Jonathan Frampton
Impact in
- Hematology top 2%
- Platelet Disorders and Treatments
- Acute Myeloid Leukemia Research
- Cell Biology top 5%
- Zebrafish Biomedical Research Applications
Papers in
- Hematology 14
- Platelet Disorders and Treatments 9
- Hematopoietic Stem Cell Transplantation 4
- Acute Myeloid Leukemia Research 3
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- Zebrafish Biomedical Research Applications 4
- Co-authors
- Thomas Graf (3 shared papers)Michael H. Sieweke (1 shared paper)Hille Tekotte (1 shared paper)Nikla R. Emambokus (1 shared paper)Ian A. Anton (1 shared paper)Michael L. Mucenski (2 shared papers)Kelly Marshall McNagny (1 shared paper)Gerard Brady (1 shared paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Jonathan Frampton
32 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 90
- Hematology 435
- Cell Biology 307
- Immunology 312
- Immunology and Allergy 84
- Molecular Biology 958
Countries citing papers authored by Jonathan Frampton
This map shows the geographic impact of Jonathan Frampton'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 Jonathan Frampton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Frampton more than expected).
Fields of papers citing papers by Jonathan Frampton
This network shows the impact of papers produced by Jonathan Frampton. 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 Jonathan Frampton. The network helps show where Jonathan Frampton may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Frampton, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 266 | |
| 2 | 1988 | 128 | |
| 3 | 2003 | 119 | |
| 4 | 1992 | 115 | |
| 5 | 2006 | 105 | |
| 6 | 2009 | 98 | |
| 7 | 2000 | 91 | |
| 8 | 1989 | 75 | |
| 9 | 2004 | 71 | |
| 10 | 1988 | 65 | |
| 11 | 2009 | 65 | |
| 12 | 2008 | 57 | |
| 13 | 1982 | 47 | |
| 14 | 2002 | 45 | |
| 15 | 2008 | 42 | |
| 16 | 2000 | 38 | |
| 17 | 2000 | 36 | |
| 18 | 2000 | 30 | |
| 19 | 2000 | 30 | |
| 20 | 2015 | 24 |
About Jonathan Frampton
Jonathan Frampton is a scholar working on Hematology, Cell Biology, Immunology and Allergy, Molecular Biology and Genetics, having authored 34 papers that have together received 1.6k indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (9 papers), Pluripotent Stem Cells Research (4 papers), Cell Adhesion Molecules Research (4 papers), Hematopoietic Stem Cell Transplantation (4 papers), Zebrafish Biomedical Research Applications (4 papers), Genomics and Chromatin Dynamics (3 papers), Acute Myeloid Leukemia Research (3 papers) and Erythrocyte Function and Pathophysiology (3 papers). The work is most often cited by research in Hematology (435 citations), Cell Biology (307 citations), Immunology (312 citations), Immunology and Allergy (84 citations) and Molecular Biology (958 citations). Jonathan Frampton has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Thomas Graf, Michael H. Sieweke, Hille Tekotte, Nikla R. Emambokus, Ian A. Anton, Michael L. Mucenski, Kelly Marshall McNagny, Gerard Brady, Ian Chambers and Robert W. Sumner. Their work appears in journals such as Blood, Oncogene, Cell, Nature and Gene.
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.