Christopher D. Lascola
- Molecular Biology top 10%
- Genetics top 5%
- Cognitive Neuroscience top 2%
- Cellular and Molecular Neuroscience top 5%
- Oncology top 10%
- Co-authors
- Talaignair N. VenkatramanZhanyan FuMichael F. WellsJoão PeçaWenting WangGuoping FengJonathan T. TingCátia Feliciano
- Topics
- Intracerebral and Subarachnoid Hemorrhage Research (10 papers)Acute Ischemic Stroke Management (7 papers)Neurosurgical Procedures and Complications (4 papers)
- Partner nations
- United StatesChinaSingapore
In The Last Decade
Christopher D. Lascola
38 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Molecular Biology 926
- Genetics 695
- Cognitive Neuroscience 669
- Cellular and Molecular Neuroscience 415
- Oncology 268
Countries citing papers authored by Christopher D. Lascola
This map shows the geographic impact of Christopher D. Lascola'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 Christopher D. Lascola with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher D. Lascola more than expected).
Fields of papers citing papers by Christopher D. Lascola
This network shows the impact of papers produced by Christopher D. Lascola. 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 Christopher D. Lascola. The network helps show where Christopher D. Lascola may publish in the future.
Co-authorship network of co-authors of Christopher D. Lascola
This figure shows the co-authorship network connecting the top 25 collaborators of Christopher D. Lascola. A scholar is included among the top collaborators of Christopher D. Lascola 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 Christopher D. Lascola. Christopher D. Lascola is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 11 | |
| 4 | 14 | |
| 5 | 22 | |
| 6 | 47 | |
| 7 | 51 | |
| 8 | 39 | |
| 9 | 58 | |
| 10 | 21 | |
| 11 | 27 | |
| 12 | 19 | |
| 13 | 28 | |
| 14 | 16 | |
| 15 | 1 | |
| 16 | 0 | |
| 17 | 54 | |
| 18 | 140 | |
| 19 | Shank3 mutant mice display autistic-like behaviours and striatal dysfunctionbreakdown → | 1137 |
| 20 | 47 |
About Christopher D. Lascola
Christopher D. Lascola is a scholar working on Neurology, Critical Care and Intensive Care Medicine and Developmental Neuroscience, having authored 39 papers that have together received 2.4k indexed citations. Recurring topics across this work include Intracerebral and Subarachnoid Hemorrhage Research (10 papers), Acute Ischemic Stroke Management (7 papers) and Neurosurgical Procedures and Complications (4 papers). The work is most often cited by research in Developmental Neuroscience (156 citations), Cognitive Neuroscience (669 citations) and Genetics (695 citations). Christopher D. Lascola has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Talaignair N. Venkatraman, Zhanyan Fu, Michael F. Wells, João Peça, Wenting Wang, Guoping Feng, Jonathan T. Ting, Cátia Feliciano, Michael L. James and Daniel T. Laskowitz. Their work appears in journals such as Nature, Circulation and Journal of Neuroscience.
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.