Rachel Essner

1.1k citations
8 papers · 754 · h-index 8

Impact in

Papers in

Rachel Essner

8 papers receiving 752 citations

Peers

Rachel Essner
Comparison fields: 5 of 77
  • Endocrine and Autonomic Systems 406
  • Nutrition and Dietetics 204
  • Cognitive Neuroscience 231
  • Sensory Systems 54
  • Cellular and Molecular Neuroscience 182
Replace Isaac Obed Pérez-Martínez with:
Isaac Obed Pérez-Martínez Mexico
Jamie S. Ahn United States
Erica L. Huey United States
Christopher A Zimmerman United States
Clarissa M. Liu United States
Emily S. Webber United States
Huan Zhao United States
Hruda Nanda Mallick India
Mieneke C. M. Luijendijk Netherlands
M. Flavia Barbano United States
Rachel Essner relative to Isaac Obed Pérez-Martínez Mexico Isaac Obed Pérez-Martínez's profile →
Citations per field
00.5×1.5×
Isaac Obed Pérez-Martínez · 1×
Citations per year

Countries citing papers authored by Rachel Essner

Since Specialization
Citations

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

Fields of papers citing papers by Rachel Essner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2017192
2 2016147
3 2020138
4 201999
5 201796
6 202052
7 201821
8 20169

About Rachel Essner

Rachel Essner is a scholar working on Endocrine and Autonomic Systems, Nutrition and Dietetics, Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology, having authored 8 papers that have together received 754 indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (5 papers), Biochemical Analysis and Sensing Techniques (4 papers), Sleep and Wakefulness Research (3 papers), Neuropeptides and Animal Physiology (2 papers), Diet and metabolism studies (1 paper), RNA and protein synthesis mechanisms (1 paper), Poisoning and overdose treatments (1 paper) and Memory and Neural Mechanisms (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (406 citations), Nutrition and Dietetics (204 citations), Cognitive Neuroscience (231 citations), Sensory Systems (54 citations) and Cellular and Molecular Neuroscience (182 citations). Rachel Essner has collaborated with scholars based in United States. Frequent co-authors include Zachary A. Knight, Yiming Chen, Yen‐Chu Lin, Jamie S. Ahn, Lisa R. Beutler, Christopher A Zimmerman, Matthew E. Carter, Seher Kosar, A. Gordon Smith and Mark L. Andermann. Their work appears in journals such as Neuron, eLife, Journal of Neuroscience, The Journal of Comparative Neurology and Clinical Toxicology.

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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