Helen Donis-Keller
- Molecular Biology top 1%
- Genetics top 0.5%
- Endocrinology, Diabetes and Metabolism top 1%
- Oncology top 2%
- Epidemiology top 2%
- Co-authors
- Walter GilbertAllan M. MaxamSamuel A. WellsKoji ToshimaDavid ChiPaul J. GoodfellowKatrin M. CarlsonJeffrey F. Moley
- Topics
- Genomic variations and chromosomal abnormalities (21 papers)Chromosomal and Genetic Variations (19 papers)Genomics and Chromatin Dynamics (17 papers)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Helen Donis-Keller
104 papers receiving 8.2k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Molecular Biology 4.8k
- Genetics 2.4k
- Endocrinology, Diabetes and Metabolism 1.3k
- Oncology 1.1k
- Epidemiology 979
Countries citing papers authored by Helen Donis-Keller
This map shows the geographic impact of Helen Donis-Keller'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 Helen Donis-Keller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Helen Donis-Keller more than expected).
Fields of papers citing papers by Helen Donis-Keller
This network shows the impact of papers produced by Helen Donis-Keller. 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 Helen Donis-Keller. The network helps show where Helen Donis-Keller may publish in the future.
Co-authorship network of co-authors of Helen Donis-Keller
This figure shows the co-authorship network connecting the top 25 collaborators of Helen Donis-Keller. A scholar is included among the top collaborators of Helen Donis-Keller 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 Helen Donis-Keller. Helen Donis-Keller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 18 | |
| 3 | Identification of chromosomal loci for tumor suppressor loci implicated in progression of pheochromocytoma and medullary thyroid carcinoma | 1 |
| 4 | 303 | |
| 5 | 90 | |
| 6 | 1 | |
| 7 | 28 | |
| 8 | 76 | |
| 9 | 41 | |
| 10 | 1 | |
| 11 | 50 | |
| 12 | 12 | |
| 13 | 12 | |
| 14 | 6 | |
| 15 | 2 | |
| 16 | 29 | |
| 17 | 54 | |
| 18 | A FINE-STRUCTURE LINKAGE MAP FOR CHROMOSOME-13 | 21 |
| 19 | Prenatal diagnosis of cystic fibrosis by chorionic villus sampling using 12 polymorphic deoxyribonucleic acid markers. | 4 |
| 20 | 11 |
About Helen Donis-Keller
Helen Donis-Keller is a scholar working on Genetics, Molecular Biology and Architecture, having authored 105 papers that have together received 8.6k indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (21 papers), Chromosomal and Genetic Variations (19 papers) and Genomics and Chromatin Dynamics (17 papers). The work is most often cited by research in Genetics (2.4k citations), Endocrinology, Diabetes and Metabolism (1.3k citations) and Molecular Biology (4.8k citations). Helen Donis-Keller has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Walter Gilbert, Allan M. Maxam, Samuel A. Wells, Koji Toshima, David Chi, Paul J. Goodfellow, Katrin M. Carlson, Jeffrey F. Moley, James R. Howe and Terry C. Lairmore. Their work appears in journals such as Nature, Science and New England Journal of Medicine.
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.