Walt F. Lima
- Molecular Biology top 2%
- Cancer Research top 5%
- Genetics top 10%
- Cellular and Molecular Neuroscience top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Co-authors
- Stanley T. CrookeHongjiang WuThazha P. PrakashGeorge W. RogersWilliam C. MerrickEric E. SwayzeJosh G. NicholsBrett P. Monia
- Topics
- DNA and Nucleic Acid Chemistry (24 papers)RNA and protein synthesis mechanisms (23 papers)RNA Interference and Gene Delivery (17 papers)
- Journals
- CellProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- United StatesUnited KingdomPoland
In The Last Decade
Walt F. Lima
42 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Molecular Biology 3.1k
- Cancer Research 431
- Genetics 236
- Cellular and Molecular Neuroscience 230
- Cardiology and Cardiovascular Medicine 172
Countries citing papers authored by Walt F. Lima
This map shows the geographic impact of Walt F. Lima'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 Walt F. Lima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Walt F. Lima more than expected).
Fields of papers citing papers by Walt F. Lima
This network shows the impact of papers produced by Walt F. Lima. 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 Walt F. Lima. The network helps show where Walt F. Lima may publish in the future.
Co-authorship network of co-authors of Walt F. Lima
This figure shows the co-authorship network connecting the top 25 collaborators of Walt F. Lima. A scholar is included among the top collaborators of Walt F. Lima 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 Walt F. Lima. Walt F. Lima is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 27 | |
| 2 | 54 | |
| 3 | 84 | |
| 4 | 93 | |
| 5 | 44 | |
| 6 | 32 | |
| 7 | 218 | |
| 8 | 205 | |
| 9 | 29 | |
| 10 | 35 | |
| 11 | 62 | |
| 12 | 24 | |
| 13 | 10 | |
| 14 | 267 | |
| 15 | 65 | |
| 16 | 20 | |
| 17 | 263 | |
| 18 | 30 | |
| 19 | 138 | |
| 20 | 186 |
About Walt F. Lima
Walt F. Lima is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics, having authored 42 papers that have together received 3.4k indexed citations. Recurring topics across this work include DNA and Nucleic Acid Chemistry (24 papers), RNA and protein synthesis mechanisms (23 papers) and RNA Interference and Gene Delivery (17 papers). The work is most often cited by research in Molecular Biology (3.1k citations), Cancer Research (431 citations) and Cellular and Molecular Neuroscience (230 citations). Walt F. Lima has collaborated with scholars based in United States, United Kingdom and Poland. Frequent co-authors include Stanley T. Crooke, Hongjiang Wu, Thazha P. Prakash, George W. Rogers, William C. Merrick, Eric E. Swayze, Josh G. Nichols, Brett P. Monia, Heather Murray and Punit P. Seth. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.