Jane E. Barker
- Hematology top 1%
- Blood groups and transfusion 17
- Hematopoietic Stem Cell Transplantation 8
- Iron Metabolism and Disorders 6
- Physiology top 0.5%
- Erythrocyte Function and Pathophysiology 35
- Lysosomal Storage Disorders Research 15
- Nitric Oxide and Endothelin Effects 8
- Genetics top 1%
- Hemoglobinopathies and Related Disorders 23
- Cell Biology top 1%
- Immunology top 5%
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- Blood properties and coagulation 8
- Co-authors
- Sunao TakeshitaOsami KanagawaJonathan LamSteven L. TeitelbaumF. Patrick RossYuko MunakataLaura MichaelsonConnie S. Birkenmeier
- Cited by
- HematologyPhysiologyGenetics
- Journals
- Blood (13 papers)Proceedings of the National Academy of Sciences (9 papers)Experimental Hematology (6 papers)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Jane E. Barker
119 papers receiving 6.8k citations
Hit Papers
Peers
Comparison fields: 5 of 186
- Hematology 979
- Physiology 2.1k
- Genetics 842
- Cell Biology 810
- Immunology 875
Countries citing papers authored by Jane E. Barker
This map shows the geographic impact of Jane E. Barker'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 Jane E. Barker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jane E. Barker more than expected).
Fields of papers citing papers by Jane E. Barker
This network shows the impact of papers produced by Jane E. Barker. 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 Jane E. Barker. The network helps show where Jane E. Barker may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jane E. Barker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 19 | |
| 2 | 2016 | 99 | |
| 3 | 2014 | 120 | |
| 4 | 2005 | 6 | |
| 5 | 2003 | 10 | |
| 6 | 2003 | 11 | |
| 7 | 2001 | 18 | |
| 8 | 2001 | 22 | |
| 9 | 2000 | 13 | |
| 10 | 2000 | 50 | |
| 11 | 2000 | 8 | |
| 12 | 2000 | 25 | |
| 13 | 2000 | 24 | |
| 14 | 1999 | 42 | |
| 15 | 1999 | 83 | |
| 16 | An Examination of the Long-Term Effects of Sexual Assault Using Linear Structural Equation Modelling | 1998 | 1 |
| 17 | 1998 | 31 | |
| 18 | 1993 | 27 | |
| 19 | 1988 | 13 | |
| 20 | 1971 | 67 |
About Jane E. Barker
Jane E. Barker is a scholar working on Hematology, Genetics and Physiology, having authored 119 papers that have together received 7.1k indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (35 papers), Hemoglobinopathies and Related Disorders (23 papers), Blood groups and transfusion (17 papers), Lysosomal Storage Disorders Research (15 papers), Nitric Oxide and Endothelin Effects (8 papers), Blood properties and coagulation (8 papers), Hematopoietic Stem Cell Transplantation (8 papers) and Iron Metabolism and Disorders (6 papers). The work is most often cited by research in Hematology (979 citations), Physiology (2.1k citations) and Genetics (842 citations). Jane E. Barker has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Sunao Takeshita, Osami Kanagawa, Jonathan Lam, Steven L. Teitelbaum, F. Patrick Ross, Yuko Munakata, Laura Michaelson, Connie S. Birkenmeier, Nicolas Chevalier and Mark S. Sands. Their work appears in journals such as Blood, Proceedings of the National Academy of Sciences, Experimental Hematology, Blood Cells Molecules and Diseases and Journal of Cellular Physiology.
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.