Tom Earnest

602 citations
12 papers · 253 · h-index 7

Impact in

Papers in

    • Asthma and respiratory diseases 2
    • Tuberous Sclerosis Complex Research 2
    • Receptor Mechanisms and Signaling 2

Tom Earnest

10 papers receiving 251 citations

Peers

Tom Earnest
Comparison fields: 5 of 56
  • Dermatology 83
  • Immunology and Allergy 31
  • Sensory Systems 25
  • Endocrine and Autonomic Systems 27
  • Cellular and Molecular Neuroscience 72
Replace Adam Kardon with:
Adam Kardon United States
Arne Kuhlmei Germany
Katsuhiko Shibuya Japan
Anthony D. Menzel United States
Charles A. Warwick United States
Aphrodite Konstantinidou United States
Dina Juarez-Salinas United States
Stephanie Lussier United States
Melanie Y. Pullen United States
Hye-Jin Park United States
Tom Earnest relative to Adam Kardon United States Adam Kardon's profile →
Citations per field
00.5×1.5×2.3×
Adam Kardon · 1×
Citations per year

Countries citing papers authored by Tom Earnest

Since Specialization
Citations

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

Fields of papers citing papers by Tom Earnest

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 201996
2 202145
3 201938
4 202328
5 202220
6 20208
7 20217
8 20246
9 20244
10 20251
11 20240
12 20240

About Tom Earnest

Tom Earnest is a scholar working on Physiology, Molecular Biology, Psychiatry and Mental health, Cellular and Molecular Neuroscience and Dermatology, having authored 12 papers that have together received 253 indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (2 papers), Dermatology and Skin Diseases (2 papers), Receptor Mechanisms and Signaling (2 papers), Asthma and respiratory diseases (2 papers), Tuberous Sclerosis Complex Research (2 papers), Neurotransmitter Receptor Influence on Behavior (2 papers), Genetics and Neurodevelopmental Disorders (1 paper) and Neurological disorders and treatments (1 paper). The work is most often cited by research in Dermatology (83 citations), Immunology and Allergy (31 citations), Sensory Systems (25 citations), Endocrine and Autonomic Systems (27 citations) and Cellular and Molecular Neuroscience (72 citations). Tom Earnest has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Xinglong Gu, Hans Jürgen Solinski, Mark A. Hoon, Arnab Barik, Mette C. Kriegbaum, Pang‐Yen Tseng, Alexander T. Chesler, James Inglese, Jessica R. Tooley and Kavitha Abiraman. Their work appears in journals such as Alzheimer s & Dementia, Cell Reports, Nature Neuroscience, Neuron and Cortex.

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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