Ivan F. M. Lo
- Genetics top 2%
- Molecular Biology top 10%
- Cognitive Neuroscience top 10%
- Pediatrics, Perinatology and Child Health top 10%
- Surgery
- Co-authors
- Ho‐Ming LukStephen T.S. LamH.-R. SongJosé Luiz Pinto PereiraRuthie E. AmirSarojini BuddenElisa J. F. HouwinkHuda Y. Zoghbi
- Topics
- Genomic variations and chromosomal abnormalities (20 papers)Genomics and Rare Diseases (13 papers)Prenatal Screening and Diagnostics (11 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsThe American Journal of Human Genetics
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Ivan F. M. Lo
91 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 78
- Genetics 769
- Molecular Biology 740
- Cognitive Neuroscience 255
- Pediatrics, Perinatology and Child Health 157
- Surgery 105
Countries citing papers authored by Ivan F. M. Lo
This map shows the geographic impact of Ivan F. M. Lo'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 Ivan F. M. Lo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan F. M. Lo more than expected).
Fields of papers citing papers by Ivan F. M. Lo
This network shows the impact of papers produced by Ivan F. M. Lo. 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 Ivan F. M. Lo. The network helps show where Ivan F. M. Lo may publish in the future.
Co-authorship network of co-authors of Ivan F. M. Lo
This figure shows the co-authorship network connecting the top 25 collaborators of Ivan F. M. Lo. A scholar is included among the top collaborators of Ivan F. M. Lo 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 Ivan F. M. Lo. Ivan F. M. Lo 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 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 5 | |
| 9 | 12 | |
| 10 | Target-enriched massively parallel sequencing for genetic diagnosis of hereditary hearing loss in patients with normal array CGH result. | 3 |
| 11 | 18 | |
| 12 | 3 | |
| 13 | 1 | |
| 14 | Clinical and Molecular Characteristics of Cardio-facio-cutaneous Syndrome in Hong Kong Chinese | 1 |
| 15 | 2 | |
| 16 | 9 | |
| 17 | 56 | |
| 18 | Missense mutations of the fibrillin-1 gene in two Chinese patients with severe Marfan syndrome. | 6 |
| 19 | 369 | |
| 20 | 4 |
About Ivan F. M. Lo
Ivan F. M. Lo is a scholar working on Genetics, Pediatrics, Perinatology and Child Health and Genetics, having authored 98 papers that have together received 1.3k indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (20 papers), Genomics and Rare Diseases (13 papers) and Prenatal Screening and Diagnostics (11 papers). The work is most often cited by research in Genetics (769 citations), Cognitive Neuroscience (255 citations) and Molecular Biology (740 citations). Ivan F. M. Lo has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Ho‐Ming Luk, Stephen T.S. Lam, H.-R. Song, José Luiz Pinto Pereira, Ruthie E. Amir, Sarojini Budden, Elisa J. F. Houwink, Huda Y. Zoghbi, Xianyu Zhang and N. Carolyn Schanen. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and The American Journal of Human Genetics.
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.