Danielle Tenen

6.9k citations
17 papers · 1.9k indexed · 1 hit paper · h-index 14

Impact in

Papers in

Danielle Tenen

17 papers receiving 1.9k citations

Hit Papers

A molecular census of arcuate hypothalamus and median eminence cell types 2017 · 560 citations
5602017202620202023100200300400500

Peers

Danielle Tenen
Comparison fields: 5 of 102
  • Endocrine and Autonomic Systems 343
  • Physiology 718
  • Rehabilitation 114
  • Cancer Research 223
  • Molecular Biology 846
Replace Jingyi Chi with:
Jingyi Chi United States
Patricia M. Watson United States
Theodore P. Braun United States
Rebecca Berdeaux United States
Bernat Baeza-Raja United States
Kazuhiro Takekoshi Japan
Gerald L. Stelmack Canada
Xing‐Jun Liu China
Barak Blum United States
Rocío Pérez‐González Spain
Danielle Tenen relative to Jingyi Chi United States Jingyi Chi's profile →
Citations per field
00.5×7.2×
Jingyi Chi · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Danielle Tenen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Danielle Tenen Line = papers co-authored together Danielle Tenen links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 20244
2 202142
3 20218
4 202120
5 202033
6 2019156
7 2019106
8 20192
9 2018171
10 2018166
11 201798
12
A molecular census of arcuate hypothalamus and median eminence cell types
Hit paper breakdown →
2017560
13 201790
14 201719
15 2016183
16 2016149
17 201464

About Danielle Tenen

Danielle Tenen is a scholar working on Endocrine and Autonomic Systems, Rehabilitation, Physiology, Molecular Biology and Cancer Research, having authored 17 papers that have together received 1.9k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (7 papers), Single-cell and spatial transcriptomics (3 papers), RNA Research and Splicing (3 papers), RNA modifications and cancer (3 papers), Genomics and Chromatin Dynamics (2 papers), Cancer-related molecular mechanisms research (2 papers), Circadian rhythm and melatonin (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (343 citations), Physiology (718 citations), Rehabilitation (114 citations), Cancer Research (223 citations) and Molecular Biology (846 citations). Danielle Tenen has collaborated with scholars based in United States, Singapore and Denmark. Frequent co-authors include Evan D. Rosen, Anna Lyubetskaya, Linus Tsai, David G. Hendrickson, John L. Rinn, David R. Kelley, Manju Kumari, Hyun Cheol Roh, Melissa Goldman and Evan Z. Macosko. Their work appears in journals such as Cell Metabolism, Cell Reports, Genome biology, Proceedings of the National Academy of Sciences and Nature Neuroscience.

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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