Venu Akuthota
- Pharmacology top 1%
- Surgery top 5%
- Orthopedics and Sports Medicine top 1%
- Pathology and Forensic Medicine top 5%
- Biomedical Engineering top 10%
- Co-authors
- Scott F. NadlerAndrea FerreiroMichael FredericsonEric C. McCartyWilliam J. SullivanPaul LentoPeter GonzalezCynthia Garvan
- Topics
- Musculoskeletal pain and rehabilitation (28 papers)Spine and Intervertebral Disc Pathology (24 papers)Sports injuries and prevention (13 papers)
- Cited by
- Orthopedics and Sports MedicinePharmacologyPhysical Therapy, Sports Therapy and Rehabilitation
- Partner nations
- United StatesIsraelUnited Kingdom
In The Last Decade
Venu Akuthota
47 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Pharmacology 787
- Surgery 692
- Orthopedics and Sports Medicine 673
- Pathology and Forensic Medicine 437
- Biomedical Engineering 343
Countries citing papers authored by Venu Akuthota
This map shows the geographic impact of Venu Akuthota'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 Venu Akuthota with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Venu Akuthota more than expected).
Fields of papers citing papers by Venu Akuthota
This network shows the impact of papers produced by Venu Akuthota. 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 Venu Akuthota. The network helps show where Venu Akuthota may publish in the future.
Co-authorship network of co-authors of Venu Akuthota
This figure shows the co-authorship network connecting the top 25 collaborators of Venu Akuthota. A scholar is included among the top collaborators of Venu Akuthota 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 Venu Akuthota. Venu Akuthota 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 | 1 | |
| 3 | 4 | |
| 4 | 5 | |
| 5 | 2 | |
| 6 | 18 | |
| 7 | 3 | |
| 8 | 11 | |
| 9 | 8 | |
| 10 | 1 | |
| 11 | 38 | |
| 12 | 1 | |
| 13 | 7 | |
| 14 | 60 | |
| 15 | 86 | |
| 16 | 28 | |
| 17 | 431 | |
| 18 | 1 | |
| 19 | 23 | |
| 20 | 21 |
About Venu Akuthota
Venu Akuthota is a scholar working on Pharmacology, Orthopedics and Sports Medicine and Pathology and Forensic Medicine, having authored 52 papers that have together received 1.8k indexed citations. Recurring topics across this work include Musculoskeletal pain and rehabilitation (28 papers), Spine and Intervertebral Disc Pathology (24 papers) and Sports injuries and prevention (13 papers). The work is most often cited by research in Orthopedics and Sports Medicine (673 citations), Pharmacology (787 citations) and Physical Therapy, Sports Therapy and Rehabilitation (119 citations). Venu Akuthota has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Scott F. Nadler, Andrea Ferreiro, Michael Fredericson, Eric C. McCarty, William J. Sullivan, Paul Lento, Peter Gonzalez, Cynthia Garvan, Kavita Nair and Richard R. Allen. Their work appears in journals such as Pain, Spine and Medicine & Science in Sports & Exercise.
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.