Joanne B. Cole
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 2%
- Genetics top 5%
- Physiology top 10%
- Epidemiology top 10%
- Co-authors
- José C. FlorezJoel N. HirschhornJosep M. MercaderMiriam S. UdlerJoshua ChiouJason FlannickJaegil KimMarcin von Grotthuss
- Topics
- Genetic Associations and Epidemiology (11 papers)Genetic and phenotypic traits in livestock (6 papers)Morphological variations and asymmetry (4 papers)
- Partner nations
- United StatesCanadaTanzania
In The Last Decade
Joanne B. Cole
22 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Molecular Biology 637
- Endocrinology, Diabetes and Metabolism 502
- Genetics 480
- Physiology 271
- Epidemiology 250
Countries citing papers authored by Joanne B. Cole
This map shows the geographic impact of Joanne B. Cole'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 Joanne B. Cole with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joanne B. Cole more than expected).
Fields of papers citing papers by Joanne B. Cole
This network shows the impact of papers produced by Joanne B. Cole. 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 Joanne B. Cole. The network helps show where Joanne B. Cole may publish in the future.
Co-authorship network of co-authors of Joanne B. Cole
This figure shows the co-authorship network connecting the top 25 collaborators of Joanne B. Cole. A scholar is included among the top collaborators of Joanne B. Cole 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 Joanne B. Cole. Joanne B. Cole 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 | 2 | |
| 3 | 1 | |
| 4 | 31 | |
| 5 | 22 | |
| 6 | 20 | |
| 7 | 72 | |
| 8 | 36 | |
| 9 | 25 | |
| 10 | 2 | |
| 11 | 7 | |
| 12 | 88 | |
| 13 | 17 | |
| 14 | 91 | |
| 15 | Genetics of diabetes mellitus and diabetes complicationsbreakdown → | 1127 |
| 16 | Type 2 diabetes genetic loci informed by multi-trait associations point to disease mechanisms and subtypes: A soft clustering analysisbreakdown → | 305 |
| 17 | 26 | |
| 18 | 4 | |
| 19 | 21 | |
| 20 | 57 |
About Joanne B. Cole
Joanne B. Cole is a scholar working on Genetics, Geometry and Topology and Nephrology, having authored 23 papers that have together received 2.0k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (11 papers), Genetic and phenotypic traits in livestock (6 papers) and Morphological variations and asymmetry (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (502 citations), Genetics (480 citations) and Nephrology (79 citations). Joanne B. Cole has collaborated with scholars based in United States, Canada and Tanzania. Frequent co-authors include José C. Florez, Joel N. Hirschhorn, Josep M. Mercader, Miriam S. Udler, Joshua Chiou, Jason Flannick, Jaegil Kim, Marcin von Grotthuss, Kyle J. Gaulton and Benjamin Gläser. Their work appears in journals such as Nature, Nature Communications and Nature 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.