Travis McMurphy
Impact in
- Behavioral Neuroscience top 10%
- Stress Responses and Cortisol
- Endocrine and Autonomic Systems top 10%
- Regulation of Appetite and Obesity
Papers in
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- Viral Infectious Diseases and Gene Expression in Insects 4
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- Adipose Tissue and Metabolism 6
- Co-authors
- Lei Cao (11 shared papers)Wei Huang (9 shared papers)Xianglan Liu (8 shared papers)Run Xiao (5 shared papers)Nicholas J. Queen (5 shared papers)Chuansong Wang (3 shared papers)Daniel Magee (3 shared papers)Matthew J. During (2 shared papers)
- Journals
- Molecular Therapy — Methods & Clinical Development (2 papers)Molecular Therapy (2 papers)Human Gene Therapy (1 paper)Aging Cell (1 paper)Diabetes (1 paper)
- Partner nations
- United StatesFranceBelgium
In The Last Decade
Travis McMurphy
13 papers receiving 367 citations
Peers
Comparison fields: 5 of 58
- Behavioral Neuroscience 34
- Endocrine and Autonomic Systems 46
- Developmental Neuroscience 25
- Physiology 152
- Aging 8
Countries citing papers authored by Travis McMurphy
This map shows the geographic impact of Travis McMurphy'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 Travis McMurphy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Travis McMurphy more than expected).
Fields of papers citing papers by Travis McMurphy
This network shows the impact of papers produced by Travis McMurphy. 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 Travis McMurphy. The network helps show where Travis McMurphy may publish in the future.
Co-authors
The 21 scholars most cited alongside Travis McMurphy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 72 | |
| 2 | 2014 | 43 | |
| 3 | 2018 | 43 | |
| 4 | 2014 | 38 | |
| 5 | 2018 | 33 | |
| 6 | 2016 | 32 | |
| 7 | 2019 | 30 | |
| 8 | 2014 | 27 | |
| 9 | 2017 | 17 | |
| 10 | 2016 | 17 | |
| 11 | 2020 | 11 | |
| 12 | 2023 | 7 | |
| 13 | 2024 | 2 |
About Travis McMurphy
Travis McMurphy is a scholar working on Molecular Biology, Physiology, Genetics, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems, having authored 13 papers that have together received 372 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (6 papers), Virus-based gene therapy research (4 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers), Nerve injury and regeneration (2 papers), Biochemical Analysis and Sensing Techniques (2 papers), Regulation of Appetite and Obesity (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Behavioral Neuroscience (34 citations), Endocrine and Autonomic Systems (46 citations), Developmental Neuroscience (25 citations), Physiology (152 citations) and Aging (8 citations). Travis McMurphy has collaborated with scholars based in United States, France and Belgium. Frequent co-authors include Lei Cao, Wei Huang, Xianglan Liu, Run Xiao, Nicholas J. Queen, Chuansong Wang, Daniel Magee, Matthew J. During, Jason J. Siu and Nikhil V. Dhurandhar. Their work appears in journals such as Molecular Therapy — Methods & Clinical Development, Molecular Therapy, Human Gene Therapy, Aging Cell and Diabetes.
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.