Emily E. Noble

44 papers receiving 2.2k citations

Peers

Emily E. Noble
Comparison fields: 5 of 108
  • Endocrine and Autonomic Systems 693
  • Biological Psychiatry 158
  • Behavioral Neuroscience 132
  • Physiology 604
  • Developmental Neuroscience 96
Replace Ted M. Hsu with:
Ted M. Hsu United States
Amy C. Reichelt Australia
Dervla O’Malley Ireland
Xavier Fioramonti France
Sandeep Sharma India
Dadasaheb M. Kokare India
Roberto Coccurello Italy
Huxing Cui United States
Stephanie Kullmann Germany
Juan Suárez Spain
Emily E. Noble relative to Ted M. Hsu United States Ted M. Hsu's profile →
Citations per field
00.5×2.7×
Ted M. Hsu · 1×
Citations per year

Countries citing papers authored by Emily E. Noble

Since Specialization
Citations

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

Fields of papers citing papers by Emily E. Noble

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emily E. Noble. 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 Emily E. Noble. The network helps show where Emily E. Noble may publish in the future.

Co-authors

The 25 scholars most cited alongside Emily E. Noble, 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 Emily E. Noble Line = papers co-authored together Emily E. Noble links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017245
2 2011229
3 2018164
4 2017106
5 201791
6 201690
7 201583
8 201479
9 201879
10 201467
11 202163
12 201563
13 201962
14 201559
15 201958
16 202156
17 201456
18 201553
19 201749
20 201743

About Emily E. Noble

Emily E. Noble is a scholar working on Endocrine and Autonomic Systems, Cognitive Neuroscience, Physiology, Nutrition and Dietetics and Molecular Biology, having authored 48 papers that have together received 2.2k indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (21 papers), Sleep and Wakefulness Research (8 papers), Biochemical Analysis and Sensing Techniques (7 papers), Neuroendocrine regulation and behavior (6 papers), Diet and metabolism studies (6 papers), Diet, Metabolism, and Disease (5 papers), Gut microbiota and health (4 papers) and Neuropeptides and Animal Physiology (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (693 citations), Biological Psychiatry (158 citations), Behavioral Neuroscience (132 citations), Physiology (604 citations) and Developmental Neuroscience (96 citations). Emily E. Noble has collaborated with scholars based in United States, Chile and Switzerland. Frequent co-authors include Scott E. Kanoski, Ted M. Hsu, Charles J. Billington, Andrea N. Suarez, Catherine M. Kotz, Chuanfeng Wang, Clarissa M. Liu, Joel D. Hahn, Alyssa M. Cortella and Zhe Ying. Their work appears in journals such as Molecular Psychiatry, Neuropharmacology, Nature Communications, Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease and Physiology & Behavior.

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.

Explore authors with similar magnitude of impact