Kwame Anyane‐Yeboa
- Molecular Biology top 10%
- Genetics top 1%
- Pediatrics, Perinatology and Child Health top 5%
- Surgery
- Epidemiology top 10%
- Co-authors
- Dorothy WarburtonStephen BrownAshley WilsonWendy K. ChungSteven L. GersenEdwin R. GuzmanVaidehi JobanputraChristina Sobin
- Topics
- Genomic variations and chromosomal abnormalities (18 papers)Prenatal Screening and Diagnostics (11 papers)Genomics and Rare Diseases (7 papers)
- Journals
- Nature GeneticsThe Journal of Clinical Endocrinology & MetabolismAmerican Journal of Public Health
- Partner nations
- United StatesCanadaNetherlands
In The Last Decade
Kwame Anyane‐Yeboa
66 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 98
- Molecular Biology 1.3k
- Genetics 1.2k
- Pediatrics, Perinatology and Child Health 361
- Surgery 277
- Epidemiology 270
Countries citing papers authored by Kwame Anyane‐Yeboa
This map shows the geographic impact of Kwame Anyane‐Yeboa'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 Kwame Anyane‐Yeboa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kwame Anyane‐Yeboa more than expected).
Fields of papers citing papers by Kwame Anyane‐Yeboa
This network shows the impact of papers produced by Kwame Anyane‐Yeboa. 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 Kwame Anyane‐Yeboa. The network helps show where Kwame Anyane‐Yeboa may publish in the future.
Co-authorship network of co-authors of Kwame Anyane‐Yeboa
This figure shows the co-authorship network connecting the top 25 collaborators of Kwame Anyane‐Yeboa. A scholar is included among the top collaborators of Kwame Anyane‐Yeboa 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 Kwame Anyane‐Yeboa. Kwame Anyane‐Yeboa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 2 | |
| 3 | 40 | |
| 4 | 14 | |
| 5 | 27 | |
| 6 | 2 | |
| 7 | 80 | |
| 8 | 10 | |
| 9 | 4 | |
| 10 | 21 | |
| 11 | 40 | |
| 12 | 9 | |
| 13 | 20 | |
| 14 | 26 | |
| 15 | 84 | |
| 16 | 25 | |
| 17 | 85 | |
| 18 | 29 | |
| 19 | 32 | |
| 20 | 14 |
About Kwame Anyane‐Yeboa
Kwame Anyane‐Yeboa is a scholar working on Genetics, Genetics and Urology, having authored 66 papers that have together received 2.3k indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (18 papers), Prenatal Screening and Diagnostics (11 papers) and Genomics and Rare Diseases (7 papers). The work is most often cited by research in Genetics (1.2k citations), Developmental Biology (45 citations) and Molecular Biology (1.3k citations). Kwame Anyane‐Yeboa has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Dorothy Warburton, Dorothy Warburton, Stephen Brown, Ashley Wilson, Wendy K. Chung, Steven L. Gersen, Edwin R. Guzman, Vaidehi Jobanputra, Christina Sobin and Maude L. Blundell. Their work appears in journals such as Nature Genetics, The Journal of Clinical Endocrinology & Metabolism and American Journal of Public Health.
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.