Dena R. Howland
- Computational Mathematics top 2%
- Developmental Neuroscience top 2%
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- Nerve injury and regeneration 11
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- Spinal Cord Injury Research 22
- Rehabilitation top 2%
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- Cerebral Palsy and Movement Disorders 10
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- Veterinary Orthopedics and Neurology 6
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- Neuroscience of respiration and sleep 6
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- Dysphagia Assessment and Management 6
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- Nerve Injury and Rehabilitation 6
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- Proteoglycans and glycosaminoglycans research 5
- Co-authors
- Douglas K. AndersonNicole J. TesterMichele L. LemonsJohn D. SandyPaul J. ReierAnna PlaasMichael E. GoldbergerBarbara S. Bregman
- Partner nations
- United StatesCanadaSlovakia
In The Last Decade
Dena R. Howland
51 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 110
- Computational Mathematics 43
- Developmental Neuroscience 237
- Cellular and Molecular Neuroscience 664
- Pathology and Forensic Medicine 629
- Rehabilitation 169
Countries citing papers authored by Dena R. Howland
This map shows the geographic impact of Dena R. Howland'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 Dena R. Howland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dena R. Howland more than expected).
Fields of papers citing papers by Dena R. Howland
This network shows the impact of papers produced by Dena R. Howland. 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 Dena R. Howland. The network helps show where Dena R. Howland may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dena R. Howland, 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 | 2 | |
| 2 | 2023 | 4 | |
| 3 | 2022 | 11 | |
| 4 | 2022 | 14 | |
| 5 | 2021 | 1 | |
| 6 | 2020 | 15 | |
| 7 | 2019 | 5 | |
| 8 | 2018 | 11 | |
| 9 | 2016 | 14 | |
| 10 | 2016 | 8 | |
| 11 | 2015 | 16 | |
| 12 | 2012 | 3 | |
| 13 | 2011 | 61 | |
| 14 | 2010 | 9 | |
| 15 | 2009 | 18 | |
| 16 | 2008 | 95 | |
| 17 | 2007 | 91 | |
| 18 | 2005 | 177 | |
| 19 | 1999 | 200 | |
| 20 | 1995 | 54 |
About Dena R. Howland
Dena R. Howland is a scholar working on Computational Mathematics, Pathology and Forensic Medicine and Small Animals, having authored 52 papers that have together received 1.7k indexed citations. Recurring topics across this work include Spinal Cord Injury Research (22 papers), Nerve injury and regeneration (11 papers), Cerebral Palsy and Movement Disorders (10 papers), Veterinary Orthopedics and Neurology (6 papers), Neuroscience of respiration and sleep (6 papers), Dysphagia Assessment and Management (6 papers), Nerve Injury and Rehabilitation (6 papers) and Proteoglycans and glycosaminoglycans research (5 papers). The work is most often cited by research in Computational Mathematics (43 citations), Developmental Neuroscience (237 citations) and Cellular and Molecular Neuroscience (664 citations). Dena R. Howland has collaborated with scholars based in United States, Canada and Slovakia. Frequent co-authors include Douglas K. Anderson, Nicole J. Tester, Michele L. Lemons, John D. Sandy, Paul J. Reier, Anna Plaas, Michael E. Goldberger, Barbara S. Bregman, Andrea L. Behrman and John R. Forder. Their work appears in journals such as Journal of Neuroscience, PLoS ONE and NeuroImage.
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.