Matthew Goodman
Impact in
- Endocrine and Autonomic Systems top 10%
- Neuroscience of respiration and sleep
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- Sleep and related disorders
- Sleep and Work-Related Fatigue
Papers in
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- Single-cell and spatial transcriptomics 2
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- Sleep and related disorders 7
- Sleep and Work-Related Fatigue 4
- Co-authors
- Susan Redline (11 shared papers)Tianyi Huang (10 shared papers)C. Tickle (3 shared papers)Angela M. Crawley (2 shared papers)H. Franklin Bunn (1 shared paper)Joon Chung (7 shared papers)John Czelusniak (1 shared paper)Danyi Wen (1 shared paper)
- Journals
- SLEEP (4 papers)Journal of Cell Science (2 papers)Sleep Health (2 papers)Neurology Neuroimmunology & Neuroinflammation (1 paper)Blood (1 paper)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Matthew Goodman
22 papers receiving 443 citations
Peers
Comparison fields: 5 of 90
- Endocrine and Autonomic Systems 56
- Experimental and Cognitive Psychology 102
- Hematology 73
- Physiology 108
- Cognitive Neuroscience 49
Countries citing papers authored by Matthew Goodman
This map shows the geographic impact of Matthew Goodman'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 Goodman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Goodman more than expected).
Fields of papers citing papers by Matthew Goodman
This network shows the impact of papers produced by Matthew Goodman. 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 Goodman. The network helps show where Matthew Goodman may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew Goodman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 122 | |
| 2 | 2021 | 46 | |
| 3 | 2021 | 38 | |
| 4 | 1978 | 33 | |
| 5 | 1984 | 32 | |
| 6 | 1978 | 23 | |
| 7 | 2020 | 23 | |
| 8 | 2021 | 19 | |
| 9 | 2020 | 19 | |
| 10 | 1994 | 16 | |
| 11 | 2022 | 15 | |
| 12 | 2019 | 15 | |
| 13 | 2018 | 14 | |
| 14 | 2023 | 13 | |
| 15 | 2023 | 10 | |
| 16 | 2023 | 8 | |
| 17 | 2023 | 7 | |
| 18 | 1978 | 5 | |
| 19 | 2013 | 4 | |
| 20 | 2018 | 2 |
About Matthew Goodman
Matthew Goodman is a scholar working on Molecular Biology, Experimental and Cognitive Psychology, Physiology, Cardiology and Cardiovascular Medicine and Cognitive Neuroscience, having authored 27 papers that have together received 466 indexed citations. Recurring topics across this work include Sleep and related disorders (7 papers), Sleep and Work-Related Fatigue (4 papers), Obesity, Physical Activity, Diet (3 papers), Sleep and Wakefulness Research (3 papers), Obstructive Sleep Apnea Research (3 papers), Alzheimer's disease research and treatments (2 papers), Cell Image Analysis Techniques (2 papers) and Single-cell and spatial transcriptomics (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (56 citations), Experimental and Cognitive Psychology (102 citations), Hematology (73 citations), Physiology (108 citations) and Cognitive Neuroscience (49 citations). Matthew Goodman has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Susan Redline, Tianyi Huang, C. Tickle, Angela M. Crawley, H. Franklin Bunn, Joon Chung, John Czelusniak, Danyi Wen, Suzanne M. Bertisch and Boissel Jp. Their work appears in journals such as SLEEP, Journal of Cell Science, Sleep Health, Neurology Neuroimmunology & Neuroinflammation and Blood.
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.