Stephanie L. Chissoe
- Molecular Biology
- Genetics top 10%
- Hematology top 10%
- Plant Science
- Genetics
- Co-authors
- Bruce A. RoeMatthew R. NelsonSandra W. CliftonSylvie DiriongVéronique BaudDawn WaterworthCông Văn NguyếnE. Viégas-Pèquignot
- Topics
- Genetic Associations and Epidemiology (4 papers)Bacteriophages and microbial interactions (3 papers)Statistical Methods in Clinical Trials (3 papers)
- Cited by
- HematologyGenetics
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Stephanie L. Chissoe
19 papers receiving 685 citations
Peers
Comparison fields: 5 of 89
- Molecular Biology 390
- Genetics 191
- Hematology 94
- Plant Science 70
- Genetics 64
Countries citing papers authored by Stephanie L. Chissoe
This map shows the geographic impact of Stephanie L. Chissoe'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 Stephanie L. Chissoe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephanie L. Chissoe more than expected).
Fields of papers citing papers by Stephanie L. Chissoe
This network shows the impact of papers produced by Stephanie L. Chissoe. 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 Stephanie L. Chissoe. The network helps show where Stephanie L. Chissoe may publish in the future.
Co-authorship network of co-authors of Stephanie L. Chissoe
This figure shows the co-authorship network connecting the top 25 collaborators of Stephanie L. Chissoe. A scholar is included among the top collaborators of Stephanie L. Chissoe 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 Stephanie L. Chissoe. Stephanie L. Chissoe 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 | 15 | |
| 3 | 29 | |
| 4 | 34 | |
| 5 | 74 | |
| 6 | 3 | |
| 7 | 7 | |
| 8 | 24 | |
| 9 | 40 | |
| 10 | 40 | |
| 11 | DNA sequence of human chromosome 22 | 1 |
| 12 | 51 | |
| 13 | 36 | |
| 14 | 13 | |
| 15 | 155 | |
| 16 | 94 | |
| 17 | 22 | |
| 18 | 27 | |
| 19 | The Complete Nucleotide Sequences of the pSacBII P1 Cloning Vector and Three Cosmid Cloning Vectors: pTCF, svPHEP, and LAWRIST16 | 4 |
| 20 | 29 |
About Stephanie L. Chissoe
Stephanie L. Chissoe is a scholar working on Statistics and Probability, Genetics and Pharmacology, having authored 20 papers that have together received 698 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (4 papers), Bacteriophages and microbial interactions (3 papers) and Statistical Methods in Clinical Trials (3 papers). The work is most often cited by research in Hematology (94 citations), Genetics (191 citations) and Genetics (64 citations). Stephanie L. Chissoe has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Bruce A. Roe, Matthew R. Nelson, Sandra W. Clifton, Sylvie Diriong, Véronique Baud, Dawn Waterworth, Công Văn Nguyến, E. Viégas-Pèquignot, Marc Lipinski and Liling Warren. Their work appears in journals such as Nucleic Acids Research, PLoS ONE and Nature Reviews 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.