L.A. Benevento
- Cognitive Neuroscience top 0.5%
- Cellular and Molecular Neuroscience top 1%
- Molecular Biology
- Experimental and Cognitive Psychology top 5%
- Neurology top 2%
- Co-authors
- Michael RezakJames H. FallonGregg P. StandageU. KuhntO. CreutzfeldtBarry J. DavisFord F. EbnerKazunori Yoshida
- Topics
- Neural dynamics and brain function (29 papers)Visual perception and processing mechanisms (23 papers)Retinal Development and Disorders (11 papers)
- Partner nations
- United StatesGermany
In The Last Decade
L.A. Benevento
42 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 95
- Cognitive Neuroscience 2.6k
- Cellular and Molecular Neuroscience 1.1k
- Molecular Biology 678
- Experimental and Cognitive Psychology 320
- Neurology 314
Countries citing papers authored by L.A. Benevento
This map shows the geographic impact of L.A. Benevento'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 L.A. Benevento with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L.A. Benevento more than expected).
Fields of papers citing papers by L.A. Benevento
This network shows the impact of papers produced by L.A. Benevento. 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 L.A. Benevento. The network helps show where L.A. Benevento may publish in the future.
Co-authorship network of co-authors of L.A. Benevento
This figure shows the co-authorship network connecting the top 25 collaborators of L.A. Benevento. A scholar is included among the top collaborators of L.A. Benevento 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 L.A. Benevento. L.A. Benevento is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 63 | |
| 2 | 95 | |
| 3 | 16 | |
| 4 | 67 | |
| 5 | 38 | |
| 6 | 54 | |
| 7 | 19 | |
| 8 | 53 | |
| 9 | 102 | |
| 10 | 26 | |
| 11 | 162 | |
| 12 | 36 | |
| 13 | 122 | |
| 14 | A horseradish peroxidase study of the innervation of the internal structures of the eye. Evidence for a direct pathway. | 29 |
| 15 | 221 | |
| 16 | 290 | |
| 17 | 62 | |
| 18 | 7 | |
| 19 | 18 | |
| 20 | 35 |
About L.A. Benevento
L.A. Benevento is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Neurology, having authored 42 papers that have together received 3.2k indexed citations. Recurring topics across this work include Neural dynamics and brain function (29 papers), Visual perception and processing mechanisms (23 papers) and Retinal Development and Disorders (11 papers). The work is most often cited by research in Cognitive Neuroscience (2.6k citations), Cellular and Molecular Neuroscience (1.1k citations) and Sensory Systems (287 citations). L.A. Benevento has collaborated with scholars based in United States and Germany. Frequent co-authors include Michael Rezak, James H. Fallon, Gregg P. Standage, U. Kuhnt, O. Creutzfeldt, Barry J. Davis, Ford F. Ebner, Kazunori Yoshida, R.S. Cohen and Barclay W. Bakkum. Their work appears in journals such as Neurology, The Journal of Comparative Neurology and Brain Research.
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.