Matthew D. Smith
- Cell Biology top 5%
- Endoplasmic Reticulum Stress and Disease 5
- Physiology top 5%
- Epidemiology top 5%
- Autophagy in Disease and Therapy 7
- Geriatrics and Gerontology top 10%
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- Avian ecology and behavior 4
- Animal Ecology and Behavior Studies 4
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- Subterranean biodiversity and taxonomy 4
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- Amphibian and Reptile Biology 3
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- Pancreatic function and diabetes 3
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- Bat Biology and Ecology Studies 2
- Co-authors
- Simon WilkinsonCourtney J. ConwayChristian BehrendsMark J. ArendsAlex von KriegsheimAlain J. KempMargaret E HarleyJimi Wills
- Cited by
- Cell BiologyPhysiologyEpidemiology
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Matthew D. Smith
22 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Cell Biology 321
- Physiology 82
- Epidemiology 471
- Aging 13
- Geriatrics and Gerontology 28
Countries citing papers authored by Matthew D. Smith
This map shows the geographic impact of Matthew D. Smith'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 Matthew D. Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew D. Smith more than expected).
Fields of papers citing papers by Matthew D. Smith
This network shows the impact of papers produced by Matthew D. Smith. 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 Matthew D. Smith. The network helps show where Matthew D. Smith may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matthew D. Smith, 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 | 2025 | 0 | |
| 2 | 2023 | 0 | |
| 3 | 2022 | 1 | |
| 4 | 2020 | 22 | |
| 5 | 2019 | 98 | |
| 6 | 2018 | 13 | |
| 7 | CCPG1 Is a Non-canonical Autophagy Cargo Receptor Essential for ER-Phagy and Pancreatic ER Proteostasisbreakdown → | 2017 | 341 |
| 8 | 2017 | 2 | |
| 9 | 2016 | 97 | |
| 10 | 2014 | 12 | |
| 11 | 2014 | 16 | |
| 12 | 2013 | 63 | |
| 13 | 2012 | 72 | |
| 14 | 2012 | 20 | |
| 15 | 2011 | 66 | |
| 16 | 2011 | 13 | |
| 17 | 2008 | 28 | |
| 18 | 2006 | 59 | |
| 19 | Spatiotemporal Modeling of Shorebird Habitat Availability at Rankin Wildlife Management Area, Tennessee | 2006 | 1 |
| 20 | 2005 | 27 |
About Matthew D. Smith
Matthew D. Smith is a scholar working on Paleontology, Cell Biology and Ecology, having authored 24 papers that have together received 1.1k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (7 papers), Endoplasmic Reticulum Stress and Disease (5 papers), Avian ecology and behavior (4 papers), Animal Ecology and Behavior Studies (4 papers), Subterranean biodiversity and taxonomy (4 papers), Amphibian and Reptile Biology (3 papers), Pancreatic function and diabetes (3 papers) and Bat Biology and Ecology Studies (2 papers). The work is most often cited by research in Cell Biology (321 citations), Physiology (82 citations) and Epidemiology (471 citations). Matthew D. Smith has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Simon Wilkinson, Courtney J. Conway, Christian Behrends, Mark J. Arends, Alex von Kriegsheim, Alain J. Kemp, Margaret E Harley, Jimi Wills, Martin Lee and Nicholas T. Ktistakis. Their work appears in journals such as Animal Behaviour, Developmental Cell, Autophagy, Journal of Biogeography and PLoS Genetics.
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.