Jonathan Frampton

1.9k citations
27 papers · 1.4k indexed · h-index 20

Impact in

  • Hematology top 2%
    • Platelet Disorders and Treatments
    • Acute Myeloid Leukemia Research
    • Zebrafish Biomedical Research Applications

Papers in

    • Genomics and Chromatin Dynamics 3
    • Platelet Disorders and Treatments 9
    • Acute Myeloid Leukemia Research 3

Jonathan Frampton

27 papers receiving 1.4k citations

Peers

Jonathan Frampton
Comparison fields: 5 of 90
  • Hematology 402
  • Cell Biology 292
  • Immunology 291
  • Immunology and Allergy 80
  • Molecular Biology 837
Replace Ursula Just with:
Ursula Just Germany
Yuka Nagata Japan
A.M. de Leeuw Netherlands
Paola Borgatti Italy
S. Peter Klinken Australia
Gerlinde Stark Switzerland
Michael E. Rusiniak United States
Takahisa Hachiya Japan
Verónica Ayllón Spain
Andrea Bianchini Italy
Jonathan Frampton relative to Ursula Just Germany Ursula Just's profile →
Citations per field
00.5×1.5×2.0×
Ursula Just · 1×
Citations per year

Countries citing papers authored by Jonathan Frampton

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jonathan Frampton Line = papers co-authored together Jonathan Frampton links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996250
2 1992120
3 2003107
4 1988107
5 2006105
6 2009100
7 200086
8 200472
9 200962
10 200855
11 198242
12 200241
13 200840
14 200036
15 200032
16 200030
17 200030
18 201520
19 200519
20 198719

About Jonathan Frampton

Jonathan Frampton is a scholar working on Molecular Biology, Hematology, Cell Biology, Immunology and Allergy and Immunology, having authored 27 papers that have together received 1.4k indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (9 papers), Zebrafish Biomedical Research Applications (5 papers), Cell Adhesion Molecules Research (4 papers), Acute Myeloid Leukemia Research (3 papers), Genomics and Chromatin Dynamics (3 papers), Erythrocyte Function and Pathophysiology (3 papers), Blood properties and coagulation (3 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Hematology (402 citations), Cell Biology (292 citations), Immunology (291 citations), Immunology and Allergy (80 citations) and Molecular Biology (837 citations). Jonathan Frampton has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Thomas Graf, Hille Tekotte, Michael H. Sieweke, Nikla Emambokus, Kelly M. McNagny, Gerard Brady, Michael L. Mucenski, Robert W. Sumner, Ian Chambers and Roger A. Sunde. Their work appears in journals such as Blood, Oncogene, Cell, Molecular and Cellular Biology and British Journal of Haematology.

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.

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