Richard L. Neu
- Genetics top 5%
- Pediatrics, Perinatology and Child Health top 5%
- Molecular Biology
- Plant Science
- Surgery
- Co-authors
- Lytt I. GardnerTadashi KajiiGerald J. BargmanPeter BennDaniel L. Van DykePhilip WyattRodney R. HigginsLauren S. Jenkins
- Topics
- Genomic variations and chromosomal abnormalities (16 papers)Prenatal Screening and Diagnostics (12 papers)Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (9 papers)
- Partner nations
- United StatesChileCanada
In The Last Decade
Richard L. Neu
41 papers receiving 508 citations
Peers
Comparison fields: 5 of 54
- Genetics 375
- Pediatrics, Perinatology and Child Health 267
- Molecular Biology 214
- Plant Science 85
- Surgery 80
Countries citing papers authored by Richard L. Neu
This map shows the geographic impact of Richard L. Neu'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 Richard L. Neu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard L. Neu more than expected).
Fields of papers citing papers by Richard L. Neu
This network shows the impact of papers produced by Richard L. Neu. 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 Richard L. Neu. The network helps show where Richard L. Neu may publish in the future.
Co-authorship network of co-authors of Richard L. Neu
This figure shows the co-authorship network connecting the top 25 collaborators of Richard L. Neu. A scholar is included among the top collaborators of Richard L. Neu 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 Richard L. Neu. Richard L. Neu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 143 | |
| 2 | 2 | |
| 3 | 18 | |
| 4 | 10 | |
| 5 | 19 | |
| 6 | 7 | |
| 7 | 21 | |
| 8 | 1 | |
| 9 | 5 | |
| 10 | Delta8- and Delta9-tetrahydrocannabinol: effects on cultured human leucocytes. | 10 |
| 11 | 8 | |
| 12 | 12 | |
| 13 | 4 | |
| 14 | 24 | |
| 15 | 6 | |
| 16 | 3 | |
| 17 | 8 | |
| 18 | 16 | |
| 19 | 17 | |
| 20 | 11 |
About Richard L. Neu
Richard L. Neu is a scholar working on Developmental Biology, Genetics and Pediatrics, Perinatology and Child Health, having authored 41 papers that have together received 581 indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (16 papers), Prenatal Screening and Diagnostics (12 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (9 papers). The work is most often cited by research in Developmental Biology (34 citations), Pediatrics, Perinatology and Child Health (267 citations) and Genetics (375 citations). Richard L. Neu has collaborated with scholars based in United States, Chile and Canada. Frequent co-authors include Lytt I. Gardner, Tadashi Kajii, Gerald J. Bargman, Peter Benn, Daniel L. Van Dyke, Philip Wyatt, Rodney R. Higgins, Lauren S. Jenkins, Lisa G. Shaffer and Dagmar K. Kalousek. Their work appears in journals such as Nature, The Lancet and The Journal of Clinical Endocrinology & Metabolism.
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.