Donovan J. Lott
- Molecular Biology top 10%
- Biomedical Engineering top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Physiology top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Co-authors
- Krista VandenborneClaudia SenesacMichael J. MuellerGlenn A. WalterH. Lee SweeneySean C. ForbesWilliam TriplettRebecca J. Willcocks
- Topics
- Muscle Physiology and Disorders (38 papers)Muscle activation and electromyography studies (15 papers)Diabetic Foot Ulcer Assessment and Management (10 papers)
- Journals
- PLoS ONENeurologyDiabetes Care
- Partner nations
- United StatesCanadaItaly
In The Last Decade
Donovan J. Lott
57 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 94
- Molecular Biology 1.2k
- Biomedical Engineering 680
- Endocrinology, Diabetes and Metabolism 429
- Physiology 421
- Cardiology and Cardiovascular Medicine 330
Countries citing papers authored by Donovan J. Lott
This map shows the geographic impact of Donovan J. Lott'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 Donovan J. Lott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donovan J. Lott more than expected).
Fields of papers citing papers by Donovan J. Lott
This network shows the impact of papers produced by Donovan J. Lott. 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 Donovan J. Lott. The network helps show where Donovan J. Lott may publish in the future.
Co-authorship network of co-authors of Donovan J. Lott
This figure shows the co-authorship network connecting the top 25 collaborators of Donovan J. Lott. A scholar is included among the top collaborators of Donovan J. Lott based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Donovan J. Lott. Donovan J. Lott is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 10 | |
| 4 | 26 | |
| 5 | 0 | |
| 6 | 8 | |
| 7 | 36 | |
| 8 | 111 | |
| 9 | 87 | |
| 10 | 38 | |
| 11 | 33 | |
| 12 | 68 | |
| 13 | 95 | |
| 14 | 69 | |
| 15 | 23 | |
| 16 | 95 | |
| 17 | 71 | |
| 18 | 56 | |
| 19 | 43 | |
| 20 | 61 |
About Donovan J. Lott
Donovan J. Lott is a scholar working on Occupational Therapy, Rehabilitation and Endocrinology, Diabetes and Metabolism, having authored 60 papers that have together received 2.2k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (38 papers), Muscle activation and electromyography studies (15 papers) and Diabetic Foot Ulcer Assessment and Management (10 papers). The work is most often cited by research in Occupational Therapy (199 citations), Rehabilitation (310 citations) and Endocrinology, Diabetes and Metabolism (429 citations). Donovan J. Lott has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Krista Vandenborne, Claudia Senesac, Michael J. Mueller, Glenn A. Walter, H. Lee Sweeney, Sean C. Forbes, William Triplett, Rebecca J. Willcocks, Michael J. Daniels and Dequan Zou. Their work appears in journals such as PLoS ONE, Neurology and Diabetes Care.
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.