Robert Meadows
- Molecular Biology top 0.5%
- Signaling Pathways in Disease 12
- Cell death mechanisms and regulation 10
- Protein Kinase Regulation and GTPase Signaling 5
- RNA and protein synthesis mechanisms 5
- Computational Theory and Mathematics top 0.5%
- Immunology top 2%
- Oncology top 2%
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- Sleep and related disorders 22
- Sleep and Work-Related Fatigue 6
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- Sleep and Wakefulness Research 15
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- Monoclonal and Polyclonal Antibodies Research 7
- Co-authors
- Stephen W. FesikPhilip J. HajdukSuzanne B. ShukerEdward T. OlejniczakDavid G. NettesheimJohn E. HarlanHo Sup YoonSara Arber
- Journals
- Biochemistry (10 papers)Nature (8 papers)Journal of the American Chemical Society (5 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Robert Meadows
95 papers receiving 9.7k citations
Hit Papers
Peers
Comparison fields: 5 of 190
- Molecular Biology 7.7k
- Computational Theory and Mathematics 877
- Immunology 1.1k
- Oncology 1.4k
- Experimental and Cognitive Psychology 561
Countries citing papers authored by Robert Meadows
This map shows the geographic impact of Robert Meadows'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 Robert Meadows with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Meadows more than expected).
Fields of papers citing papers by Robert Meadows
This network shows the impact of papers produced by Robert Meadows. 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 Robert Meadows. The network helps show where Robert Meadows may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Robert Meadows, 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 | 2024 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 3 | |
| 5 | 2022 | 3 | |
| 6 | 2020 | 6 | |
| 7 | 2020 | 4 | |
| 8 | 2018 | 10 | |
| 9 | 2017 | 6 | |
| 10 | 2013 | 159 | |
| 11 | Social and health patterning of sleep quality and duration | 2011 | 2 |
| 12 | 2010 | 15 | |
| 13 | 2008 | 226 | |
| 14 | 2001 | 74 | |
| 15 | 2000 | 334 | |
| 16 | 1999 | 272 | |
| 17 | 1998 | 151 | |
| 18 | 1998 | 212 | |
| 19 | 1996 | 121 | |
| 20 | 1994 | 75 |
About Robert Meadows
Robert Meadows is a scholar working on Experimental and Cognitive Psychology, Cognitive Neuroscience and Endocrine and Autonomic Systems, having authored 95 papers that have together received 10.1k indexed citations. Recurring topics across this work include Sleep and related disorders (22 papers), Sleep and Wakefulness Research (15 papers), Signaling Pathways in Disease (12 papers), Cell death mechanisms and regulation (10 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Sleep and Work-Related Fatigue (6 papers), Protein Kinase Regulation and GTPase Signaling (5 papers) and RNA and protein synthesis mechanisms (5 papers). The work is most often cited by research in Molecular Biology (7.7k citations), Computational Theory and Mathematics (877 citations) and Immunology (1.1k citations). Robert Meadows has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Stephen W. Fesik, Philip J. Hajduk, Suzanne B. Shuker, Edward T. Olejniczak, David G. Nettesheim, John E. Harlan, Ho Sup Yoon, Sara Arber, Michael Sattler and Heng Liang. Their work appears in journals such as Biochemistry, Nature, Journal of the American Chemical Society, Sociology of Health & Illness and Social Science & Medicine.
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.