Shao, et al.. (2018). Warming Induces Significant Reprogramming of Beige, but Not Brown, Adipocyte Cellular Identity. Cell Metabolism. 27(5). 1121–1137.e5. 166 indexed citations

11.

Nilsson, Emma, Danielle Tenen, Anna Lyubetskaya, et al.. (2017). Dnmt3a is an epigenetic mediator of adipose insulin resistance. eLife. 6. 98 indexed citations

12.

Roh, Hyun Cheol, Linus Tsai, Anna Lyubetskaya, et al.. (2017). Simultaneous Transcriptional and Epigenomic Profiling from Specific Cell Types within Heterogeneous Tissues In Vivo. Cell Reports. 18(4). 1048–1061. 90 indexed citations

13.

Campbell, John N., Evan Z. Macosko, Henning Fenselau, et al.. (2017). A molecular census of arcuate hypothalamus and median eminence cell types. Nature Neuroscience. 20(3). 484–496. 560 indexed citations breakdown →

14.

Mendoza, Arturo, Inna Astapova, Hiroaki Shimizu, et al.. (2017). NCoR1-independent mechanism plays a role in the action of the unliganded thyroid hormone receptor. Proceedings of the National Academy of Sciences. 114(40). E8458–E8467. 19 indexed citations

15.

Hendrickson, David G., David R. Kelley, Danielle Tenen, B Bernstein, & John L. Rinn. (2016). Widespread RNA binding by chromatin-associated proteins. Genome biology. 17(1). 28–28. 183 indexed citations

16.

Kumari, Manju, Xun Wang, Louise Lantier, et al.. (2016). IRF3 promotes adipose inflammation and insulin resistance and represses browning. Journal of Clinical Investigation. 126(8). 2839–2854. 149 indexed citations

17.

Kelley, David R., David G. Hendrickson, Danielle Tenen, & John L. Rinn. (2014). Transposable elements modulate human RNA abundance and splicing via specific RNA-protein interactions. Genome biology. 15(12). 537–537. 64 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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