Jill M. Brown
- Molecular Biology top 5%
- Genetics top 5%
- Plant Science top 10%
- Hematology top 5%
- Cancer Research top 10%
- Co-authors
- Veronica J. BuckleDouglas R. HiggsJim R. HughesW. G. WoodFrancisco J. IborraLothar SchermellehJames DaviesRobert E. Kearney
- Topics
- Genomics and Chromatin Dynamics (12 papers)Genomic variations and chromosomal abnormalities (9 papers)Acute Myeloid Leukemia Research (8 papers)
- Journals
- NatureScienceNature Medicine
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Jill M. Brown
41 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 105
- Molecular Biology 1.7k
- Genetics 412
- Plant Science 359
- Hematology 291
- Cancer Research 241
Countries citing papers authored by Jill M. Brown
This map shows the geographic impact of Jill M. Brown'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 Jill M. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jill M. Brown more than expected).
Fields of papers citing papers by Jill M. Brown
This network shows the impact of papers produced by Jill M. Brown. 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 Jill M. Brown. The network helps show where Jill M. Brown may publish in the future.
Co-authorship network of co-authors of Jill M. Brown
This figure shows the co-authorship network connecting the top 25 collaborators of Jill M. Brown. A scholar is included among the top collaborators of Jill M. Brown 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 Jill M. Brown. Jill M. Brown 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 | 16 | |
| 3 | 7 | |
| 4 | 29 | |
| 5 | 121 | |
| 6 | 20 | |
| 7 | 121 | |
| 8 | 129 | |
| 9 | 17 | |
| 10 | 134 | |
| 11 | 194 | |
| 12 | 114 | |
| 13 | 34 | |
| 14 | 15 | |
| 15 | 2 | |
| 16 | 4 | |
| 17 | 33 | |
| 18 | 28 | |
| 19 | Comparison of facial features of DiGeorge syndrome (DGS) due to deletion 10p13-10pter with DGS due to 22q11 deletion | 4 |
| 20 | Application of Molecular Genetics to the Diagnosis of Inherited Diseases: Edited by K E Davies. pp 90. Royal College of Physicians, London. 1990 | 6 |
About Jill M. Brown
Jill M. Brown is a scholar working on Hematology, Structural Biology and Genetics, having authored 43 papers that have together received 2.2k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (12 papers), Genomic variations and chromosomal abnormalities (9 papers) and Acute Myeloid Leukemia Research (8 papers). The work is most often cited by research in Hematology (291 citations), Molecular Biology (1.7k citations) and Structural Biology (27 citations). Jill M. Brown has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Veronica J. Buckle, Douglas R. Higgs, Jim R. Hughes, W. G. Wood, Francisco J. Iborra, Lothar Schermelleh, James Davies, Robert E. Kearney, Joyce E. Reittie and Ann Atzberger. Their work appears in journals such as Nature, Science and Nature 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.